Piotr Pokarowski
- Molecular Biology top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Spectroscopy top 10%
- Microbiology top 10%
- Co-authors
- Andrzej KolińskiToshiaki KatayamaMinoru KanehisaShuichi KawashimaAndrzej KloczkowskiJeffrey SkolnickRobert L. JerniganMagdalena E. Tyburczy
- Topics
- Protein Structure and Dynamics (9 papers)Enzyme Structure and Function (7 papers)Markov Chains and Monte Carlo Methods (6 papers)
- Partner nations
- PolandUnited StatesJapan
In The Last Decade
Piotr Pokarowski
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.0k
- Materials Chemistry 161
- Computational Theory and Mathematics 141
- Spectroscopy 85
- Microbiology 61
Countries citing papers authored by Piotr Pokarowski
This map shows the geographic impact of Piotr Pokarowski'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 Piotr Pokarowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Pokarowski more than expected).
Fields of papers citing papers by Piotr Pokarowski
This network shows the impact of papers produced by Piotr Pokarowski. 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 Piotr Pokarowski. The network helps show where Piotr Pokarowski may publish in the future.
Co-authorship network of co-authors of Piotr Pokarowski
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Pokarowski. A scholar is included among the top collaborators of Piotr Pokarowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Piotr Pokarowski. Piotr Pokarowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 29 | |
| 5 | 61 | |
| 6 | 9 | |
| 7 | 37 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 11 | |
| 11 | AAindex: amino acid index database, progress report 2008breakdown → | 822 |
| 12 | 9 | |
| 13 | 60 | |
| 14 | 15 | |
| 15 | 39 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 6 |
About Piotr Pokarowski
Piotr Pokarowski is a scholar working on Statistics and Probability, Mathematical Physics and Statistical and Nonlinear Physics, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (7 papers) and Markov Chains and Monte Carlo Methods (6 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Microbiology (61 citations) and Computational Theory and Mathematics (141 citations). Piotr Pokarowski has collaborated with scholars based in Poland, United States and Japan. Frequent co-authors include Andrzej Koliński, Toshiaki Katayama, Minoru Kanehisa, Shuichi Kawashima, Andrzej Kloczkowski, Jeffrey Skolnick, Robert L. Jernigan, Magdalena E. Tyburczy, Jakub Mieczkowski and Wiesława Grajkowska. Their work appears in journals such as Nucleic Acids Research, The Journal of Chemical Physics and The Science of The Total Environment.
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.