Jai Ram Rideout Google Scholar: h-index, Total Citations, and Citation Map
Jai Ram Rideout's h-index is 26 (34 i10-index, 36,744+ total citations across 47+ publications) according to Google Scholar as of October 2026. Jai Ram Rideout is affiliated with One Codex.
Jai Ram Rideout is a researcher affiliated with One Codex, specializing in Bioinformatics, Microbiome, Computer Science. Their work has been cited 36,744 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jai Ram Rideout's Citation Metrics
Bibliometric impact based on 47 indexed publications.
- H-Index
- 26
- i10-Index
- 34
- Total Citations
- 36,744
- Citing Countries
- 19
As of October 2026.
Jai Ram Rideout has an h-index of 26 and 36,744 total citations across 47 publications, with research cited by institutions in 19 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Jai Ram Rideout'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.
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
201924,356
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.
The researcher developed and standardized reproducible, scalable workflows for microbiome data science, significantly advancing taxonomic classification accuracy and computational reproducibility in the field.
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.
About Jai Ram Rideout's research
Jai Ram Rideout is a researcher in Bioinformatics, Microbiome and Computer Science at One Codex. Their work has been cited 36,744 times across 47 publications (h-index 26), according to Google Scholar.
Their most-cited work, “Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2” (2019), has accumulated 24,356 citations. Other influential work includes “Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin” (2018) with 6,084 citations.
Citations of Jai Ram Rideout's research come primarily from United States, China and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
