Gerald E. Peterson

662 citations
21 papers · 310 · h-index 7

Impact in

Papers in

Gerald E. Peterson

18 papers receiving 231 citations

Peers

Gerald E. Peterson
Comparison fields: 5 of 55
  • Computational Theory and Mathematics 157
  • Artificial Intelligence 216
  • Software 16
  • Algebra and Number Theory 17
  • Mathematical Physics 23
Replace D. Yu. Grigor'ev with:
D. Yu. Grigor'ev Russia
Adam Strzeboński United States
Philippe Delsarte Belgium
Chin-Tzong Pang Taiwan
Vincent Loechner France
L. Csanky United States
Iraj Kalantari United States
Paul Camion France
Mark Hartmann United States
T. S. Blyth United Kingdom
Gerald E. Peterson relative to D. Yu. Grigor'ev Russia D. Yu. Grigor'ev's profile →
Citations per field
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D. Yu. Grigor'ev · 1×
Citations per year

Countries citing papers authored by Gerald E. Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Gerald E. Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald E. Peterson. 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 Gerald E. Peterson. The network helps show where Gerald E. Peterson may publish in the future.

Co-authors

The 4 scholars most cited alongside Gerald E. Peterson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerald E. Peterson Line = papers co-authored together Gerald E. Peterson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981181
2 199535
3 197524
4 199313
5 197012
6 19919
7
Tutorial, object-oriented computing
19878
8 19726
9 19764
10 19694
11 19753
12 19832
13 19692
14
Solving term inequalities
19901
15 19691
16 19831
17 20051
18 19881
19 19931
20 19721

About Gerald E. Peterson

Gerald E. Peterson is a scholar working on Artificial Intelligence, Applied Mathematics, Geometry and Topology, Computational Theory and Mathematics and Mathematical Physics, having authored 21 papers that have together received 310 indexed citations. Recurring topics across this work include Logic, programming, and type systems (5 papers), Formal Methods in Verification (3 papers), Mathematics and Applications (3 papers), Experimental Learning in Engineering (2 papers), Teaching and Learning Programming (2 papers), Advanced Topology and Set Theory (2 papers), Approximation Theory and Sequence Spaces (2 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Computational Theory and Mathematics (157 citations), Artificial Intelligence (216 citations), Software (16 citations), Algebra and Number Theory (17 citations) and Mathematical Physics (23 citations). Gerald E. Peterson has collaborated with scholars based in United States. Frequent co-authors include Mark E. Stickel, Stephen Aylward, Barbara A. Smith and James Urnes. Their work appears in journals such as Journal of the London Mathematical Society, Journal of the ACM, Pacific Journal of Mathematics, The Michigan Mathematical Journal and Transactions of the American Mathematical Society.

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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