John Grefenstette: h-index, Total Citations, and Citation Map
John Grefenstette's h-index is 61 (112 i10-index, 27,824+ total citations across 187+ publications) according to Google Scholar as of July 2026. John Grefenstette is affiliated with Professor of Health Policy and Management, University of Pittsburgh.
John Grefenstette is a researcher affiliated with Professor of Health Policy and Management, University of Pittsburgh, specializing in Simulation and modeling of population health, machine learning, evolutionary computation. Their work has been cited 27,824 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
John Grefenstette's Citation Metrics
Bibliometric impact based on 187 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 61
- i10-Index
- 112
- Total Citations
- 27,824
- Citing Countries
- 11
As of July 2026.
John Grefenstette has an h-index of 61 and 27,824 total citations across 187 publications, with research cited by institutions in 11 countries.
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Genetic algorithms and machine learning
19935,506
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About John Grefenstette's research
John Grefenstette is a researcher in Simulation and modeling of population health, machine learning and evolutionary computation at Professor of Health Policy and Management, University of Pittsburgh. Their work has been cited 27,824 times across 187 publications (h-index 61), according to Google Scholar.
Their most-cited work, “Genetic algorithms and machine learning” (1993), has accumulated 5,506 citations. Other influential works include “Optimization of control parameters for genetic algorithms” (1986) with 4,680 citations and “Genetic algorithms for the traveling salesman problem” (2014) with 1,428 citations.
Citations of John Grefenstette's research come primarily from United States, India 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.
