Paweł Gepner

730 total citations
41 papers, 357 citations indexed

About

Paweł Gepner is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Paweł Gepner has authored 41 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 23 papers in Hardware and Architecture and 8 papers in Computational Theory and Mathematics. Recurrent topics in Paweł Gepner's work include Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (12 papers) and Advanced Data Storage Technologies (10 papers). Paweł Gepner is often cited by papers focused on Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (12 papers) and Advanced Data Storage Technologies (10 papers). Paweł Gepner collaborates with scholars based in United Kingdom, Poland and United States. Paweł Gepner's co-authors include David Fraser, Michał Kłodawski, Konrad Lewczuk, Marcin Paprzycki, Krzysztof Kurowski, M. Malawski, Olympia Roeva, Stefka Fidanova, Marian Bubak and Łukasz Szustak and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Signal Processing Magazine and Energies.

In The Last Decade

Paweł Gepner

37 papers receiving 347 citations

Peers

Paweł Gepner
Comparison fields: 5 of 74
  • Computer Networks and Communications 164
  • Hardware and Architecture 142
  • Information Systems 55
  • Electrical and Electronic Engineering 49
  • Artificial Intelligence 42
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Can Özturan Türkiye
Joey Huchette United States
Franz J. Rammig Germany
Yao Dai China
Guojie Li China
Yanjun Zhang China
L. Môtus Estonia
Arnab Sarkar India
Longxin Zhang China
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Citations per field, relative to Paweł Gepner
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Citations per year, relative to Paweł Gepner
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Countries citing papers authored by Paweł Gepner

Since Specialization
Citations

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

Fields of papers citing papers by Paweł Gepner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Gepner

This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Gepner. A scholar is included among the top collaborators of Paweł Gepner 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 Paweł Gepner. Paweł Gepner 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
# Work Indexed citations
1 0
2 1
3 0
4 2
5 3
6 6
7 51
8 5
9 6
10 1
11 2
12 1
13 5
14 2
15 8
16 12
17 13
18 3
19
Parallel alternating directions algorithm for 3D Stokes equation
0
20 19

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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