Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Bezalel Peleg'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 Bezalel Peleg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bezalel Peleg more than expected).
This network shows the impact of papers produced by Bezalel Peleg. 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 Bezalel Peleg. The network helps show where Bezalel Peleg may publish in the future.
Co-authorship network of co-authors of Bezalel Peleg
This figure shows the co-authorship network connecting the top 25 collaborators of Bezalel Peleg.
A scholar is included among the top collaborators of Bezalel Peleg 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 Bezalel Peleg. Bezalel Peleg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Ephrat, Ariel, et al.. (2017). Seeing Through Noise: Speaker Separation and Enhancement using Visually-derived Speech.. arXiv (Cornell University).11 indexed citations
2.
Peleg, Bezalel, et al.. (2017). Visual Speech Enhancement using Noise-Invariant Training. arXiv (Cornell University).8 indexed citations
3.
Werman, Michael, et al.. (2014). Event Matching from Significantly Different Views using Motion Barcodes.. arXiv (Cornell University).3 indexed citations
4.
Peleg, Bezalel. (2007). Video Mosaicing for Non-Chronological Time Editing. Machine Vision and Applications. 367–375.1 indexed citations
5.
Rav-Acha, Alex, Yael Pritch, Dani Lischinski, & Bezalel Peleg. (2007). Dynamosaicing: Mosaicing of Dynamic Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(10). 1789–1801.40 indexed citations
Peleg, Bezalel, Joachim Rosenmüller, & Peter Sudhölter. (1999). The canonical extensive form of a game form. Part I - Symmetries. University of Southern Denmark Research Portal (University of Southern Denmark). 253. 367–387.4 indexed citations
11.
Bouthémy, Patrick, et al.. (1999). Video Hyper-link Creation for Content-Based Browsing and Navigation. HAL (Le Centre pour la Communication Scientifique Directe).4 indexed citations
12.
Rousso, Benny, et al.. (1997). Video Mosaicing using Manifold Projection.. British Machine Vision Conference.1 indexed citations
13.
Peleg, Bezalel, J.A.M. Potters, & S.H. Tijs. (1994). Minimality of Consistent Solutions for Strategic Games, in particular for Potential Games. Research portal (Tilburg University).1 indexed citations
14.
Peleg, Bezalel, et al.. (1981). Shape Segmentation Using Relaxation. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-3(4). 368–375.11 indexed citations
15.
Peleg, Bezalel & Azriel Rosenfeld. (1981). A Min-Max Medial Axis Transformation. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-3(2). 208–210.55 indexed citations
16.
Peleg, Bezalel. (1980). A New Probabilistic Relaxation Scheme. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-2(4). 362–369.128 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.