Witold Kinsner

3.6k citations
309 papers · 2.7k · h-index 24

Impact in

Papers in

Witold Kinsner

288 papers receiving 2.5k citations

Peers

Witold Kinsner
Comparison fields: 5 of 134
  • Artificial Intelligence 1.3k
  • Signal Processing 419
  • Computer Vision and Pattern Recognition 571
  • Control and Systems Engineering 441
  • Computational Theory and Mathematics 318
Replace Michael Georgiopoulos with:
Michael Georgiopoulos United States
Eric B. Baum United States
Sushil J. Louis United States
David A. Cohn United States
Nicol N. Schraudolph Switzerland
Jyrki Kivinen Finland
Ali Rahimi United States
James Francis Peters Canada
Chunlin Chen China
Moshe Kam United States
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Citations per field
00.5×1.5×1.8×
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 309 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009119
2 200290
3 200285
4 200281
5 200976
6 201069
7 200364
8 200758
9 200658
10 200556
11 201655
12 201154
13 200751
14 201050
15 202047
16 201140
17 200233
18 201932
19 200232
20 198830

About Witold Kinsner

Witold Kinsner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 309 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (53 papers), Image and Signal Denoising Methods (39 papers), Fractal and DNA sequence analysis (39 papers), Chaos control and synchronization (38 papers), Complex Systems and Time Series Analysis (37 papers), Cognitive Computing and Networks (34 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 (1.3k citations), Signal Processing (419 citations), Computer Vision and Pattern Recognition (571 citations), Control and Systems Engineering (441 citations) and Computational Theory and Mathematics (318 citations). Witold Kinsner has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Yingxu Wang, Du Zhang, Ken Ferens, Bin Huang, Donita Massengill Shaw, Joseph J. Pear, Armein Z. R. Langi, Nariman Sepehri, Murray Potter and Fan Mo. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Access, IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Education 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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