Piotr Pokarowski

1.7k total citations · 1 hit paper
21 papers, 1.2k citations indexed

About

Piotr Pokarowski is a scholar working on Molecular Biology, Statistics and Probability and Materials Chemistry. According to data from OpenAlex, Piotr Pokarowski has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Statistics and Probability and 7 papers in Materials Chemistry. Recurrent topics in Piotr Pokarowski's work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (7 papers) and Markov Chains and Monte Carlo Methods (6 papers). Piotr Pokarowski is often cited by papers focused on Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (7 papers) and Markov Chains and Monte Carlo Methods (6 papers). Piotr Pokarowski collaborates with scholars based in Poland, United States and Japan. Piotr Pokarowski's 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 and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and The Science of The Total Environment.

In The Last Decade

Piotr Pokarowski

20 papers receiving 1.1k citations

Hit Papers

AAindex: amino acid index database, progress report 2008 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Piotr Pokarowski Poland 10 1.0k 161 141 85 61 21 1.2k
Tod D. Romo United States 17 1.2k 1.1× 281 1.7× 67 0.5× 135 1.6× 100 1.6× 40 1.4k
Nicholas M. Glykos Greece 18 926 0.9× 300 1.9× 103 0.7× 79 0.9× 26 0.4× 50 1.2k
Pilar Cossio Germany 20 755 0.7× 182 1.1× 126 0.9× 42 0.5× 25 0.4× 61 1.1k
Shibani Bhattacharya United States 21 1.1k 1.1× 153 1.0× 49 0.3× 74 0.9× 75 1.2× 41 1.4k
Julia Koehler Leman United States 16 869 0.9× 168 1.0× 148 1.0× 70 0.8× 17 0.3× 25 1.1k
Jacques Chomilier France 23 1.2k 1.2× 466 2.9× 106 0.8× 92 1.1× 22 0.4× 68 1.7k
Frank Eisenmenger Germany 14 854 0.8× 402 2.5× 55 0.4× 223 2.6× 43 0.7× 20 1.1k
Christina Schindler Germany 15 676 0.7× 149 0.9× 167 1.2× 35 0.4× 15 0.2× 25 822
Martin K. Scherer Germany 3 716 0.7× 192 1.2× 118 0.8× 108 1.3× 10 0.2× 3 856
Georg Casari Germany 20 1.4k 1.4× 349 2.2× 147 1.0× 90 1.1× 33 0.5× 24 1.9k

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 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

20 of 20 papers shown
1.
Mętrak, Monika, et al.. (2020). Plant response to N availability in permafrost-affected alpine wetlands in arid and semi-arid climate zones. The Science of The Total Environment. 721. 137791–137791. 9 indexed citations
2.
Pokarowski, Piotr & Jan Mielniczuk. (2013). Combined l_1 and greedy l_0 penalized least squares for linear model selection. Journal of Machine Learning Research. 16(1). 961–992. 4 indexed citations
3.
Gajek, Lesław, et al.. (2012). Optimal Monte Carlo integration with fixed relative precision. Journal of Complexity. 29(1). 4–26. 4 indexed citations
4.
Mieczkowski, Jakub, Magdalena E. Tyburczy, Michał Dąbrowski, & Piotr Pokarowski. (2010). Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements. BMC Bioinformatics. 11(1). 104–104. 29 indexed citations
5.
Tyburczy, Magdalena E., Katarzyna Kotulska, Piotr Pokarowski, et al.. (2010). Novel Proteins Regulated by mTOR in Subependymal Giant Cell Astrocytomas of Patients with Tuberous Sclerosis Complex and New Therapeutic Implications. American Journal Of Pathology. 176(4). 1878–1890. 61 indexed citations
6.
Pokarowski, Piotr, et al.. (2009). Fixed Precision MCMC Estimation by Median of Products of Averages. Journal of Applied Probability. 46(2). 309–329. 9 indexed citations
7.
Kloczkowski, Andrzej, Robert L. Jernigan, Zhijun Wu, et al.. (2009). Distance matrix-based approach to protein structure prediction. Journal of Structural and Functional Genomics. 10(1). 67–81. 37 indexed citations
8.
Pokarowski, Piotr, et al.. (2009). Fixed Precision MCMC Estimation by Median of Products of Averages. Journal of Applied Probability. 46(2). 309–329. 5 indexed citations
9.
Gambin, Anna, et al.. (2008). Aggregation Algorithms for Perturbed Markov Chains with Applications to Networks Modeling. SIAM Journal on Scientific Computing. 31(1). 45–73.
10.
Pokarowski, Piotr, et al.. (2007). Ideal amino acid exchange forms for approximating substitution matrices. Proteins Structure Function and Bioinformatics. 69(2). 379–393. 11 indexed citations
11.
Kawashima, Shuichi, et al.. (2007). AAindex: amino acid index database, progress report 2008. Nucleic Acids Research. 36(Database). D202–D205. 822 indexed citations breakdown →
12.
Pokarowski, Piotr, et al.. (2005). A minimal proteinlike lattice model: An alpha-helix motif. The Journal of Chemical Physics. 122(21). 214915–214915. 9 indexed citations
13.
Pokarowski, Piotr, et al.. (2005). Inferring ideal amino acid interaction forms from statistical protein contact potentials. Proteins Structure Function and Bioinformatics. 59(1). 49–57. 60 indexed citations
14.
Koliński, Andrzej, Dominik Gront, Piotr Pokarowski, & Jeffrey Skolnick. (2003). A simple lattice model that exhibits a protein‐like cooperative all‐or‐none folding transition. Biopolymers. 69(3). 399–405. 15 indexed citations
15.
Pokarowski, Piotr, Andrzej Koliński, & Jeffrey Skolnick. (2003). A Minimal Physically Realistic Protein-Like Lattice Model: Designing an Energy Landscape that Ensures All-Or-None Folding to a Unique Native State. Biophysical Journal. 84(3). 1518–1526. 39 indexed citations
16.
Kierzek, Andrzej, Piotr Pokarowski, & Piotr Zielenkiewicz. (2000). Microscopic model of protein crystal growth. Biophysical Chemistry. 87(1). 43–61. 8 indexed citations
17.
Pokarowski, Piotr. (1999). Directed forests with application to algorithms related to Markov chains. Applicationes Mathematicae. 26(4). 395–414. 2 indexed citations
18.
Kierzek, Andrzej, Piotr Pokarowski, & Piotr Zielenkiewicz. (1999). Lattice simulations of protein crystal formation. Biophysical Chemistry. 77(2-3). 123–137. 10 indexed citations
19.
Pokarowski, Piotr. (1998). Uncoupling Measures and Eigenvalues of Stochastic Matrices. Journal of Applied Analysis. 4(2). 259–267. 1 indexed citations
20.
Pokarowski, Piotr, et al.. (1995). Tail Events of some Nonhomogeneous Markov Chains. The Annals of Applied Probability. 5(1). 6 indexed citations

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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