Piotr Sułkowski

2.0k citations
41 papers · 1.1k · h-index 18

Impact in

Papers in

Piotr Sułkowski

41 papers receiving 1.1k citations

Peers

Piotr Sułkowski
Comparison fields: 5 of 72
  • Geometry and Topology 360
  • Discrete Mathematics and Combinatorics 98
  • Mathematical Physics 187
  • Nuclear and High Energy Physics 181
  • Molecular Biology 633
Replace Kenneth C. Millett with:
Kenneth C. Millett United States
J. R. Quine United States
Maria Carla Tesi Italy
Jim Hoste United States
David N. Yetter United States
Dale Rolfsen Canada
F. E. A. Johnson United Kingdom
James A. Green Italy
Hans Plesner Jakobsen Denmark
Dror Bar-Natan Canada
Piotr Sułkowski relative to Kenneth C. Millett United States Kenneth C. Millett's profile →
Citations per field
00.5×3.9×
Kenneth C. Millett · 1×
Citations per year

Countries citing papers authored by Piotr Sułkowski

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Sułkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014153
2 2009137
3 2008109
4 201870
5 200868
6 201667
7 201044
8 201237
9 201035
10 200933
11 201333
12 200929
13 201726
14 201925
15 201222
16 202122
17 201721
18 200818
19 201915
20 200815

About Piotr Sułkowski

Piotr Sułkowski is a scholar working on Geometry and Topology, Mathematical Physics, Molecular Biology, Nuclear and High Energy Physics and Discrete Mathematics and Combinatorics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (17 papers), Geometric and Algebraic Topology (13 papers), Black Holes and Theoretical Physics (11 papers), Homotopy and Cohomology in Algebraic Topology (11 papers), Advanced Combinatorial Mathematics (8 papers), Protein Structure and Dynamics (7 papers), Biochemical and Structural Characterization (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Geometry and Topology (360 citations), Discrete Mathematics and Combinatorics (98 citations), Mathematical Physics (187 citations), Nuclear and High Energy Physics (181 citations) and Molecular Biology (633 citations). Piotr Sułkowski has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Joanna I. Sułkowska, José N. Onuchic, Marek Cieplak, Piotr Szymczak, Wanda Niemyska, Eric J. Rawdon, Kenneth C. Millett, Andrzej Stasiak, Sergei Gukov and Marko Stošić. Their work appears in journals such as Journal of High Energy Physics, Nuclear Physics B, Physical review. D, Communications in Mathematical Physics and Nucleic Acids Research.

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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