Stan Gudder

830 citations
44 papers · 459 · h-index 11

Impact in

Papers in

Stan Gudder

41 papers receiving 429 citations

Peers

Stan Gudder
Comparison fields: 5 of 31
  • Algebra and Number Theory 89
  • Computational Theory and Mathematics 267
  • Artificial Intelligence 265
  • Atomic and Molecular Physics, and Optics 192
  • Mathematical Physics 44
Replace Pavel Pták with:
Pavel Pták Czechia
Richard J. Greechie United States
Chris Heunen United Kingdom
Maciej Ma̧czyński Poland
C. H. Randall United States
M. K. Bennett United States
Anna Jenčová Slovakia
Shûichirô Maeda Japan
Alexander Wilce United States
Jan Hamhalter Czechia
Stan Gudder relative to Pavel Pták Czechia Pavel Pták's profile →
Citations per field
00.5×3.2×
Pavel Pták · 1×
Citations per year

Countries citing papers authored by Stan Gudder

Since Specialization
Citations

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

Fields of papers citing papers by Stan Gudder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Stan Gudder, 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 Stan Gudder Line = papers co-authored together Stan Gudder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200271
2 200669
3 200167
4 200729
5 200128
6 200518
7 200514
8 200114
9 200814
10 200412
11 200712
12 201010
13 20098
14 20108
15 20047
16 20057
17 19996
18 20066
19 20106
20 20205

About Stan Gudder

Stan Gudder is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Management Science and Operations Research and Statistical and Nonlinear Physics, having authored 44 papers that have together received 459 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (23 papers), Quantum Mechanics and Applications (22 papers), Logic, Reasoning, and Knowledge (13 papers), Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (12 papers), Rough Sets and Fuzzy Logic (6 papers), Computability, Logic, AI Algorithms (4 papers) and Fuzzy and Soft Set Theory (3 papers). The work is most often cited by research in Algebra and Number Theory (89 citations), Computational Theory and Mathematics (267 citations), Artificial Intelligence (265 citations), Atomic and Molecular Physics, and Optics (192 citations) and Mathematical Physics (44 citations). Stan Gudder has collaborated with scholars based in United States, Finland and Russia. Frequent co-authors include Gabriel Nagy, Richard J. Greechie, Frédéric Latrémolière, Alvaro Arias, Teiko Heinosaari, Pekka Lahti and Sergey N. Filippov. Their work appears in journals such as Journal of Physics A Mathematical and Theoretical, Fuzzy Sets and Systems, Proceedings of the American Mathematical Society, Linear Algebra and its Applications and Quantum Information Processing.

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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