Haim Schweitzer
Impact in
-
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Medical Image Segmentation Techniques
Papers in
-
- Advanced Image and Video Retrieval Techniques 12
- Image Retrieval and Classification Techniques 10
- Advanced Vision and Imaging 6
- Face and Expression Recognition 5
-
- Machine Learning and Algorithms 5
- Neural Networks and Applications 5
- Co-authors
- Guihong Wan (14 shared papers)Ke Xu (1 shared paper)Rui Deng (2 shared papers)Ke Xu (3 shared papers)Tongyi Cao (1 shared paper)Yanjun Zhang (1 shared paper)Yevgeniy R. Semenov (1 shared paper)Wei Mao (2 shared papers)
- Journals
- Data Mining and Knowledge Discovery (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Image and Vision Computing (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)International Journal of Intelligent Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Haim Schweitzer
36 papers receiving 217 citations
Peers
Comparison fields: 5 of 59
- Acoustics and Ultrasonics 8
- Computer Vision and Pattern Recognition 126
- Signal Processing 43
- Artificial Intelligence 90
- Computational Mechanics 47
Countries citing papers authored by Haim Schweitzer
This map shows the geographic impact of Haim Schweitzer'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 Haim Schweitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haim Schweitzer more than expected).
Fields of papers citing papers by Haim Schweitzer
This network shows the impact of papers produced by Haim Schweitzer. 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 Haim Schweitzer. The network helps show where Haim Schweitzer may publish in the future.
Co-authors
The 13 scholars most cited alongside Haim Schweitzer, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 36 | |
| 2 | 2010 | 17 | |
| 3 | 1995 | 17 | |
| 4 | 2019 | 16 | |
| 5 | 2004 | 16 | |
| 6 | 2015 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2014 | 9 | |
| 9 | Pass-efficient unsupervised feature selection | 2013 | 9 |
| 10 | 1999 | 8 | |
| 11 | 1997 | 7 | |
| 12 | 2003 | 7 | |
| 13 | 2018 | 6 | |
| 14 | 2009 | 5 | |
| 15 | 2009 | 5 | |
| 16 | 2002 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2021 | 3 |
About Haim Schweitzer
Haim Schweitzer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Signal Processing and Numerical Analysis, having authored 41 papers that have together received 233 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Image Retrieval and Classification Techniques (10 papers), Blind Source Separation Techniques (6 papers), Advanced Vision and Imaging (6 papers), Face and Expression Recognition (5 papers), Machine Learning and Algorithms (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (8 citations), Computer Vision and Pattern Recognition (126 citations), Signal Processing (43 citations), Artificial Intelligence (90 citations) and Computational Mechanics (47 citations). Haim Schweitzer has collaborated with scholars based in United States. Frequent co-authors include Guihong Wan, Ke Xu, Rui Deng, Ke Xu, Tongyi Cao, Yanjun Zhang, Yevgeniy R. Semenov, Wei Mao, Sanjeev R. Kulkarni and Xinglong Ju. Their work appears in journals such as Data Mining and Knowledge Discovery, IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing, IEEE Transactions on Knowledge and Data Engineering and International Journal of Intelligent 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.