Michał Kapałka

1.5k total citations
24 papers, 770 citations indexed

About

Michał Kapałka is a scholar working on Computer Networks and Communications, Experimental and Cognitive Psychology and Hardware and Architecture. According to data from OpenAlex, Michał Kapałka has authored 24 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 13 papers in Experimental and Cognitive Psychology and 11 papers in Hardware and Architecture. Recurrent topics in Michał Kapałka's work include Distributed systems and fault tolerance (17 papers), Cognitive Functions and Memory (13 papers) and Parallel Computing and Optimization Techniques (10 papers). Michał Kapałka is often cited by papers focused on Distributed systems and fault tolerance (17 papers), Cognitive Functions and Memory (13 papers) and Parallel Computing and Optimization Techniques (10 papers). Michał Kapałka collaborates with scholars based in Switzerland, Poland and United States. Michał Kapałka's co-authors include Rachid Guerraoui, Aleksandar Dragojević, Jan Vítek, Maurice Herlihy, Bastian Pochon, Petr Kouznetsov, Paulo Ferreira, Thomas A. Henzinger, Vasu Singh and Roland Fiszer and has published in prestigious journals such as Frontiers in Oncology, ACM SIGPLAN Notices and ACM SIGOPS Operating Systems Review.

In The Last Decade

Michał Kapałka

18 papers receiving 697 citations

Peers

Michał Kapałka
Comparison fields: 5 of 28
  • Computer Networks and Communications 747
  • Hardware and Architecture 432
  • Experimental and Cognitive Psychology 316
  • Artificial Intelligence 86
  • Information Systems 47
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Citations per field, relative to Michał Kapałka
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Citations per year, relative to Michał Kapałka
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Countries citing papers authored by Michał Kapałka

Since Specialization
Citations

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

Fields of papers citing papers by Michał Kapałka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Kapałka

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Kapałka. A scholar is included among the top collaborators of Michał Kapałka 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 Michał Kapałka. Michał Kapałka 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 0
3 0
4
Symulacyjne wsparcie systemów kierowania ruchem pieszych w obiektach publicznych
1
5 19
6 8
7 4
8
The fine-coarse network model for simulating crowd behavior
0
9 13
10 10
11 28
12 108
13
Dividing Transactional Memories by Zero
24
14 243
15 29
16 122
17 20
18
Opacity: A Correctness Condition for Transactional Memory
8
19 30
20
Robust Contention Management in Software Transactional Memory
34

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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