Stephen Forrest

516 total citations
6 papers, 258 citations indexed

About

Stephen Forrest is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Genetics. According to data from OpenAlex, Stephen Forrest has authored 6 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 2 papers in Artificial Intelligence and 2 papers in Genetics. Recurrent topics in Stephen Forrest's work include Yersinia bacterium, plague, ectoparasites research (2 papers), Logic, programming, and type systems (2 papers) and Systems Engineering Methodologies and Applications (1 paper). Stephen Forrest is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (2 papers), Logic, programming, and type systems (2 papers) and Systems Engineering Methodologies and Applications (1 paper). Stephen Forrest collaborates with scholars based in United States, Canada and United Kingdom. Stephen Forrest's co-authors include David J. D. Earn, Hendrik N. Poinar, Kirsten I. Bos, Brian K. Coombes, Alissa Mittnik, Verena J. Schuenemann, Johannes Krause, Sarah E. Schmedes, William E. White and Sharon N. DeWitte and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Procedia Computer Science.

In The Last Decade

Stephen Forrest

5 papers receiving 248 citations

Peers

Stephen Forrest
Comparison fields: 5 of 65
  • Genetics 166
  • Molecular Biology 87
  • Endocrinology 58
  • Public Health, Environmental and Occupational Health 51
  • Archeology 37
Replace David M. Bland with:
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David M. Bland United States View profile →
Citations per field, relative to Stephen Forrest
Stephen Forrest · 1×
Citations per year, relative to Stephen Forrest
Stephen Forrest · 1×

Countries citing papers authored by Stephen Forrest

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Forrest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Forrest. 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 Stephen Forrest. The network helps show where Stephen Forrest may publish in the future.

Co-authorship network of co-authors of Stephen Forrest

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Forrest. A scholar is included among the top collaborators of Stephen Forrest 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 Stephen Forrest. Stephen Forrest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1
0
2
Integration of SMT-LIB Support into Maple.
2
3 105
4 4
5 145
6
Mining Maple Code for Contracts
2

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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