Jack Sklansky
Impact in
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- Medical Image Segmentation Techniques
- Image and Object Detection Techniques
- Digital Image Processing Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Papers in
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- Digital Image Processing Techniques 20
- Medical Image Segmentation Techniques 20
- Face and Expression Recognition 8
- Advanced Vision and Imaging 8
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- Neural Networks and Applications 20
- Machine Learning and Data Classification 11
- Co-authors
- Wojciech Siedlecki (5 shared papers)Mineichi Kudo (2 shared papers)Dana H. Ballard (1 shared paper)Víctor M. González (1 shared paper)M. Hassner (1 shared paper)Young-Tae Park (3 shared papers)Jonathan M. Tobis (2 shared papers)Kenji Kitamura (2 shared papers)
- Journals
- Pattern Recognition (11 papers)IEEE Transactions on Medical Imaging (6 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)IEEE Transactions on Computers (4 papers)Pattern Recognition Letters (3 papers)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Jack Sklansky
117 papers receiving 4.6k citations
Jack Sklansky's Hit Papers
Peers
Comparison fields: 5 of 173
- Computer Vision and Pattern Recognition 2.4k
- Computer Graphics and Computer-Aided Design 254
- Artificial Intelligence 1.6k
- Media Technology 342
- Signal Processing 387
Countries citing papers authored by Jack Sklansky
This map shows the geographic impact of Jack Sklansky'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 Sklansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Sklansky more than expected).
Fields of papers citing papers by Jack Sklansky
This network shows the impact of papers produced by Jack Sklansky. 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 Sklansky. The network helps show where Jack Sklansky may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Sklansky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of algorithms that select features for pattern classifiers Hit paper breakdown → | 2000 | 613 |
| 2 | A note on genetic algorithms for large-scale feature selection Hit paper breakdown → | 1989 | 579 |
| 3 | 1975 | 418 | |
| 4 | 1960 | 389 | |
| 5 | 1988 | 259 | |
| 6 | 1980 | 227 | |
| 7 | 1978 | 167 | |
| 8 | 1982 | 157 | |
| 9 | 1972 | 134 | |
| 10 | 1981 | 113 | |
| 11 | 1980 | 108 | |
| 12 | 1983 | 107 | |
| 13 | 1988 | 96 | |
| 14 | 1972 | 92 | |
| 15 | 1970 | 81 | |
| 16 | 1981 | 75 | |
| 17 | 1977 | 64 | |
| 18 | 1980 | 62 | |
| 19 | 1987 | 57 | |
| 20 | 1990 | 53 |
About Jack Sklansky
Jack Sklansky is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Biophysics, having authored 124 papers that have together received 5.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (20 papers), Digital Image Processing Techniques (20 papers), Medical Image Segmentation Techniques (20 papers), Machine Learning and Data Classification (11 papers), Cell Image Analysis Techniques (10 papers), Medical Imaging Techniques and Applications (9 papers), Face and Expression Recognition (8 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Computer Graphics and Computer-Aided Design (254 citations), Artificial Intelligence (1.6k citations), Media Technology (342 citations) and Signal Processing (387 citations). Jack Sklansky has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Wojciech Siedlecki, Mineichi Kudo, Dana H. Ballard, Víctor M. González, M. Hassner, Young-Tae Park, Jonathan M. Tobis, Kenji Kitamura, Harry Wechsler and Gene H. Hostetter. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Medical Imaging, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Computers and Pattern Recognition Letters.
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.