Leon Bobrowski

608 citations
26 papers · 248 · h-index 8

Impact in

Papers in

Leon Bobrowski

23 papers receiving 233 citations

Peers

Leon Bobrowski
Comparison fields: 5 of 71
  • Artificial Intelligence 142
  • Statistics and Probability 32
  • Signal Processing 41
  • Computer Vision and Pattern Recognition 77
  • Nephrology 19
Replace Yasser El-Sonbaty with:
Yasser El-Sonbaty Egypt
Marthinus Christoffel du Plessis Japan
Heiko Timm Germany
Sam Yuan Sung Singapore
Hanpin Wang China
Wen Wen China
Yukihiro Hamasuna Japan
Ahlame Douzal-Chouakria France
Fei Zheng China
Manish Sarkar United States
Leon Bobrowski relative to Yasser El-Sonbaty Egypt Yasser El-Sonbaty's profile →
Citations per field
00.5×9.5×
Yasser El-Sonbaty · 1×
Citations per year

Countries citing papers authored by Leon Bobrowski

Since Specialization
Citations

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

Fields of papers citing papers by Leon Bobrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leon Bobrowski, 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 Leon Bobrowski Line = papers co-authored together Leon Bobrowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991119
2 199116
3 198415
4 201911
5 199511
6
Feature Selection Based on Relaxed Linear Separability
200910
7 200310
8 19789
9 20167
10 19867
11 20145
12 20075
13 19804
14 19963
15 19823
16 19843
17 20122
18 20062
19 20012
20
Short term prediction of stock index changes based on linear classification
20101

About Leon Bobrowski

Leon Bobrowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Food Science, Computer Networks and Communications and Statistics and Probability, having authored 26 papers that have together received 248 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Advanced Scientific Research Methods (3 papers), Face and Expression Recognition (2 papers), Parathyroid Disorders and Treatments (2 papers), Statistical and Computational Modeling (2 papers), Advanced Statistical Modeling Techniques (2 papers), Fuzzy Logic and Control Systems (2 papers) and Biomarkers in Disease Mechanisms (2 papers). The work is most often cited by research in Artificial Intelligence (142 citations), Statistics and Probability (32 citations), Signal Processing (41 citations), Computer Vision and Pattern Recognition (77 citations) and Nephrology (19 citations). Leon Bobrowski has collaborated with scholars based in Poland, Sweden and United States. Frequent co-authors include James C. Bezdek, Jack Sklansky, Jacek Waniewski, Abdul Rashid Qureshi, Hanna Wasyluk, Bengt Lindholm, Peter Stenvinkel, Małgorzata Dębowska, E. R. Caianiello and Lars Wennberg. Their work appears in journals such as Pattern Recognition, Biological Cybernetics, Scientific Reports, Pattern Analysis and Applications and Methods of Information in Medicine.

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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