Marcin Bieńkowski

771 citations
46 papers · 290 · h-index 9

Impact in

Papers in

Marcin Bieńkowski

41 papers receiving 279 citations

Peers

Marcin Bieńkowski
Comparison fields: 5 of 39
  • Computer Networks and Communications 241
  • Computational Theory and Mathematics 61
  • Hardware and Architecture 25
  • Information Systems 42
  • Industrial and Manufacturing Engineering 13
Replace Johanne Cohen with:
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Antonio De Rosa United States
Ajoy K. Datta United States
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Marcin Bieńkowski relative to Johanne Cohen France Johanne Cohen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marcin Bieńkowski

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Bieńkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200362
2 201028
3 201422
4 201121
5 199612
6 201712
7 201410
8 20098
9 20118
10 20188
11 20148
12 20187
13 20117
14 19996
15 20106
16 20215
17 20035
18 20205
19 20114
20 20144

About Marcin Bieńkowski

Marcin Bieńkowski is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering, Artificial Intelligence and Management Information Systems, having authored 46 papers that have together received 290 indexed citations. Recurring topics across this work include Optimization and Search Problems (31 papers), Caching and Content Delivery (15 papers), Distributed systems and fault tolerance (14 papers), Complexity and Algorithms in Graphs (10 papers), Software-Defined Networks and 5G (7 papers), Auction Theory and Applications (3 papers), Peer-to-Peer Network Technologies (3 papers) and Advanced Graph Theory Research (3 papers). The work is most often cited by research in Computer Networks and Communications (241 citations), Computational Theory and Mathematics (61 citations), Hardware and Architecture (25 citations), Information Systems (42 citations) and Industrial and Manufacturing Engineering (13 citations). Marcin Bieńkowski has collaborated with scholars based in Poland, Germany and United Kingdom. Frequent co-authors include Stefan Schmid, Harald Räcke, Anja Feldmann, Gregor Schaffrath, Marek Chrobák, Nadi Sarrar, Steve Uhlig, Dariusz R. Kowalski, Dan Jurca and Joerg Widmer. Their work appears in journals such as Theoretical Computer Science, Algorithmica, IEEE/ACM Transactions on Networking, Thin Solid Films and ACM Transactions on Algorithms.

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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