S. Bugajski

36 papers receiving 389 citations

Peers

S. Bugajski
Comparison fields: 5 of 29
  • History and Philosophy of Science 62
  • Computational Theory and Mathematics 201
  • Atomic and Molecular Physics, and Optics 277
  • Statistical and Nonlinear Physics 109
  • Artificial Intelligence 211
Replace Maciej Mączyński with:
Maciej Mączyński Poland
Alexander Wilce United States
Gary M. Hardegree United States
Stan Gudder United States
Ben Toner Netherlands
Shûichirô Maeda Japan
K. -E. Hellwig Germany
Claudio Garola Italy
Samuel S. Holland United States
Héctor Freytes Italy
S. Bugajski relative to Maciej Mączyński Poland Maciej Mączyński's profile →
Citations per field
00.5×1.5×
Maciej Mączyński · 1×
Citations per year

Countries citing papers authored by S. Bugajski

Since Specialization
Citations

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

Fields of papers citing papers by S. Bugajski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199587
2 199642
3 199732
4 199926
5 199525
6 199625
7
Statistical maps. I: Basic properties
200123
8
Statistical maps. II: Operational random variables and the Bell phenomenon
200121
9 199821
10 198016
11 198513
12 199313
13 200011
14 19739
15 20008
16 19938
17
The lattice structure of quantum logics
19736
18 19816
19 20045
20 19835

About S. Bugajski

S. Bugajski is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics and History and Philosophy of Science, having authored 39 papers that have together received 439 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (23 papers), Statistical Mechanics and Entropy (10 papers), Quantum Information and Cryptography (7 papers), Advanced Algebra and Logic (7 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Quantum Computing Algorithms and Architecture (5 papers), Multi-Criteria Decision Making (4 papers) and Philosophy and History of Science (4 papers). The work is most often cited by research in History and Philosophy of Science (62 citations), Computational Theory and Mathematics (201 citations), Atomic and Molecular Physics, and Optics (277 citations), Statistical and Nonlinear Physics (109 citations) and Artificial Intelligence (211 citations). S. Bugajski has collaborated with scholars based in Poland, Italy and United States. Frequent co-authors include Enrico G. Beltrametti, Pekka Lahti, Sylvia Pulmannová, Stanley Gudder, K. -E. Hellwig, V. S. Varadarajan and Jerzy Klamka. Their work appears in journals such as Open Systems & Information Dynamics, International Journal of Theoretical Physics, Foundations of Science, Physics Letters A and Journal of Philosophical Logic.

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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