John F. Gilmore

32 papers and 186 indexed citations i.

About

John F. Gilmore is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, John F. Gilmore has authored 32 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Aerospace Engineering. Recurrent topics in John F. Gilmore’s work include AI-based Problem Solving and Planning (6 papers), Infrared Target Detection Methodologies (5 papers) and Robotic Path Planning Algorithms (4 papers). John F. Gilmore is often cited by papers focused on AI-based Problem Solving and Planning (6 papers), Infrared Target Detection Methodologies (5 papers) and Robotic Path Planning Algorithms (4 papers). John F. Gilmore collaborates with scholars based in United States, United Kingdom and Switzerland. John F. Gilmore's co-authors include Mohan M. Trivedi, Steven M. Bellovin, Bruce Schneier, Whitfield Diffie, Ross Anderson, Peter G. Neumann, Jeffrey I. Schiller, Matt Blaze, Ronald L. Rivest and Josh Benaloh and has published in prestigious journals such as Communications of the ACM, Future Generation Computer Systems and Optical Engineering.

In The Last Decade

Co-authorship network of co-authors of John F. Gilmore i

Fields of papers citing papers by John F. Gilmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John F. Gilmore

Since Specialization
Citations

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