John J. Grefenstette

136 total papers · 13.0k total citations
85 papers, 7.4k citations indexed

About

John J. Grefenstette is a scholar working on Artificial Intelligence, Modeling and Simulation and Epidemiology. According to data from OpenAlex, John J. Grefenstette has authored 85 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 21 papers in Modeling and Simulation and 20 papers in Epidemiology. Recurrent topics in John J. Grefenstette's work include COVID-19 epidemiological studies (21 papers), Evolutionary Algorithms and Applications (20 papers) and Metaheuristic Optimization Algorithms Research (15 papers). John J. Grefenstette is often cited by papers focused on COVID-19 epidemiological studies (21 papers), Evolutionary Algorithms and Applications (20 papers) and Metaheuristic Optimization Algorithms Research (15 papers). John J. Grefenstette collaborates with scholars based in United States, Canada and United Kingdom. John J. Grefenstette's co-authors include Donald S. Burke, J. Michael Fitzpatrick, Connie Loggia Ramsey, Dirk Van Gucht, Brian J. Rosmaita, Alan C. Schultz, Anna Charlotte Schultz, Shawn T. Brown, Bruce Y. Lee and Kenneth De Jong and has published in prestigious journals such as New England Journal of Medicine, Annals of Internal Medicine and Bioinformatics.

In The Last Decade

John J. Grefenstette

81 papers receiving 6.7k citations

Hit Papers

Optimization of Control P... 1985 2026 1998 2012 1986 1985 2014 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John J. Grefenstette 3.2k 1.3k 796 708 706 85 7.4k
Stephanie Forrest 5.5k 1.7× 955 0.7× 281 0.4× 266 0.4× 829 1.2× 207 14.7k
Chris Watkins 2.7k 0.8× 585 0.4× 153 0.2× 451 0.6× 111 0.2× 33 5.5k
Ahmed A. Ewees 4.5k 1.4× 1.3k 1.0× 413 0.5× 392 0.6× 59 0.1× 152 8.5k
Geoffrey I. Webb 5.3k 1.6× 1.5k 1.1× 180 0.2× 101 0.1× 220 0.3× 252 13.9k
Sotiris Kotsiantis 4.9k 1.5× 421 0.3× 297 0.4× 90 0.1× 183 0.3× 184 11.2k
Mohammed A. A. Al‐qaness 3.1k 1.0× 766 0.6× 287 0.4× 331 0.5× 52 0.1× 173 6.9k
Aravind Srinivasan 1.1k 0.3× 1.5k 1.1× 294 0.4× 708 1.0× 688 1.0× 174 6.8k
Jon Timmis 1.8k 0.6× 560 0.4× 185 0.2× 75 0.1× 372 0.5× 220 6.4k
Simon Fong 2.8k 0.9× 437 0.3× 204 0.3× 186 0.3× 146 0.2× 428 7.0k
Andrew Moore 8.9k 2.8× 1.5k 1.1× 395 0.5× 157 0.2× 666 0.9× 161 16.8k

Countries citing papers authored by John J. Grefenstette

Since Specialization
Citations

This map shows the geographic impact of John J. Grefenstette's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John J. Grefenstette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Grefenstette more than expected).

Fields of papers citing papers by John J. Grefenstette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Grefenstette. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John J. Grefenstette. The network helps show where John J. Grefenstette may publish in the future.

Co-authorship network of co-authors of John J. Grefenstette

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Grefenstette. A scholar is included among the top collaborators of John J. Grefenstette based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John J. Grefenstette. John J. Grefenstette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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