Stan Gudder

898 citations
46 papers · 470 · h-index 12

Impact in

Papers in

Stan Gudder

42 papers receiving 442 citations

Peers

Stan Gudder
Comparison fields: 5 of 32
  • Algebra and Number Theory 88
  • Computational Theory and Mathematics 272
  • Artificial Intelligence 265
  • Atomic and Molecular Physics, and Optics 198
  • Mathematical Physics 44
Replace Pavel Pták with:
Pavel Pták Czechia
Richard J. Greechie United States
Maciej Mączyński Poland
C. H. Randall United States
Anna Jenčová Slovakia
M. K. Bennett United States
Shûichirô Maeda Japan
Alexander Wilce United States
Jan Hamhalter Czechia
Zhaofang Bai China
Stan Gudder relative to Pavel Pták Czechia Pavel Pták's profile →
Citations per field
00.5×3.3×
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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200272
2 200168
3 200666
4 200128
5 200728
6 200519
7 200814
8 200514
9 200114
10 200413
11 201012
12 200712
13 201010
14
QUANTUM MEASURE and INTEGRATION THEORY
20128
15 20098
16 20057
17 20046
18 19996
19 20106
20 20105

About Stan Gudder

Stan Gudder is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 46 papers that have together received 470 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (24 papers), Advanced Algebra and Logic (23 papers), Quantum Information and Cryptography (14 papers), Logic, Reasoning, and Knowledge (13 papers), Quantum Computing Algorithms and Architecture (12 papers), Rough Sets and Fuzzy Logic (6 papers), Computability, Logic, AI Algorithms (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). The work is most often cited by research in Algebra and Number Theory (88 citations), Computational Theory and Mathematics (272 citations), Artificial Intelligence (265 citations), Atomic and Molecular Physics, and Optics (198 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, Sergey N. Filippov, Pekka Lahti and Teiko Heinosaari. Their work appears in journals such as Quantum Information Processing, Journal of Physics A Mathematical and Theoretical, Linear Algebra and its Applications, Fuzzy Sets and Systems and Proceedings 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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