Biblio Infinity logoBiblio Infinity BETA v1.0 by Dr.AI Studio Cite & validation
The world’s most complete free bibliometric platform

Upload your exports

The only free tool that also gives your corpus QS & THE rankings

Statistics, thematic & world maps, university rankings, cultural dimensions, World-Bank country panels and an AI-interpreted science map — everything runs privately in your browser.

🔒 Files never leave your browser — 100% private & free, no install
Upload your exports — one box per databaseDrop each file into its source box so Biblio Infinity tags and treats it correctly, then combine. Add several boxes to merge databases and de-duplicate across them.
SCScopus.csv
CSV export
＋ drop or browse
WoSWeb of Science.txt/.ciw
Plain text / tab-delimited
＋ drop or browse
PmPubMed.nbib
MEDLINE / PubMed format
＋ drop or browse
ENRIS / EndNote.ris
EndNote · Mendeley · Zotero
＋ drop or browse
BBibTeX.bib
Scholar · BibTeX
＋ drop or browse
◉Other science-mapping.json
Map / network / JSON
＋ drop or browse
No files added yet
Just one file? You can also use “Open file” at the top, drop it anywhere on the page, or try a sample below.
🌐 No export file? Fetch from OpenAlexopen scholarly index · 250M+ works · includes Crossref metadata · no account needed
🧭 HRM Research Landscape Keyword co-occurrence map of contemporary human resource management research themes, with a publication-year overlay. ILLUSTRATIVE SAMPLE
🎓 AI in Education Keyword co-occurrence map of the emerging AI-in-education literature — ideal for testing the overlay and density views. ILLUSTRATIVE SAMPLE
Use Biblio Infinity inside Claude Prefer to work in Claude? Download the free Biblio Infinity skill, hand Claude a Scopus, Web of Science, PubMed, BibTeX or RIS export, and it runs the same pipeline — h/g-index, Bradford & Lotka, the thematic strategic map, co-occurrence & co-authorship networks with Louvain clusters — computed in code, with exact, reproducible numbers and a methods read-out.
⬇ Download skill

Frequently asked questions

What file formats and sources can I use?

Files: Scopus CSV (include citation information, keywords and references when exporting), Web of Science (plain text or tab-delimited), PubMed .nbib/MEDLINE, BibTeX (e.g. Google Scholar exports), RIS, plus standard map/network/JSON files. No file? Fetch a corpus directly from OpenAlex by topic search, or build a seed-paper citation map. Bibliographic data unlocks the full statistics dashboard; map/network files open the map directly.

How does data cleaning work?

The 🧹 Clean data tool finds duplicate records (by DOI or identical normalized title) and merges them keeping the highest-cited copy; groups author name variants that share a surname and first initial (e.g. "A. Inam", "Inam, A.", "Aneeq Inam") for one-click unification; and suggests keyword merge rules (plural/singular, hyphenation) that are added to the thesaurus. Everything runs locally and rebuilds the statistics and map.

What statistics are extracted?

Documents, timespan, sources, authors, distinct keywords, total and mean citations, the corpus h-index, single-authored share, co-authors per document, international co-authorship, annual scientific production with growth rate, top sources, top authors, top keywords, countries (from affiliation text), and the most cited documents. Everything is computed locally and exportable as CSV.

Can I filter and edit the statistics?

Yes. A filter bar at the top of the dashboard lets you restrict the corpus by publication-year range and minimum citations, and switch the keyword field between author keywords, index keywords, or both. Every ranked panel (sources, authors, keywords, countries, most-cited) has an ⤢ Expand button that opens the full list in a sortable, searchable table where you can exclude noise items with a checkbox and export the table to CSV. Each panel also has a quick Top-N selector. Applying any change recomputes all statistics, the science map and the AI inputs on the edited set.

Which classic bibliometric analyses are included?

Beyond the statistics dashboard and science maps: the thematic (strategic) map placing clusters in motor / basic / niche / emerging quadrants by Callon centrality and density; Bradford's Law core-journal zones; Lotka's Law author-productivity fit; a three-fields plot linking authors, keywords and sources; a keyword growth heatmap; a world map of production and international collaboration; a historiograph of direct-citation lineage; and author, source and reference co-citation plus bibliographic-coupling networks. Everything exports to a multi-sheet Excel workbook.

What advanced metrics are computed?

Per item: betweenness centrality (Brandes/Freeman — items with centrality ≥ 0.10 are flagged as pivotal points, the candidate intellectual turning points of Chen's method), Kleinberg burst detection on yearly occurrences (research-front candidates), and sigma = (centrality + 1)^burst as a novelty indicator. Per cluster: silhouette (interpretation confidence). Per network: modularity Q. The Timeline view arranges clusters as lanes against a year axis to show the field's evolution, and reference-based networks (co-citation, bibliographic coupling) reveal the intellectual base of the corpus.

How is the network built from a Scopus CSV?

For keyword co-occurrence, two keywords are linked when they appear in the same document; link strength is the number of co-occurrences. For co-authorship, two authors are linked when they co-author a document. Layout uses association-strength normalization and clusters are detected with the Louvain algorithm.

Is my data uploaded anywhere?

No. Parsing, network construction, layout, clustering and rendering all run locally in your browser. If you use the optional AI features, only aggregated cluster terms (never your raw file) are sent to our AI service to generate the insight.

How do the AI features work?

They are built in — no account or API key needed. The Viewer sends only the top terms of each cluster and summary statistics (never your raw file) to DrAIStudio's AI service, which returns cluster names, a structured interpretation of the field, or candidate research gaps. A fair-use hourly limit applies.

Can I keep using other mapping software?

Yes — Biblio Infinity exports standard map and network files (.map, .net), so you can move both directions. other science-mapping software is an independent tool by CWTS, Leiden University; Biblio Infinity is not affiliated with or endorsed by it.

The AI drafts inclusion/exclusion criteria from your topic; screening runs in your browser — your records never leave it.
AI analysis plan your research questions → the right analyses, in order
✨ AI reading of this corpus
Annual scientific production
Theory & measurement finder the theories that frame this field + validated scales to study it — via TheoryLens & Scale Atlas
Research Opportunity Radar gap heatmap · variable gaps · method/context bias · novel model builder
Load a corpus to identify under-explored combinations and next-study models.
Research Intelligence Lab topic lifecycle · citation velocity · review readiness · theory-method-context map
Load a corpus to classify research maturity and publication opportunities.
Journal Fit Matcher target source ranking · manuscript fit · journal positioning
Load a corpus to rank target journals and sources for your manuscript.
Policy & SDG Relevance Mapper sustainable-development goals · policy audiences · implication framing
Load a corpus to connect themes with SDGs and policy audiences.
Top sources
Top authors
Top keywords
Countries from affiliation text
Most cited documents
Continue to the interactive co-occurrence map of this corpus — clustered, AI-labeled, exportable.
Scroll to zoom · drag to pan · hover/click items
Clusters
—
Export figure
Tip: White + 4× PNG or SVG is what most journals ask for.
Network-level metrics
Path-based metrics are computed on the largest connected component (BFS, sampled for large graphs). Report alongside modularity Q and silhouette from the Data panel.
Keyboard shortcuts
Ctrl/⌘ + KCommand palette
S / MStatistics / Science map
1–5Network · Overlay · Density · Timeline · Historiograph
FFit map to view
EExport figure
TToggle light / dark theme
?This cheat-sheet
EscClose dialogs · clear selection
Thematic map — expand & edit
Untick a theme to exclude it from the figure (quadrant medians recompute). Renames apply across the whole app — science-map bubbles, legend, treemap and reports.
Fields plot — expanded
Larger top-N view of the current column setup. Hover a ribbon for exact counts.
Settings
Built in — no API key or account needed. The ✨ AI tab names clusters, interprets the map, and suggests research gaps using DrAIStudio's AI service. A fair-use hourly limit applies.
Build network from Scopus export
—
or type any value (no limit)
Biblio Infinity — quick guide

Getting data in. Export from Scopus (CSV with citations + keywords), Web of Science (plain text or tab-delimited), or any RIS source, then drop the file here — or open standard map/network/JSON files directly.

Statistics. Bibliographic exports open on the 📊 Statistics tab: production trend, citations, corpus h-index, top sources/authors/keywords/countries and most-cited documents — with an AI reading one click away and CSV export.

Views. Network colors items by cluster. Overlay colors by a score such as average publication year (yellow = recent). Density shows where the literature concentrates.

Reading the map. Item size = occurrences (weight). Distance ≈ relatedness. Links = strongest co-occurrence ties. Use the resolution slider and Re-cluster to get coarser or finer themes.

AI insights. Open the ✨ AI tab and click an action: name clusters, interpret the structure, surface gaps — built in, no key needed. Treat output as a draft reading — verify before citing.

Markers & metrics. A purple ring marks pivotal points (betweenness centrality ≥ 0.10 — candidate turning points); a red ring marks burst terms (Kleinberg). Legend chips show each cluster's silhouette; the Data panel shows modularity Q. The Timeline view lays clusters out as lanes against a year axis.

Export. PNG for slides; map/network files and JSON for interoperability with other science-mapping software and other tools; statistics as CSV.

Author
World map — production & collaboration
Evidence
Explore
Unchecked rows are excluded from every statistic, chart and the science map. Click Apply to recompute.
🧹 Clean & standardize data
Cleaning rewrites the loaded dataset and rebuilds statistics + map.
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