Jack Koplowitz

675 citations
34 papers · 528 · h-index 12

Impact in

Papers in

Jack Koplowitz

31 papers receiving 488 citations

Peers

Jack Koplowitz
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 284
  • Discrete Mathematics and Combinatorics 15
  • Artificial Intelligence 106
  • Computer Graphics and Computer-Aided Design 13
  • Computational Theory and Mathematics 33
Replace Vladimir Kovalevsky with:
Vladimir Kovalevsky Germany
Martine D. F. Schlag United States
Frank Rubin United States
Kiichi Urahama Japan
S.Z. Li Singapore
Rong Ge United States
G. Krishna India
Jon Dattorro United States
Patrice Bertin France
James George Dunham United States
Jack Koplowitz relative to Vladimir Kovalevsky Germany Vladimir Kovalevsky's profile →
Citations per field
00.5×1.7×
Vladimir Kovalevsky · 1×
Citations per year

Countries citing papers authored by Jack Koplowitz

Since Specialization
Citations

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

Fields of papers citing papers by Jack Koplowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Jack Koplowitz, 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 Jack Koplowitz Line = papers co-authored together Jack Koplowitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198173
2 198951
3 198147
4 199444
5 199739
6 199037
7 199133
8 199528
9 197925
10 197523
11 198715
12 197814
13 198511
14 199411
15 198510
16 198910
17 19738
18 19968
19 20136
20 19865

About Jack Koplowitz

Jack Koplowitz is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 34 papers that have together received 528 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (20 papers), Image and Object Detection Techniques (6 papers), Advanced Data Compression Techniques (5 papers), Machine Learning and Data Classification (3 papers), Computational Geometry and Mesh Generation (2 papers), Statistical Methods and Applications (2 papers), Control Systems and Identification (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (284 citations), Discrete Mathematics and Combinatorics (15 citations), Artificial Intelligence (106 citations), Computer Graphics and Computer-Aided Design (13 citations) and Computational Theory and Mathematics (33 citations). Jack Koplowitz has collaborated with scholars based in United States, Israel and Serbia. Frequent co-authors include Alfred Marcel Bruckstein, Thomas A. Brown, Michael Lindenbaum, Carson W. Taylor, A. Ivić, Richard A. Roberts, Seshadri Mohan, Andrei Broder, Ping Wah Wong and Joviša D. Žunić. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory, Pattern Recognition Letters, Pattern Recognition and IEEE Transactions on Power Systems.

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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