Marcin Korytkowski

1.3k citations
49 papers · 543 · h-index 13

Impact in

Papers in

Marcin Korytkowski

46 papers receiving 522 citations

Peers

Marcin Korytkowski
Comparison fields: 5 of 105
  • Signal Processing 97
  • Artificial Intelligence 247
  • Computer Vision and Pattern Recognition 127
  • Information Systems 133
  • Computer Networks and Communications 75
Replace Chung-Chian Hsu with:
Chung-Chian Hsu Taiwan
Chin Soon Ku Malaysia
Jafar Tanha Iran
Jiachen Liu China
Sona Taheri Australia
Chih‐Hung Wu Taiwan
Yevgeniy Bodyanskiy Ukraine
Faliang Huang China
Marcin Korytkowski relative to Chung-Chian Hsu Taiwan Chung-Chian Hsu's profile →
Citations per field
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Chung-Chian Hsu · 1×
Citations per year

Countries citing papers authored by Marcin Korytkowski

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Korytkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Marcin Korytkowski, 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 Korytkowski Line = papers co-authored together Marcin Korytkowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 201575
3 201345
4 202032
5 201922
6 201620
7 201520
8 201419
9 201716
10 200615
11 202012
12 201912
13 201812
14 201210
15 20088
16 20217
17 20147
18 20157
19 20197
20 20166

About Marcin Korytkowski

Marcin Korytkowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 49 papers that have together received 543 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Fuzzy Logic and Control Systems (9 papers), Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Rough Sets and Fuzzy Logic (7 papers), Data Mining Algorithms and Applications (4 papers), Network Security and Intrusion Detection (4 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Signal Processing (97 citations), Artificial Intelligence (247 citations), Computer Vision and Pattern Recognition (127 citations), Information Systems (133 citations) and Computer Networks and Communications (75 citations). Marcin Korytkowski has collaborated with scholars based in Poland, United States and Canada. Frequent co-authors include Rafał Scherer, Leszek Rutkowski, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Żurada, Marcin Woźniak, Wei Wei, Qiao Ke, Jacek M. Zurada and Witold Pedrycz. Their work appears in journals such as Lecture notes in computer science, Journal of Artificial Intelligence and Soft Computing Research, Information Sciences, Integrated Computer-Aided Engineering and Symmetry.

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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