Maciej Mączyński

34 papers receiving 364 citations

Peers

Maciej Mączyński
Comparison fields: 5 of 31
  • Computational Theory and Mathematics 226
  • Algebra and Number Theory 36
  • Atomic and Molecular Physics, and Optics 217
  • History and Philosophy of Science 32
  • Artificial Intelligence 189
Replace S. Bugajski with:
S. Bugajski Poland
Alexander Wilce United States
Stan Gudder United States
Shûichirô Maeda Japan
Gary M. Hardegree United States
Jarosław Pykacz Poland
Claudio Garola Italy
Fumitomo Maeda Japan
Carlos Palazuelos Spain
Jan Hamhalter Czechia
Maciej Mączyński relative to S. Bugajski Poland S. Bugajski's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maciej Mączyński

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Mączyński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Maciej Mączyński, 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 Maciej Mączyński Line = papers co-authored together Maciej Mączyński links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199148
2 197331
3 199326
4 197123
5 197222
6 199521
7 198721
8 197421
9 199716
10 199814
11 199413
12 200012
13 199912
14 197310
15 197310
16 200110
17 19949
18 19928
19
Ring-like structures corresponding to generalized orthomodular lattices
20047
20 19737

About Maciej Mączyński

Maciej Mączyński is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology, having authored 36 papers that have together received 394 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (15 papers), Quantum Mechanics and Applications (14 papers), Quantum Information and Cryptography (6 papers), Logic, Reasoning, and Knowledge (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Computability, Logic, AI Algorithms (3 papers), Quantum Computing Algorithms and Architecture (3 papers) and Statistical Mechanics and Entropy (3 papers). The work is most often cited by research in Computational Theory and Mathematics (226 citations), Algebra and Number Theory (36 citations), Atomic and Molecular Physics, and Optics (217 citations), History and Philosophy of Science (32 citations) and Artificial Intelligence (189 citations). Maciej Mączyński has collaborated with scholars based in Poland, Italy and Austria. Frequent co-authors include Enrico G. Beltrametti, Pekka Lahti, Helmut Länger, Peter Burmeister, Kari Ylinen and Ivan Chajda. Their work appears in journals such as Studia Mathematica, Journal of Mathematical Physics, International Journal of Theoretical Physics, Demonstratio Mathematica and Colloquium Mathematicum.

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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