Marcin Korytkowski

1.3k citations
93 papers · 1.1k · h-index 19

Impact in

Papers in

Marcin Korytkowski

83 papers receiving 1.1k citations

Peers

Marcin Korytkowski
Comparison fields: 5 of 113
  • Signal Processing 187
  • Computer Vision and Pattern Recognition 354
  • Artificial Intelligence 550
  • Information Systems 184
  • Computational Theory and Mathematics 112
Replace Jianfeng Xu with:
Jianfeng Xu China
Vipin Kumar India
Anne M. P. Canuto Brazil
Chih‐Wei Hsu United States
Malay K. Pakhira India
Marco Maggini Italy
Julio López Chile
Hangjun Che China
Liang Bai China
Zhihai Wang China
Marcin Korytkowski relative to Jianfeng Xu China Jianfeng Xu's profile →
Citations per field
00.5×11.5×
Jianfeng Xu · 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 25 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 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2015128
3 200857
4 200653
5 201346
6 202032
7 201431
8 200926
9 200826
10 201325
11 201924
12 201124
13 201424
14 201624
15 201224
16 201523
17 201922
18 201419
19 201718
20 201617

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 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (22 papers), Fuzzy Logic and Control Systems (21 papers), Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (19 papers), Rough Sets and Fuzzy Logic (11 papers), Network Security and Intrusion Detection (9 papers), Data Mining Algorithms and Applications (7 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Signal Processing (187 citations), Computer Vision and Pattern Recognition (354 citations), Artificial Intelligence (550 citations), Information Systems (184 citations) and Computational Theory and Mathematics (112 citations). Marcin Korytkowski has collaborated with scholars based in Poland, United States and Canada. Frequent co-authors include Rafał Scherer, Leszek Rutkowski, Ryszard Tadeusiewicz, Marcin Gabryel, Robert Nowicki, Lotfi A. Zadeh, Marcin Woźniak, Jacek M. Żurada, Wei Wei and Qiao Ke. Their work appears in journals such as Lecture notes in computer science, Journal of Artificial Intelligence and Soft Computing Research, Information Sciences, Computer Networks 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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