Jan Sładkowski
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
- Statistical Mechanics and Entropy
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- Quantum Mechanics and Applications
Papers in
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- Quantum Mechanics and Applications 23
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- Advanced Thermodynamics and Statistical Mechanics 8
- Co-authors
- Edward W. Piotrowski (22 shared papers)Łukasz Pawela (3 shared papers)R. Mańka (4 shared papers)Marcin Makowski (2 shared papers)Jerzy Dajka (2 shared papers)Piotr Gawron (1 shared paper)Zbigniew Puchała (1 shared paper)J. Łuczka (1 shared paper)
In The Last Decade
Jan Sładkowski
52 papers receiving 527 citations
Peers
Comparison fields: 5 of 56
- Statistical and Nonlinear Physics 205
- Atomic and Molecular Physics, and Optics 344
- Artificial Intelligence 270
- General Decision Sciences 11
- Economics and Econometrics 117
Countries citing papers authored by Jan Sładkowski
This map shows the geographic impact of Jan Sładkowski'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 Jan Sładkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Sładkowski more than expected).
Fields of papers citing papers by Jan Sładkowski
This network shows the impact of papers produced by Jan Sładkowski. 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 Jan Sładkowski. The network helps show where Jan Sładkowski may publish in the future.
Co-authors
The 10 scholars most cited alongside Jan Sładkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 122 | |
| 2 | 2008 | 38 | |
| 3 | 2003 | 33 | |
| 4 | 2004 | 29 | |
| 5 | 2012 | 26 | |
| 6 | 2013 | 26 | |
| 7 | 2003 | 21 | |
| 8 | 2005 | 19 | |
| 9 | 2016 | 18 | |
| 10 | 2004 | 18 | |
| 11 | 2003 | 15 | |
| 12 | 2003 | 14 | |
| 13 | 2001 | 12 | |
| 14 | 2005 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2010 | 11 | |
| 17 | 2004 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 1996 | 8 | |
| 20 | 2013 | 7 |
About Jan Sładkowski
Jan Sładkowski is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence, Economics and Econometrics and Nuclear and High Energy Physics, having authored 55 papers that have together received 547 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (23 papers), Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (10 papers), Complex Systems and Time Series Analysis (8 papers), Black Holes and Theoretical Physics (8 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers), Cosmology and Gravitation Theories (6 papers) and Geophysics and Gravity Measurements (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (205 citations), Atomic and Molecular Physics, and Optics (344 citations), Artificial Intelligence (270 citations), General Decision Sciences (11 citations) and Economics and Econometrics (117 citations). Jan Sładkowski has collaborated with scholars based in Poland, Germany and Italy. Frequent co-authors include Edward W. Piotrowski, Łukasz Pawela, R. Mańka, Marcin Makowski, Jerzy Dajka, Piotr Gawron, Zbigniew Puchała, J. Łuczka, H. Czyż and M. Zrałek. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physical review. C, Physics Letters B, PLoS ONE and Theoretical Computer Science.
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.