Marek Grochowski

416 citations
22 papers · 338 · h-index 8

Impact in

Papers in

    • Neural Networks and Applications 8
    • Machine Learning and Data Classification 8
    • Machine Learning and Algorithms 5
    • Imbalanced Data Classification Techniques 3
    • Distributed and Parallel Computing Systems 7
    • Optimization and Search Problems 3
    • Mobile Agent-Based Network Management 2

Marek Grochowski

22 papers receiving 323 citations

Peers

Marek Grochowski
Comparison fields: 5 of 50
  • Artificial Intelligence 243
  • Computer Vision and Pattern Recognition 75
  • Software 11
  • Computer Networks and Communications 54
  • Information Systems 47
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Citations per field
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Citations per year

Countries citing papers authored by Marek Grochowski

Since Specialization
Citations

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

Fields of papers citing papers by Marek Grochowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Marek Grochowski, 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 Marek Grochowski Line = papers co-authored together Marek Grochowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004116
2 200475
3 200421
4 200419
5 200817
6 200716
7 202012
8 200312
9 20087
10 20097
11 20057
12 20095
13 20105
14
Instances Selection Algorithms in the Conjunction with LVQ.
20055
15 20063
16 20082
17 20112
18 20112
19 20122
20 20091

About Marek Grochowski

Marek Grochowski is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 22 papers that have together received 338 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Machine Learning and Data Classification (8 papers), Distributed and Parallel Computing Systems (7 papers), Machine Learning and Algorithms (5 papers), Optimization and Search Problems (3 papers), Imbalanced Data Classification Techniques (3 papers), Face and Expression Recognition (2 papers) and Mobile Agent-Based Network Management (2 papers). The work is most often cited by research in Artificial Intelligence (243 citations), Computer Vision and Pattern Recognition (75 citations), Software (11 citations), Computer Networks and Communications (54 citations) and Information Systems (47 citations). Marek Grochowski has collaborated with scholars based in Poland, Singapore and Azerbaijan. Frequent co-authors include Norbert Jankowski, Włodzisław Duch, Robert Schaefer, Maciej Smółka, Tomasz Maszczyk, Joanna Gorgol, Karolina Finc, Patrycja Kałamała, Adam Chuderski and Robert Schaefer. Their work appears in journals such as Lecture notes in computer science, Human Brain Mapping, Computational Intelligence, Studies in computational intelligence and INTELIGENCIA ARTIFICIAL.

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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