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Explore SciNodes

Everything a review needs, in one workspace.

Build a corpus, map it, read it and ask about it. Every feature sits where the evidence is, so nothing has to be exported, pasted or re-found.

Get startedSee pricing
Fig. 00 — Co-authorship

01 Build your corpus

Bring in the publications that matter, whichever way suits you.

Start a project and build its corpus in minutes. Every publication is enriched automatically with open metadata from OpenAlex, Crossref and ROR.

  • DiscoverSearch a scholarly catalogue of millions of works and pick what you need.
  • SuggestDescribe your research focus in plain language; SciNodes plans the searches and merges the results into one list to review.
  • ImportUpload exports from Scopus, Web of Science, PubMed, Dimensions, Lens and others: RIS, BibTeX, NBIB, EndNote, CIW, CSV/TSV and Excel.
  • Add by handPaste a DOI and the metadata fills itself in.
  • Expand laterRe-run a saved search for works you don't have yet, or follow a publication's references and citers.
  • Discovercatalogue · millions of works
  • Suggest“urban green space and adolescent mental health”
  • ImportScopus · Web of Science · PubMed · Dimensions · Lens
  • Add by hand10.1002/asi.4630240406
RISBibTeXNBIBENWCIWCSVTSVXLSX

enriched with OpenAlex · Crossref · ROR

Fig. 01 — Four ways into a corpus

02 Map your field

Turn a corpus into maps that reveal its structure.

Five interactive network maps, clustered and weighted automatically. Large maps stream in progressively, so you can start exploring before the layout finishes.

  • Ask a question, get a mapType a research question and SciNodes picks the right map and settings from a library of more than 120 expert-designed questions.
  • Focus on what mattersNarrow any map to a year range, document type, venue, author, open-access status or minimum citations, or describe the subset in a sentence.
  • Centrality built inDegree, betweenness, closeness and eigenvector measures weight every map.
  • Empty map? We tell you whyIf a map has nothing to show, SciNodes explains the reason and, when it can help, offers to fetch the missing data.
degreebetweennessclosenesseigenvector
year rangedocument typevenueauthoropen-access statusminimum citations
Fig. 02 — Term co-occurrence

03 Read, annotate, take notes

Read the papers where the maps are.

A built-in PDF reader with highlights and comments, and notes that stay linked to the maps, nodes and publications they are about.

  • Fetch PDFsFrom openly accessible sources in one click, or upload your own.
  • Smarter PDFConverts a paper into clean, readable text.
  • Notes and quick notesOrganised into folders and linked to the maps, nodes and publications they are about.
  • Term explanationsSelect an unfamiliar term for a plain-language definition in 20 languages, including English, Spanish, Arabic, Chinese, Japanese, French, Hindi, Bengali and Tamil.

Notes · 3

p. 4 · highlightCoupling strength is symmetric; co-citation is not. Check against Small (1973).
term · explainedeigenvector centrality — a node is important if its neighbours are important.
Fig. 03 — Reader with linked notes

04 Ask your research assistant

An assistant that answers with your project in view.

Attach a map, a cluster, a node, a publication or your own file to a conversation. The assistant reads what you attached, including the full text of your PDFs and your own notes and highlights.

  • Four assistants, one accountAtlas (Expert), Sage (Superior, default), Vega (Standard) and Nova (Budget). Choose the one that fits the task.
  • Knows what you are askingAsk about a map, about research practice, or about SciNodes itself; the assistant recognises the kind of question and answers accordingly.
  • A weekly allowance on every planAssistant, question routing, term explanations, translations and PDF conversion, reset every week.
AtlasSageVegaNova
publication · Small 1973 · full text · 2 highlights

What does this paper assume about citation motivation?

It treats co-citation as evidence of a shared subject, without modelling why authors cite. Your highlight on p. 4 notes the same gap.

Fig. 04 — A conversation with a cluster attached

05 Keep track of what matters

Built for research groups, not just researchers.

Share projects with roles for each member, bookmark the authors and venues you keep returning to, and let SciNodes surface what your team engages with most.

  • Bookmark listsSave authors and venues by hand, or automatically as you write notes about them or ask the assistant.
  • Relevance and recencySciNodes learns which publications your team engages with most and surfaces them first.
  • Roles per memberShare projects with collaborators, with a role for each.
  • Recycle binDeleted something by mistake? Projects go to a recycle bin first.

Members

  • H. NakamuraOwner
  • A. OkaforEditor
  • E. LindqvistViewer

Bookmarks

  • Scientometrics venue
  • L. Leydesdorff author
  • JASIST venue
Fig. 05 — A shared project

Create your first project.

Or explore the literature right now, no sign-up needed, on SciVerse.

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