Gal Lavee

501 total citations
13 papers, 302 citations indexed

About

Gal Lavee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Gal Lavee has authored 13 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Sociology and Political Science. Recurrent topics in Gal Lavee's work include Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Video Analysis and Summarization (3 papers). Gal Lavee is often cited by papers focused on Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Video Analysis and Summarization (3 papers). Gal Lavee collaborates with scholars based in Israel, United States and Ireland. Gal Lavee's co-authors include Michael Rudzsky, Ehud Rivlin, Bhavani Thuraisingham, Latifur Khan, Kira Radinsky, Tomer Golany, Elad Yom‐Tov, Royi Ronen, Jianping Fan and Elisa Bertino and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Circuits and Systems for Video Technology and Multimedia Tools and Applications.

In The Last Decade

Gal Lavee

12 papers receiving 276 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gal Lavee Israel	9	209	153	44	39	37	13	302
Zongxing Xie United States	11	150 0.7×	114 0.7×	69 1.6×	13 0.3×	56 1.5×	29	300
Giridhar Reddy Bojja United States	9	49 0.2×	109 0.7×	38 0.9×	33 0.8×	32 0.9×	21	292
Osama R. Shahin Saudi Arabia	11	36 0.2×	87 0.6×	13 0.3×	16 0.4×	19 0.5×	31	270
Hassan Nazeer Chaudhry Italy	7	77 0.4×	127 0.8×	30 0.7×	9 0.2×	28 0.8×	21	268
Aaron Jaech United States	8	66 0.3×	100 0.7×	42 1.0×	9 0.2×	55 1.5×	15	210
Neda Afreen India	11	39 0.2×	65 0.4×	50 1.1×	19 0.5×	22 0.6×	17	342
Charith Abhayaratne United Kingdom	11	365 1.7×	57 0.4×	64 1.5×	3 0.1×	25 0.7×	69	441
Mithilesh Atulkar India	9	38 0.2×	40 0.3×	36 0.8×	62 1.6×	65 1.8×	37	267
Nikolaos V. Boulgouris United Kingdom	9	331 1.6×	63 0.4×	80 1.8×	14 0.4×	255 6.9×	17	428

Countries citing papers authored by Gal Lavee

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gal Lavee

This figure shows the co-authorship network connecting the top 25 collaborators of Gal Lavee. A scholar is included among the top collaborators of Gal Lavee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gal Lavee. Gal Lavee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Guy, Ido, et al.. (2025). What is in a title? Characterizing product titles in e-commerce. Expert Systems with Applications. 287. 127702–127702.

Golany, Tomer, et al.. (2020). Improving ECG Classification Using Generative Adversarial Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 34(8). 13280–13285. 42 indexed citations

Lavee, Gal, Noam Koenigstein, & Oren Barkan. (2019). When actions speak louder than clicks. 287–295. 2 indexed citations

Lavee, Gal, et al.. (2019). Cross-Cultural Transfer Learning for Text Classification. 3871–3881. 4 indexed citations

Lavee, Gal, et al.. (2017). Groove Radio. 445–453. 12 indexed citations

Ronen, Royi, Elad Yom‐Tov, & Gal Lavee. (2016). Recommendations meet web browsing: enhancing collaborative filtering using internet browsing logs. 1230–1238. 8 indexed citations

Lavee, Gal, Michael Rudzsky, & Ehud Rivlin. (2012). Propagating Certainty in Petri Nets for Activity Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 23(2). 326–337. 10 indexed citations

Lavee, Gal, Ronny Lempel, Edo Liberty, & Oren Somekh. (2011). Inverted index compression via online document routing. 487–496. 2 indexed citations

Lavee, Gal, Ehud Rivlin, & Michael Rudzsky. (2009). Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 39(5). 489–504. 142 indexed citations

10.

Lavee, Gal, et al.. (2009). Video Event Modeling and Recognition in Generalized Stochastic Petri Nets. IEEE Transactions on Circuits and Systems for Video Technology. 20(1). 102–118. 14 indexed citations

11.

Lavee, Gal, Latifur Khan, & Bhavani Thuraisingham. (2007). A framework for a video analysis tool for suspicious event detection. Multimedia Tools and Applications. 35(1). 109–123. 40 indexed citations

12.

Thuraisingham, Bhavani, Gal Lavee, Elisa Bertino, Jianping Fan, & Latifur Khan. (2006). Access control, confidentiality and privacy for video surveillance databases. Purdue e-Pubs (Purdue University System). 1–1. 13 indexed citations

13.

Lavee, Gal, Latifur Khan, & Bhavani Thuraisingham. (2005). A framework for a video analysis tool for suspicious event detection. 79–84. 13 indexed citations

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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