Writing Academic Papers

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  • View profile for Sofiat Olaosebikan, PhD

    Inspiring belief, audacity, and action in students and young professionals || Speaker || Asst Professor at University of Glasgow || Founder, CSA Africa || UK Global Talent || Elevate Africa Fellow

    19,840 followers

    You're not bad at academic writing.  You just don't have a system. Everyone says "read more papers, write more often." But nobody shows you how to actually improve. Here's how: 1. Find your accountability partner  → You don't get extra points for struggling alone.  → Find someone who writes well and will give you real feedback. 2. Identify your weak spots → Don't try to fix "bad writing."  → Fix concrete things: Is your challenge structure, flow, clarity, or vocabulary?  → You can’t fix what you can’t name. 3. Read good papers AND bad papers → Good papers show you what works.  → Bad papers teach you what to avoid.  → Study how they structure arguments, not just what they say. 4. Read beyond your field → Reading academic papers alone won't teach you writing craft.  → Read actual books on writing, blog posts, and articles.  → Great writing anywhere teaches clarity everywhere. 5. Write every single day → 15 minutes minimum.  → A short reflection, a random thought, a summary of anything.  → Writing fluency comes from repetition. 6. Translate your research for non-experts  → If you can't explain it simply, you don't understand it well enough.  → Write blog posts or LinkedIn articles about your work. 7. Stop editing while you draft  → First draft = get ideas down.  → Second draft = make it good.  → Third draft = polish.  → Trying to be perfect while writing first draft kills momentum. 8. Get feedback early and often  → Waiting for "complete" drafts slows your growth.  → Share rough paragraphs and messy outlines. → Fast feedback beats slow perfection every time. Writing isn't a talent you're born with. Every great academic writer you admire once wrote terrible first drafts too. The difference is they kept writing. If you're struggling right now, don't be too hard on yourself. Follow these steps. Read → Write → Feedback → Reflect → Iterate PS: What helped you improve your academic writing? _____ (🔁) REPOST. Someone in your network needs this. 

  • View profile for Dawid Hanak
    Dawid Hanak Dawid Hanak is an Influencer

    Professor advising industry & SMEs on evidence-based business cases for net zero and technology appraisals | TEA, LCA, Financial modelling | Low-Carbon, CCUS, Hydrogen Advisory | Helping academics publish & make impact

    61,339 followers

    One of the biggest mistakes I made when writing my academic papers: I hid strong ideas inside long, tangled sentences and long manuscripts. Now I understand why. Our work is nuanced. Our field is technical. Our thinking is layered. But if the sentence is way too long and spreads over several lines, it needs editing. Clarity increases impact. Not because the science becomes simpler. Because the reader can finally see it. A few things I always look for in a draft: - One idea per sentence - One theme per paragraph - Fewer stacked clauses - Less jargon where plain language works - Less “thesis mode,” more reader mode Here is the test: If a smart person outside your narrow subfield can follow your method and logic, your paper is stronger. A lot of researchers think better writing means sounding more academic. Usually it means sounding more human. Your paper does not need more fancy words. It needs more precision. What is one writing habit you had to unlearn in academia? #science #scientist #research #researcher #phd #postdoc #publishing

  • View profile for Scott Wagers

    Helping researchers companies, and patient-centered non-profits improve their positioning and reputation as innovation leaders. | funding proposal support - 56% success rate | collaborative team performance coaching

    5,715 followers

    Make writing a proposal for research funding easy. Here is how. There is a tendency to rapidly begin filling in the parts of the application form as soon as possible. With a deadline looming, I used to ask all the partners in a consortium project to state filling in their work packages right away after the first meeting. I had a sooner the better mentality. My plan would be that once we had work packages written I would piece them together. The result. Frankenstein projects. Work packages that did not align, and objectives that sounded like they were each describing different projects. It was a writing nightmare. I was trying sew different ideas together. Reviewers see stitches. Like a good scientific paper, a funding proposal has to have a good logical flow. I now realize that the panicked approach I took previously to funding proposal development is not how to do it. It is much better to be 100% certain of the concept. Then write. For some projects this happens very quickly. Other projects take much more time. Sometimes what you are aiming to do is just complicated and full of uncertainties. Take that time. For scientific papers an outline works. For funding proposals the first step is to get all those involved aligned on the concept. This is not to say you don't write anything at all. To the contrary writing is a way to think. But you need to build up the layers. 1️⃣ Describe the problem and what you will do on a high level. 2️⃣ Then the impacts, outcomes and outputs you intend to have 3️⃣ Then the methods. ➡️ Methods are where you often uncover subtleties and problems that were not apparent at first. You need to solve those problems and the accompanying doubts before you can really begin to write. 4️⃣ Then you can build a project plan. Not before. "Give me six hours to chop down a tree and I will spend the first four sharpening the axe." -Abraham Lincoln Take the time to get the concept right, then write. 

  • View profile for Muhammad Haroon SHOUKAT

    AI & Service Innovation | Hospitality & Tourism Researcher | Emerald Literati Award Winner | Smart Research Workflows

    80,052 followers

    How I improve my write-up Academic writing is dry and technical. That’s what I believed — until I realized boring papers don’t get read, cited, or remembered. Over the past 5 years, I have published 40+ papers — and the biggest shift came when I started treating each one like a story. Here’s how to give your paper a narrative arc — section by section 👇 🟡 ABSTRACT → This is your movie trailer - Highlight the central problem + why it matters - Tease your findings; don’t over-explain 🔴 INTRODUCTION → Hook your reader - Open with something unexpected (add few Stats) - Define the gap & present a fresh angle 🔵 LITERATURE REVIEW → Think of it as a map (Underpinned with a story). - Show where others went wrong or stopped short - Synthesize — don’t just summarize. 🟣 METHODS → Clarity beats complexity - Be specific: what, how, and why - Use visuals to simplify if needed 🟠 RESULTS → Let the data speak - Highlight surprises - Keep it visual and focused 🟢 DISCUSSION → This is your impact zone - Explain why it matters - Link back to the research gap and future directions ⚪ LIMITATIONS & FUTURE WORK → Not flaws — they’re springboards - Show what’s next, not just what’s missing 📌 Want your work to stick in a reviewer’s mind? Make it a story worth reading — not just a report. ♻️ Save this post and share it with a colleague writing their next draft. Follow Muhammad Haroon Shoukat ——————————————————————- 50k+ follow me here — but only a few read "The Hybrid Researcher". Be one of them 👉 https://lnkd.in/dMB8YJgm Connect with me on all my social platforms: https://tr.ee/yEg4hY

  • View profile for Lennart Nacke

    Research Chair helping experts & researchers turn AI into reclaimed time and independent income. Workflows I use daily, taught weekly in my membership. 300+ papers · 45K citations · 180K audience

    107,759 followers

    I use this writing framework to get my papers accepted. (Already 12+ published this year by July.) Don't just write! Guide your reader with the PASTOR. How to use the 𝗣𝗔𝗦𝗧𝗢𝗥 framework: (It's from marketing, but we map it to academic writing:) 1. PROBLEM: Identify the gap • State a clear gap in existing literature. • Nail the problem your research tackles. Be explicit about the issue. ❌ 'This area needs more study.' ✅ 'Current methods fail to address X accurately.' Vagueness won't cut it. Clearer = better. Whoomp. 2. AMPLIFY: Make the gap painful. • Discuss the impact • Show what we lose by not addressing it. Emphasize the stakes. ❌ 'It's a significant problem.' ✅ 'Ignoring it costs companies millions annually and impacts the health of X people.' Impact is measurable, not a loose claim. 3. STORY: Share a failed case • Use a real example of academic struggle. • Link it to your problem. Make it relatable. Make it matter. ❌ 'Some past work struggled to build autonomous systems.' ✅ 'Zhang et al. (1999) attempted to built an autonomous learning system but the capabilities of software were limited at that point.' Anonymous examples don't stick. Real names and struggles do. 4. TRANSFORM: Use testimonials academia style • Cite related work for the problem. • Have a discussion with it. Show how it was done. Mark what's missing. Explain fix. ❌ 'Similar studies have been conducted.' ✅ 'Smith's 2020 study tackled A and B but missed C.' Don't just name-drop or citation dump. Show exactly what's missing. 5. OFFER: Contribute big time • Show your research contribution. • Link it back to the problem you identified. Value over volume. ❌ 'We conducted 5 experiments.' ✅ 'Our research solves X by using a new experimental approach.' What you did matters less than what you achieved. 6. RESPONSE: Call for future action • Outline follow-up research. • Suggest practical applications. Guide, don't just end. ❌ 'More research is needed.' ✅ 'The next step is to apply these findings to Y.' Give them the 'So what?'. Avoid vague endings. Boom. Have you tried writing with this framework? #phd #research #writingtips

  • View profile for Emmanuel Tsekleves

    Complete your PhD/DBA on time | Professor helping doctoral researchers with their doctorate & thesis | 45+ Theses Examined | 30+ PhDs/DBAs Mentored | Thesis Writing, Research Skills & Al in Research | Founder, PhDtoProf

    239,248 followers

    I wasted 6 months on the wrong literature review (and how you can avoid my mistake) Picking the wrong type of literature review is like building a house on sand - your entire research can collapse before you publish. I've helped many confused researchers who spent months working on reviews that journals quickly rejected because they chose the wrong approach from the start. Here's a simple guide to the 6 main types of literature reviews: 1. Systematic Review • What: Looks at ALL studies on a specific question • When to use: For medical decisions or when you need the most complete evidence • Good: Most trusted and least biased • Bad: Takes months to complete and often needs a team 2. Narrative Review • What: Gives an overview with the author's perspective • When to use: For background information or teaching • Good: Easy to read and covers many ideas • Bad: May be biased and can't be easily reproduced 3. Scoping Review • What: Maps what's known and what's missing in a field • When to use: To see if more research is needed or define a new area • Good: Great for finding gaps and setting boundaries • Bad: Doesn't judge how good the studies are 4. Meta-Analysis • What: Combines results from many studies using statistics • When to use: When many studies with similar numbers exist • Good: Gives stronger and more precise answers than single studies • Bad: Only works with number-based studies and requires special skills 5. Umbrella Review • What: A review of other reviews • When to use: When many reviews already exist on your topic • Good: Efficiently covers huge amounts of evidence • Bad: Only as good as the reviews it includes 6. Critical Review • What: Deep critique of existing research • When to use: To challenge current thinking or improve methods • Good: Creates new ideas and finds problems • Bad: Very subjective and needs expert knowledge The most successful researchers don't just dive in - they choose the right tool for the job first. Which type of review are you working on? #phd #academia #AcademicWriting #PhDLife

  • View profile for Asma Azhar, PhD

    Helping PhD & Master’s researchers master data analysis & research methods | SPSS · R · NVivo | Systematic Reviews & Statistics | Founder, Research Crave

    43,556 followers

    Nobody taught you the structure of a research paper. They just handed you a blank Word document and said "write." 👇 Here's what nobody tells you: 𝗛𝗮𝘃𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗶𝘀 𝗻𝗼𝘁 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗮𝘀 𝗵𝗮𝘃𝗶𝗻𝗴 𝗮 𝗽𝗮𝗽𝗲𝗿. 𝗔𝗻𝗱 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 — 𝗲𝘃𝗲𝗻 𝗴𝗿𝗲𝗮𝘁 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗴𝗲𝘁𝘀 𝗿𝗲𝗷𝗲𝗰𝘁𝗲𝗱. Every publishable paper follows the same skeleton. We call it the Fish Model — and here's exactly how it works: 🐟 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁 — The Head Your problem statement, methodology, summary of findings, and conclusion. Reviewers read this first. If it doesn't hook them — they stop here. 🐟 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 — The First Bone Literature review, the problem/burden, what is known vs unknown, and your aim and hypothesis. This is where you prove the gap is real. 🐟 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆 — The Spine Study design, study population, data source, risk factors, and statistical analysis. Every single choice must be justified. A weak spine collapses the entire paper. 🐟 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 — The Body What did you find? Primary and secondary findings. Data represented in tables and figures. Tell the examiner what happened — not what it means. That comes next. 🐟 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 — The Second Bone Interpretation and contextualization of findings in relation to existing knowledge. Significance, implications, and limitations. Most researchers write a second Results chapter and call it Discussion. Don't be that researcher. 🐟 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 — The Tail The take-home message. Circle back to the exact problem you opened with. If you started by saying "the world lacks X" — end by saying "here is X, and here is what it changes." 🐟 𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀 — The Foundation The existing knowledge you built this work upon. This is not a formality. It is the evidence that your gap was real. Save this. Share it with every researcher you know. The structure was always there. Now you have the map. 🗺️ 📩 asma@researchcrave.com 🌐 www.researchcrave.com whatsapp: https://wa.link/bbvf22 #AcademicWriting #ResearchPaper #PhDLife #ScholarLife #PublishOrPerish #ResearchMethodology #ThesisWriting #JournalPublication #AcademicResearch #ResearchCrave #LiteratureReview #ScientificWriting #GradSchool #PostgraduateResearch #DissertationHelp #ResearchTips #AcademicSuccess #ScholarlyWriting #PeerReview #ResearchSkills #WritingTips #HigherEducation #AcademicCommunity #PhdStudent #MastersStudent #ResearchDesign #PaperWriting #PublicationTips #AcademicLife #OpenScience

  • View profile for Dr Priya Singh PhD💜MD(Hom.)

    Academic Writing Mentor & AI Research Tools Expert | Helping PhDs/DBAs/Masters/Grads & Faculties write better & Publish Faster | Thesis Mentor & Reviewer | Founder, Research Made Clear | Life Sciences PhD

    78,105 followers

    Most researchers are using AI tools for literature reviews the wrong way. They ask AI to “find papers” and hope for the best. That is not a literature review strategy. That is search outsourcing. Used properly, AI can save time, improve structure, and help you think more clearly. But it should support your judgment, not replace it. Here are practical tips I give research students: 1. Start with your question, not the tool A vague research question creates vague results. Define your topic, population, variables, or context first. 2. Use AI for search expansion Ask AI for synonyms, related terms, alternate spellings, and discipline-specific keywords. This improves database searching. 3. Use AI to screen faster Paste abstracts and ask for relevance against your inclusion criteria. This helps with first-pass screening. 4. Use AI to compare studies Ask it to summarise differences in methods, sample sizes, findings, and limitations across papers. 5. Use AI to identify patterns Good reviews are not summaries. Ask: What themes repeat? Where do studies disagree? What populations are ignored? What methods dominate? 6. Verify every citation Never trust references blindly. Cross-check authors, journal, DOI, and publication year. 7. Use AI for structure, not authorship AI can help organise themes and draft outlines, but your interpretation must lead the review. 8. Keep a decision trail Document search terms, databases, inclusion criteria, and why papers were included or excluded. Use AI as an assistant, not as a scholar. PS: What AI tool has actually helped your literature review most? Share in the comments REPOST to help others. Follow Dr Priya Singh, Founder Research Made Clear for more insights For research tutorials and AI tool guides, subscribe to my YT channel: https://lnkd.in/e8zWuWV2

  • 📝 How I Use Tenses in My Research Paper ⏳ In academic writing, using the right tense at the right time is crucial for clarity, consistency, and precision. Over the years, I've developed a clear approach to using tenses in each section of my research paper. Here’s how I use tenses in different sections: --- 1️⃣ Abstract ✔ Present Simple & Present Perfect In the abstract, I typically use the present simple to state the overall findings or conclusions and present perfect to highlight previous research or actions that have relevance to the current study. Example: "This study explores... Previous research has shown..." --- 2️⃣ Introduction ✔ Present Simple & Present Perfect In the introduction, the present simple is used to state general facts, background information, and theoretical frameworks, while present perfect is used to discuss what has already been done in the field. Example: "The theory of X explains... Researchers have examined..." --- 3️⃣ Literature Review ✔ Present Perfect & Past Simple In this section, present perfect helps to show that research has been conducted in the past but still holds relevance today. Past simple is used when referencing specific studies or events. Example: "Numerous studies have suggested... Smith (2020) found that..." --- 4️⃣ Methodology ✔ Past Simple The methodology section is largely written in the past simple tense because it focuses on what actions were taken or experiments conducted during the research process. Example: "Data was collected through... The sample size was determined by..." --- 5️⃣ Results and Discussion ✔ Past Simple & Present Simple In the results section, I use past simple to describe what was observed or measured. In the discussion, I shift to the present simple to interpret the results and draw conclusions. Example: "The data showed a significant increase... These results suggest that..." --- 6️⃣ Conclusion ✔ Present Simple & Future Tense In the conclusion, I often use the present simple to summarize the main findings and future tense to discuss the potential implications or future research directions. Example: "This study concludes that... Future research will explore..." --- 🔑 Key Tips Be Consistent: Consistency in tense usage across sections maintains clarity. Choose Tenses Based on Time: Use past tenses for describing actions already completed and present tenses for ongoing or general truths. Review Journal Guidelines: Some journals may have specific preferences for tense usage in certain sections, so always double-check their guidelines. Avoid Overcomplicating Tenses: Stick to the most appropriate tense to keep your writing simple and easy to follow.

  • View profile for Rod Pallister

    PhD & Master’s Thesis Consultant | Examiner-Alignment Specialist | Structural Clarity for Proposals & Dissertations (UK, EU, US, Canada, Australia, Gulf States)

    38,830 followers

    PhD: Why your literature review is failing before you realize it   Many PhD students treat their literature review as a mere formality, gather sources, list citations, and move on. As an examiner, I often see this flaw. A weak literature review quietly erodes your entire thesis long before you get to the defense.   Let’s look at some problem areas.   1) Aimless summarizing, not synthesis Students stack summaries like bricks, hoping something strong will emerge. But what examiners look for is a conceptual map, a framework that shows how each source advances your argument. If you only summarize, your review drifts and becomes fragmented.   2) Too broad Some reviews race across decades, citing everything but never narrowing to the exact problem. Examiners see this as avoidance, no focus, no anchor.   4) Too narrow Others cling to a small set of sources, citing the same authors repeatedly. This leaves the thesis fragile and built on too narrow a base.   5) Missing the exact gap The core risk is that your review never clearly states, “this is the precise gap my study fills.” Examiners want to see the exact problem, defined so your study’s purpose feels logically necessary.   6) Overlooking key scholars Sometimes students miss seminal scholars who would validate their gap. When that happens, the argument feels orphaned and unanchored.   7) Balancing seminal and recent studies A strong literature review doesn’t just rely on the newest research. It anchors itself in seminal authors, those pivotal studies that established the field. However, examiners also expect a deliberate inclusion of more recent work so your study becomes rooted in established theory and responsive to current debates… capturing historical and contemporary relevance.   8) The human side I know this is hard. You’re deep in the process, and you know you’ve read widely, but you’re still not sure why your review isn’t clicking. I’ve seen brilliant students stall here, not because they’re less capable, but because their review never anchors their logic. Once it clicks, once your review logically frames the gap, your thesis starts to move forward with confidence.   9) Trust the process This isn’t about speed; it’s about precision. Once you precisely define your contribution, the whole thesis gains momentum.   10) Small shifts, big impact Sometimes, the change isn’t dramatic. It’s not about adding a dozen new papers. It’s about tightening how you position them. Instead of summarizing, you clarify where scholars agree, where they diverge, and where debates are unresolved. That connective tissue, those deliberate sentences of comparison and positioning, often determine whether a review feels descriptive or analytical.   Remember, examiners aren’t just looking at isolated chapters, they’re asking, “does this review anchor the gap and set the stage for a future research agenda?”   If this rings true, and you’re unsure how to fix your review, email me for an examiner-style structural review.

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