Pendar

By Pendarlabs

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Overview

Pendar answers research questions with real numbers from the published literature, not guesses. Ask about a topic, a paper, a journal, a researcher, or a reference list and get analysis in seconds. Size up any research field. How many papers exist, whether it is booming or fading, which sub-areas are growing fastest, who funds it, and what to read first. See where a paper went. Which research areas picked it up, whether industry or academia is building on it, and whether its citations are rising or have stalled. Catch fake references. Paste a bibliography and Pendar checks every entry: real or not, cited correctly, retracted or standing. It reads journal shorthand like "Phys. Rev. Lett. 103, 086001" too. If a reference cannot be confirmed, Pendar says so and never swaps in a lookalike. Pick the right journal. See which journals actually publish your topic, which are growing, and which are open access. Look up a researcher. What they work on now, how their focus has shifted, and who they publish with. Handy for finding collaborators, reviewers, and PhD advisors. Every figure is counted across the whole indexed literature, not estimated from a sample. Made for graduate students, postdocs, professors, and anyone who writes papers or proposals. Requires a Pendar account. The tools only read published research records. Each call uses credits from your Pendar balance, and new accounts start with free credits.

Tools

audit_bibliography

ChatGPT

Check a whole reference list against the published record in one call: for each reference, whether the paper exists, whether it is retracted, whether the citation's details match, or whether it cannot be confirmed. Accepts up to 25 references as written — full citations, titles, DOIs, or journal-style abbreviated references with no title. Returns a verdict per reference in the order given and a tally. A reference that cannot be confirmed is reported as not found, never replaced with a similar paper. It checks references; it does not reformat them. Costs 1 credit per started block of 5 references checked.

find_venues

ChatGPT

Find the journals and other venues that publish a research topic, ranked by how many papers on it each one carries, with whether that is growing. Each venue comes with facts: type (journal, repository, conference), publisher, ISSN, whether it is open access and listed in the open-access journal directory, its listed publication fee in US dollars, and citation statistics. Use it to see where work on a subject is published or to shortlist venues by open access or fees. It does not rank venues by prestige or predict acceptance. Pass a short noun phrase, not a question.

graph_hopper

ChatGPT

Walk the citation graph around a paper and assess its impact: who cited it, what it cited, and how those papers connect to each other. Returns whether citations are accelerating or declining (from the exact per-year history), which research fields the citing work comes from and which fields are taking a growing share of it, which kinds of institution are citing (universities, industry, hospitals, government labs), the work types and funders of the citing papers, and the authors of citing papers. The breakdowns count every citing paper, not a sample. Use this to judge whether a paper is still influential, which fields picked it up, and where it is being used now. Takes a few seconds.

profile_researcher

ChatGPT

Summarise a researcher's published work from the public publication record: the topics they publish on and which are growing, where they publish, papers and citations per year, affiliations as they appear on papers, and frequent co-authors. Accepts a name (add the institution when known), an ORCID, or an author id. When a name matches several people, returns candidates instead of guessing. Returns no contact details and does not rank or judge researchers. Takes a few seconds.

survey_literature

ChatGPT

Survey the published literature on a topic and return the shape of the field alongside the most relevant papers. Gives the exact number of papers that exist, how many were published each year and whether output is growing or fading, which sub-areas the work divides into and which of them are growing fastest, which disciplines and countries it comes from, the institutions, sectors, and funders behind it, the most prolific authors, the journals or repositories it appears in, how much is peer-reviewed versus preprints or theses, how much is uncited, and how many papers are retracted. Every count is exact over the whole corpus rather than estimated from a sample. Use it to size and characterise a research area, to judge whether a field is active before entering it, or to find papers on a subject. Pass a short noun phrase, not a question. Takes a few seconds.

verify_paper

ChatGPT

Verify that a cited paper actually exists and return its canonical metadata, DOI, and retraction status. Accepts a DOI, a Pendar paper ID, a title, a full citation string, or a journal-style abbreviated reference with no title (journal, volume, page, year). When the input is too ambiguous to resolve, returns candidates instead of guessing. Also reports the paper's citation percentile among papers from the same year, whether the record is an erratum or notice, and facts about its venue. Takes about a second.