John M. Hitchcock

37 papers and 254 indexed citations i.

About

John M. Hitchcock is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, John M. Hitchcock has authored 37 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computational Theory and Mathematics, 22 papers in Artificial Intelligence and 7 papers in Statistics and Probability. Recurrent topics in John M. Hitchcock’s work include Computability, Logic, AI Algorithms (29 papers), Combinatorial Optimization and Complexity Theory (21 papers) and semigroups and automata theory (8 papers). John M. Hitchcock is often cited by papers focused on Computability, Logic, AI Algorithms (29 papers), Combinatorial Optimization and Complexity Theory (21 papers) and semigroups and automata theory (8 papers). John M. Hitchcock collaborates with scholars based in United States, Spain and The Netherlands. John M. Hitchcock's co-authors include Jack H. Lutz, Elvira Mayordomo, N. V. Vinodchandran, Krishna B. Athreya, A. Pavan, Harry Buhrman, Sebastiaan A. Terwijn, Dan Gutfreund, Akinori Kawachi and Lance Fortnow and has published in prestigious journals such as SIAM Journal on Computing, Journal of Computer and System Sciences and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of John M. Hitchcock i

Fields of papers citing papers by John M. Hitchcock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Hitchcock. 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 M. Hitchcock. The network helps show where John M. Hitchcock may publish in the future.

Countries citing papers authored by John M. Hitchcock

Since Specialization
Citations

This map shows the geographic impact of John M. Hitchcock'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 M. Hitchcock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Hitchcock more than expected).

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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