How to Write a Research paper? | Scopus/SCIE | eSupport for Research | RL-01 | 2022 | Dr. Akash Bhoi

A strong research paper is built around a simple promise: deliver new, original value that can be permanently discoverable and credible in major indexing platforms such as Scopus/SCIE and Web of Science. The lecture frames publication as both a scientific contribution and a career necessity—offering a lasting digital record (via an author-registered identifier) that remains tied to the researcher for life. Motivation can range from self-satisfaction and public service to institutional pressure for accreditation, but the core requirement stays the same: publish work that adds knowledge rather than repeats what already exists.

Choosing what to publish starts with originality and relevance. The work should present new results, a novel or improved method, or a meaningful value addition to existing findings—similar to how software updates build on earlier versions instead of starting from scratch. Equally important is knowing what not to publish: outdated material, already-published data, or content that is easy to find elsewhere without adding new insight. The lecture also emphasizes that “strong manuscripts” are necessary for acceptance; weak submissions typically fail to meet journal expectations.

Once the research is ready, the paper’s structure becomes the roadmap for readers and reviewers. A clear, brief, and informative title sets expectations. The abstract must be concise while still communicating scope and summarizing results; it should be short enough to avoid unnecessary length but complete enough to stand on its own. Keywords help the right audience find the paper—especially when the research area is specific (for example, searching for arrhythmia or machine learning alongside ECG signal processing). The introduction must earn attention: since the title and abstract are visible first, the introduction should explain why the full article matters and what problem it addresses.

After the introduction, a literature review situates the work within prior studies, and the methods section (material and methods) details the experimental design and any algorithms developed. Results should be presented with care: tables should be editable, figures and images should be high resolution, and visuals should be readable rather than compressed. The discussion should connect findings to broader applicability, including challenges encountered during the work and, where appropriate, comparative tables that measure achieved results against existing approaches.

The conclusion should do more than summarize—it should emphasize key statistical findings and logically confirm that stated objectives were met, matching the abstract and conclusion so they reinforce each other. The lecture also highlights practical and ethical components: obtain mutual consent from all authors before submission, use acknowledgements for financial support or non-author contributions, and cite primary sources to give proper credit and maintain research ethics.

Finally, writing quality depends on clarity and reader focus. The lecture recommends avoiding repetitive equations and cluttered figures, limiting excessive tables, and steering clear of grammatical or graphical errors through multiple rounds of proofreading and co-author review. It closes by noting that a follow-up session will address document types and where to submit—once the manuscript is ready.