Marek Tudruj

617 total citations
62 papers, 186 citations indexed

About

Marek Tudruj is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Marek Tudruj has authored 62 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 47 papers in Hardware and Architecture and 9 papers in Computational Theory and Mathematics. Recurrent topics in Marek Tudruj's work include Parallel Computing and Optimization Techniques (43 papers), Distributed and Parallel Computing Systems (32 papers) and Interconnection Networks and Systems (28 papers). Marek Tudruj is often cited by papers focused on Parallel Computing and Optimization Techniques (43 papers), Distributed and Parallel Computing Systems (32 papers) and Interconnection Networks and Systems (28 papers). Marek Tudruj collaborates with scholars based in Poland, France and Italy. Marek Tudruj's co-authors include Janusz Borkowski, Umberto Scafuri, Ernesto Tarantino, Ivanoe De Falco, Péter Kacsuk, Roman Wyrzykowski, Grégory Mounié and Denis Trystram and has published in prestigious journals such as Applied Soft Computing, Future Generation Computer Systems and Journal of Systems Architecture.

In The Last Decade

Marek Tudruj

54 papers receiving 180 citations

Peers

Marek Tudruj
Comparison fields: 5 of 27
  • Computer Networks and Communications 149
  • Hardware and Architecture 113
  • Information Systems 44
  • Computational Theory and Mathematics 22
  • Electrical and Electronic Engineering 17
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Citations per field, relative to Marek Tudruj
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Citations per year, relative to Marek Tudruj
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Countries citing papers authored by Marek Tudruj

Since Specialization
Citations

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

Fields of papers citing papers by Marek Tudruj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Tudruj

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Tudruj. A scholar is included among the top collaborators of Marek Tudruj 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 Marek Tudruj. Marek Tudruj 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 1
4 2
5 2
6
Scheduling Moldable Tasks for Dynamic SMP Clusters in SoC Technology
0
7 1
8 1
9 2
10 2
11 3
12 2
13 2
14 4
15 1
16 4
17 4
18 7
19 2
20
The Architecture of a Multilayer Dynamically Reconfigurable Transputer System.
0

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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