Tal Hassner

11.0k total citations · 5 hit papers
95 papers, 5.7k citations indexed

About

Tal Hassner is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tal Hassner has authored 95 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Tal Hassner's work include Face recognition and analysis (23 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Face and Expression Recognition (17 papers). Tal Hassner is often cited by papers focused on Face recognition and analysis (23 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Face and Expression Recognition (17 papers). Tal Hassner collaborates with scholars based in Israel, United States and United Kingdom. Tal Hassner's co-authors include Lior Wolf, Itay Maoz, Iacopo Masi, Yaniv Taigman, Gil Levi, Gérard Medioni, Prem Natarajan, Yue Wu, Shai Har-El and Yuval Nirkin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Experimental Biology and International Journal of Computer Vision.

In The Last Decade

Tal Hassner

85 papers receiving 5.5k citations

Hit Papers

Face recognition in unconstrained videos with matched bac... 2011 2026 2016 2021 2011 2014 2015 2012 2018 250 500 750

Peers

Tal Hassner
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 5.1k
  • Signal Processing 1.5k
  • Artificial Intelligence 1.1k
  • Computational Mechanics 380
  • Experimental and Cognitive Psychology 329
Replace Yaniv Taigman with:
Yaniv Taigman Israel
Zhiding Yu United States
Omkar Parkhi United Kingdom
Marios Savvides United States
Terence Sim Singapore
Bülent Sankur Türkiye
Hu Han China
Rainer Lienhart Germany
Xiaoyang Tan China
Tamara L. Berg United States
Yaniv Taigman Israel View profile →
Citations per field, relative to Tal Hassner
Tal Hassner · 1×
Citations per year, relative to Tal Hassner
Tal Hassner · 1×

Countries citing papers authored by Tal Hassner

Since Specialization
Citations

This map shows the geographic impact of Tal Hassner'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 Tal Hassner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Hassner more than expected).

Fields of papers citing papers by Tal Hassner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tal Hassner. 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 Tal Hassner. The network helps show where Tal Hassner may publish in the future.

Co-authorship network of co-authors of Tal Hassner

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Hassner. A scholar is included among the top collaborators of Tal Hassner 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 Tal Hassner. Tal Hassner 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
# Work Indexed citations
1 0
2 13
3 28
4 10
5 5
6 7
7 38
8 0
9 2
10 4
11
LEEP: A New Measure to Evaluate Transferability of Learned Representations
8
12 66
13 107
14 40
15
LATCH: Learned arrangements of three patch codes
1
16
Temporal Tessellation for Video Annotation and Summarization.
4
17 90
18
Variational Relevance Vector Machine for Tabular Data
1
19 42
20 9

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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