Piotr Pokarowski

1.7k citations
21 papers · 1.2k indexed · 1 hit paper · h-index 10

Piotr Pokarowski

20 papers receiving 1.1k citations

Hit Papers

AAindex: amino acid index database, progress report 20088222007202620132019250500750

Peers

Piotr Pokarowski
Comparison fields: 5 of 110
  • Molecular Biology 1.0k
  • Microbiology 61
  • Computational Theory and Mathematics 141
  • Spectroscopy 85
  • Materials Chemistry 161
Replace Pilar Cossio with:
Pilar Cossio Germany
Frank Eisenmenger Germany
Wolfgang Rieping France
Domenico Cozzetto United Kingdom
John Ingraham United States
Rebecca F. Alford United States
Guillaume Bouvier France
Timothy R. Lezon United States
Julia Koehler Leman United States
Lothar Reich Germany
Piotr Pokarowski relative to Pilar Cossio Germany Pilar Cossio's profile →
Citations per field
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Citations per year

Countries citing papers authored by Piotr Pokarowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Piotr Pokarowski, 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 Piotr Pokarowski Line = papers co-authored together Piotr Pokarowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20209
2 20134
3 20124
4 201029
5 201061
6 20099
7 200937
8 20095
9 20080
10 200711
11
AAindex: amino acid index database, progress report 2008breakdown →
2007822
12 20059
13 200560
14 200315
15 200339
16 20008
17 19992
18 199910
19 19981
20 19956

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), Markov Chains and Monte Carlo Methods (6 papers), Statistical Methods and Inference (4 papers), Stochastic processes and statistical mechanics (3 papers), RNA and protein synthesis mechanisms (3 papers), Complex Network Analysis Techniques (2 papers) and Crystallization and Solubility Studies (2 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.

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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