DILLI BABU P.

Bibliometric Expert & Data Analyst — 5 star across 57 reviews, 100% Job Success Score, 11+ years on Upwork. I turn raw Scopus, Web of Science, and PubMed data into decision-ready research intelligence: landscape studies, network maps, productivity analyses, and publication-ready figures. Researchers, universities, R&I institutions, PhD candidates, and consulting teams hire me when they need bibliometric and data-analysis work that's methodologically sound, properly visualized, and ready to drop into a paper, grant application, board pack, or strategy document. What recent clients have said: "Dilli was excellent both in communication and task completion. I'm very glad I chose his services for completing the bibliometric analysis. He made sure to consult with me every step of the way." — Bibliometric study of 32 Lithuanian R&I institutions, climate research "The combination of his technical skills with meticulous detail orientation generated insightful information, which significantly improved our understanding of the dataset." — Co-occurrence and cluster analysis project "Exceptional work! High-quality results on time and exceeded my expectations… professional and exactly what I needed." — Web of Science bibliometric analysis 🔹 Bibliometric & Scientometric services - Performance analysis — authors, institutions, countries, funding bodies - Co-authorship and international collaboration networks - Co-citation and bibliographic coupling - Keyword co-occurrence and thematic clustering - Topic evolution and emerging-research mapping - Journal-level analysis (JCR, SJR, CiteScore, h-index) - Systematic literature reviews with PRISMA-aligned search strategies - Publication-ready maps, tables, and interactive dashboards 🔹 Data analysis services - Dataset cleaning, deduplication, and structuring (Scopus/WoS exports, CSV, Excel) - Descriptive and inferential statistics - Trend, cohort, and segmentation analysis - Data visualization in Power BI, Tableau, and advanced Excel - Ad-hoc analytical reports with a clear narrative and recommendations - Reproducible workflows so analyses can be re-run as data updates 🔹 Tools I work with daily Databases: Scopus · Web of Science · Dimensions · Lens .org · PubMed · Google Scholar Bibliometrics: VOSviewer · Bibliometrix (R) · CiteSpace · BibExcel · Publish or Perish Analysis & viz: Excel (Advanced) · Power BI · Tableau · SQL Qualitative: NVivo 🔹 How I work 1. Short discovery call or written brief — I want to understand the research question or decision behind the request, not just the keyword list. 2. Scope, deliverables, and timeline confirmed in writing. 3. Methodology summary before I run queries, so you can sanity-check the search strategy and inclusion criteria. 4. Mid-project check-in with preliminary maps and findings. 5. Final delivery: raw extract + cleaned dataset + visualizations + a short written interpretation. 6. One round of revisions included; happy to walk through findings on a call. Most projects are scoped fixed-price after the initial discussion. Hourly works well for ongoing research support or open-ended exploratory analysis. Send me your topic, keyword set, RFP, or research question along with your deadline and I'll come back with a concrete plan, sample output references, and a price. About a third of my work is repeat clients — methodology samples and references available on request.