Michael Galarnyk: h-index, Total Citations, and Citation Map
Michael Galarnyk's h-index is 13 (13 i10-index, 1,952+ total citations across 21+ publications) according to Google Scholar as of June 2026. Michael Galarnyk is affiliated with Georgia Institute of Technology.
Michael Galarnyk is a researcher affiliated with Georgia Institute of Technology, specializing in Machine Learning, Generative AI, Finance. Their work has been cited 1,952 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Michael Galarnyk's Citation Metrics
Bibliometric impact based on 21 indexed publications.
- H-Index
- 13
- i10-Index
- 13
- Total Citations
- 1,952
- Citing Countries
- 48
As of June 2026.
Michael Galarnyk has an h-index of 13 and 1,952 total citations across 21 publications, with research cited by institutions in 48 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
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Turning erythrocytes into functional micromotors
2014328
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.
5 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Michael Galarnyk's research
Michael Galarnyk is a researcher in Machine Learning, Generative AI and Finance at Georgia Institute of Technology. Their work has been cited 1,952 times across 21 publications (h-index 13), according to Google Scholar.
Their most-cited work, “Turning erythrocytes into functional micromotors” (2014), has accumulated 328 citations. Other influential works include “Self‐propelled activated carbon janus micromotors for efficient water purification” (2015) with 323 citations and “Ultrasound‐propelled nanoporous gold wire for efficient drug loading and release” (2014) with 266 citations.
Citations of Michael Galarnyk's research come primarily from China, United States and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
