Priyesh Agrawal, PhD: h-index, Total Citations, and Citation Map
Priyesh Agrawal, PhD's h-index is 6 (5 i10-index, 354+ total citations across 9+ publications) according to Google Scholar as of May 2026. Priyesh Agrawal, PhD is affiliated with Data Science and AI Institute (DSAI), John Hopkins University.
Priyesh Agrawal, PhD is a researcher affiliated with Data Science and AI Institute (DSAI), John Hopkins University, specializing in Machine Learning, AI, Data Science. Their work has been cited 354 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Priyesh Agrawal, PhD's Citation Metrics
Bibliometric impact based on 9 indexed publications.
- H-Index
- 6
- i10-Index
- 5
- Total Citations
- 354
- Citing Countries
- 7
As of May 2026.
Priyesh Agrawal, PhD has an h-index of 6 and 354 total citations across 9 publications, with research cited by institutions in 7 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Priyesh Agrawal, PhD's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
RiPPMiner: a bioinformatics resource for deciphering chemical structures of RiPPs based on prediction of cleavage and cross-links
2017191
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
192 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed RiPPMiner, a bioinformatics framework for predicting RiPP chemical structures, later expanding it to genome-scale analysis and machine learning for macrocyclization patterns.
The researcher established a standardized framework for interlaboratory comparison of Pseudomonas aeruginosa phage susceptibility testing, addressing critical reproducibility gaps in antimicrobial phage research.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
