Gal Lavee
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
Papers in
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- Anomaly Detection Techniques and Applications 5
- Natural Language Processing Techniques 2
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- Human Pose and Action Recognition 5
- Video Analysis and Summarization 3
- Co-authors
- Michael Rudzsky (3 shared papers)Ehud Rivlin (3 shared papers)Bhavani Thuraisingham (3 shared papers)Latifur Khan (3 shared papers)Kira Radinsky (2 shared papers)Tomer Golany (1 shared paper)Jianping Fan (1 shared paper)Royi Ronen (1 shared paper)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (2 papers)Expert Systems with Applications (1 paper)Multimedia Tools and Applications (1 paper)IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) (1 paper)Purdue e-Pubs (Purdue University System) (1 paper)
- Partner nations
- IsraelUnited StatesIreland
In The Last Decade
Gal Lavee
12 papers receiving 277 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 209
- Artificial Intelligence 153
- Signal Processing 45
- Cardiology and Cardiovascular Medicine 39
- Human-Computer Interaction 10
Countries citing papers authored by Gal Lavee
This map shows the geographic impact of Gal Lavee'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 Gal Lavee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gal Lavee more than expected).
Fields of papers citing papers by Gal Lavee
This network shows the impact of papers produced by Gal Lavee. 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 Gal Lavee. The network helps show where Gal Lavee may publish in the future.
Co-authors
The 19 scholars most cited alongside Gal Lavee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 142 | |
| 2 | 2020 | 42 | |
| 3 | 2007 | 40 | |
| 4 | 2009 | 14 | |
| 5 | 2005 | 13 | |
| 6 | 2017 | 13 | |
| 7 | 2006 | 13 | |
| 8 | 2012 | 10 | |
| 9 | 2016 | 8 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 2 | |
| 12 | 2011 | 2 | |
| 13 | 2025 | 0 |
About Gal Lavee
Gal Lavee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Signal Processing, having authored 13 papers that have together received 303 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers), Video Analysis and Summarization (3 papers), Recommender Systems and Techniques (2 papers), Natural Language Processing Techniques (2 papers), Digital Marketing and Social Media (2 papers), Gait Recognition and Analysis (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Artificial Intelligence (153 citations), Signal Processing (45 citations), Cardiology and Cardiovascular Medicine (39 citations) and Human-Computer Interaction (10 citations). Gal Lavee has collaborated with scholars based in Israel, United States and Ireland. Frequent co-authors include Michael Rudzsky, Ehud Rivlin, Bhavani Thuraisingham, Latifur Khan, Kira Radinsky, Tomer Golany, Jianping Fan, Royi Ronen, Oren Barkan and Noam Koenigstein. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Expert Systems with Applications, Multimedia Tools and Applications, IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) and Purdue e-Pubs (Purdue University System).
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.