Marcin Bieńkowski

771 citations
70 papers · 478 · h-index 11

Impact in

Papers in

Marcin Bieńkowski

63 papers receiving 459 citations

Peers

Marcin Bieńkowski
Comparison fields: 5 of 46
  • Computer Networks and Communications 419
  • Computational Theory and Mathematics 97
  • Hardware and Architecture 34
  • Management Science and Operations Research 36
  • Industrial and Manufacturing Engineering 26
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Johanne Cohen France
Vahid Liaghat United States
M.V. Hegde United States
Mayur Thakur United States
A. Weinrib United States
Inder S. Gopal United States
David P. Bunde United States
Daniel Fishman United States
Ganesh Venkataraman United States
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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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200372
2 200549
3 201028
4 201424
5 201122
6 199613
7 201712
8 200911
9 201411
10 201111
11 201010
12 20039
13 20188
14 20148
15 20138
16 20088
17 20128
18 20108
19 20118
20 20187

About Marcin Bieńkowski

Marcin Bieńkowski is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 70 papers that have together received 478 indexed citations. Recurring topics across this work include Optimization and Search Problems (47 papers), Caching and Content Delivery (22 papers), Distributed systems and fault tolerance (16 papers), Complexity and Algorithms in Graphs (15 papers), Software-Defined Networks and 5G (8 papers), Peer-to-Peer Network Technologies (7 papers), Network Traffic and Congestion Control (6 papers) and Auction Theory and Applications (5 papers). The work is most often cited by research in Computer Networks and Communications (419 citations), Computational Theory and Mathematics (97 citations), Hardware and Architecture (34 citations), Management Science and Operations Research (36 citations) and Industrial and Manufacturing Engineering (26 citations). Marcin Bieńkowski has collaborated with scholars based in Poland, Germany and United Kingdom. Frequent co-authors include Stefan Schmid, Harald Räcke, Friedhelm Meyer auf der Heide, Anja Feldmann, Gregor Schaffrath, Marek Chrobák, Dariusz R. Kowalski, Nadi Sarrar, Jarosław Byrka and Steve Uhlig. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, Algorithmica, IEEE/ACM Transactions on Networking and Thin Solid Films.

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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