Citation impact analysis for grant and award applications
See the real impact behind every paper.
Given a paper, CiteImpact finds the leading companies and influential researchers who cite it, reads how they cite it, and turns the evidence into a report for grant applications, award nominations, PR and personal pages.
- Citation sources
- 3 combined
- Every claim
- quoted & linked
- Report ready in
- ~5 minutes
Workflow
From one paper to a report you can use
- 1
Confirm the paper
Enter a title, DOI or arXiv ID. When titles look alike, you pick the right one.
- 2
Collect citations
Google Scholar, OpenAlex and DeepSeek Search are merged and de-duplicated; self-citations are flagged.
- 3
Read the full text
Company and high-impact papers first: 15 openly available full texts, with the exact citing sentences and how deeply each one uses your work.
- 4
Verify identities
Academicians, society Fellows, national talent awards, executives — every title must be quoted from a public page.
- 5
Review and export
You confirm the citing researchers and drop anything unwanted, and the summary is rewritten to match. Read it online or export to Word or PDF.
What's in the report
The evidence reviewers look for, in one report
Industry citations and adoption
How teams at NVIDIA, Alibaba, Meta and others use your work, plus who uses your datasets and models on Hugging Face and GitHub. Companies are identified only from author affiliations and official accounts.
Influential researchers
Academicians, IEEE / ACM / ACL Fellows, national talent awardees and executives among the citing authors, quoted from official lists or homepages, with their author position.
Citing sentences and depth
The exact sentence and section for each citation, classified as core use (training data, baseline, method), specific discussion, or passing mention.
A summary you can paste
One paragraph ordered by what reviewers value, with every name, title and number checked against the evidence.
See a real report first
ToolACE (ICLR 2025): core use by NVIDIA and Alibaba teams, code adoption by Meta and vLLM, 17 influential citing researchers.