Jai Ram Rideout: h-index, Total Citations, and Citation Map
Jai Ram Rideout's h-index is 25 (36 i10-index, 36,744+ total citations across 2+ publications) according to Google Scholar as of July 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 2 indexed publications.
- H-Index
- 25
- i10-Index
- 36
- Total Citations
- 36,744
- Citing Countries
- 19
As of July 2026.
Jai Ram Rideout has an h-index of 25 and 36,744 total citations across 2 publications, with research cited by institutions in 19 countries.
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Global Impact Map
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Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
201924,356
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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)
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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 2 publications (h-index 25), 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, Australia and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
