Witold Kinsner

3.9k citations
295 papers · 2.4k · h-index 24

Impact in

Papers in

Witold Kinsner

275 papers receiving 2.3k citations

Peers

Witold Kinsner
Comparison fields: 5 of 128
  • Artificial Intelligence 1.2k
  • Signal Processing 374
  • Computer Vision and Pattern Recognition 534
  • Computational Theory and Mathematics 302
  • Control and Systems Engineering 417
Replace Michael Georgiopoulos with:
Michael Georgiopoulos United States
Eric B. Baum United States
Nicol N. Schraudolph Switzerland
Sushil J. Louis United States
Barnabás Póczos United States
Robert F. Sproull United States
Kaoru Hirota Japan
Moshe Kam United States
Peter Cheeseman United States
M. N. S. Swamy Canada
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Citations per field
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Michael Georgiopoulos · 1×
Citations per year

Countries citing papers authored by Witold Kinsner

Since Specialization
Citations

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

Fields of papers citing papers by Witold Kinsner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 295 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009107
2 200285
3 200280
4 200278
5 200666
6 200965
7 200363
8 201060
9 200654
10 200552
11 200751
12 201147
13 202045
14 201645
15 200744
16 201041
17 201133
18 201932
19 200230
20 200228

About Witold Kinsner

Witold Kinsner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Statistical and Nonlinear Physics and Molecular Biology, having authored 295 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (48 papers), Image and Signal Denoising Methods (38 papers), Complex Systems and Time Series Analysis (37 papers), Fractal and DNA sequence analysis (37 papers), Chaos control and synchronization (37 papers), Cognitive Computing and Networks (31 papers), Blind Source Separation Techniques (30 papers) and Advanced Data Compression Techniques (19 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Signal Processing (374 citations), Computer Vision and Pattern Recognition (534 citations), Computational Theory and Mathematics (302 citations) and Control and Systems Engineering (417 citations). Witold Kinsner has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Yingxu Wang, Du Zhang, Ken Ferens, Bin Huang, Donita Massengill Shaw, Armein Z. R. Langi, Nariman Sepehri, Joseph J. Pear, Murray Potter and Fan Mo. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Access and Mathematical and Computer Modelling.

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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