Marcin Copik

408 citations
21 papers · 171 · h-index 7

Impact in

    • Distributed and Parallel Computing Systems
    • IoT and Edge/Fog Computing
    • Distributed systems and fault tolerance
    • Advanced Data Storage Technologies
    • Software System Performance and Reliability
    • Cloud Computing and Resource Management

Papers in

Marcin Copik

16 papers receiving 169 citations

Peers

Marcin Copik
Comparison fields: 5 of 26
  • Computer Networks and Communications 125
  • Information Systems 106
  • Hardware and Architecture 31
  • Information Systems and Management 24
  • Management Information Systems 6
Replace Brian L. Tierney with:
Brian L. Tierney United States
Bill Bergeron United States
Gohar Irfan Chaudhry United States
Emmanuel Jeanvoine France
Tobias Pfandzelter Germany
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Siddharth Gupta United States
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Countries citing papers authored by Marcin Copik

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Copik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202180
2 201419
3 202313
4 201712
5 202310
6 20217
7 20207
8 20245
9 20245
10 20245
11 20242
12 20232
13 20251
14 20251
15 20251
16 20221
17 20250
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About Marcin Copik

Marcin Copik is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Hardware and Architecture and Artificial Intelligence, having authored 21 papers that have together received 171 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (6 papers), IoT and Edge/Fog Computing (4 papers), Software System Performance and Reliability (3 papers), Parallel Computing and Optimization Techniques (3 papers), Scientific Computing and Data Management (3 papers), Distributed systems and fault tolerance (3 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Computer Networks and Communications (125 citations), Information Systems (106 citations), Hardware and Architecture (31 citations), Information Systems and Management (24 citations) and Management Information Systems (6 citations). Marcin Copik has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Torsten Hoefler, Michał Podstawski, Maciej Besta, Grzegorz Kwaśniewski, Alexandru Calotoiu, Dominik Spińczyk, Hartmut Kaiser, Ian Foster, Felix Wolf and Pete Beckman. Their work appears in journals such as Computer Aided Surgery, Computing in Science & Engineering, Lecture notes in computational science and engineering, Proceedings of the VLDB Endowment and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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