Not how many cited you —
how they used you.
A raw citation count says nothing about influence. Citation Context Analyzer reads every citing passage and classifies how your work was actually used — substantive, background, or passing — so you can quote the strongest ones directly in your petition.
What gets classified.
Every citing passage, read and classified.
Each passage that cites your work is read in context and sorted into one of three real buckets — substantive use, background citation, or passing mention — not just counted.
An honest coverage count.
The counter shows exactly how many citing works were analyzed out of the real total — including the ones that could not be reached, like paywalled papers, instead of quietly rounding up to 100%.
A quote-ready panel, ranked by substance.
The strongest substantive-use excerpt is surfaced ready to drop straight into a petition letter, with its source attached — ranked by how it was used, not by citation count.
A citation count can't tell you if your work mattered.
A number treats every citation as equal.
A passing "see also [12]" counts the same as a paper building its entire method on your work — a raw count can't tell them apart.
Finding the strongest passage means reading everything yourself.
Without context classification, identifying which citing passages are worth quoting means manually reading dozens of papers.
Tools that claim 100% coverage are usually lying.
Some citing works are genuinely unreachable — paywalled, unindexed. A tool that hides that gap is hiding a real limitation, not solving it.
Why a chatbot can't classify citation context.
A count is not a reading — and a fabricated 100% is worse than an honest gap.
It can't read every citing passage in context.
General-purpose AI has no systematic process for locating and reading each passage that cites a specific work — it can only guess at what a citation "probably" means.
It won't admit what it couldn't reach.
Ask a chatbot for your citation coverage and it will rarely volunteer that some sources were paywalled or unreachable — it just answers as if the picture were complete.
It can't rank passages by evidentiary strength.
Surfacing the single most quote-worthy excerpt requires classifying every passage first — a chatbot has no such structured pipeline behind its answer.
Every citation, read. Every gap, disclosed.
How context gets checked.
Citing works are collected.
The papers that cite your work are found, and the ones that can be read are opened to find the sentences about your work.
Each sentence is read in context.
Methodological use, substantive engagement, listing mention or unclear, each with a short note on why.
Coverage is reported honestly.
How many citing works were found, how many could be read, and what happened to the rest.
The strongest passages, ready to use.
Those that read as more than a listing come first, each with its paper. Add any of them to your case as evidence.
CITATIONS, READ IN CONTEXT
How you were used,
not just how often.
Each citing passage it finds gets read and classified — methodological use, substantive engagement, or a listing mention. Each classification carries the exact quote it was decided from.
See how your work was actually used.
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