Tomer Carmel

552 citations
13 papers · 422 indexed · h-index 10
Topics
Neural and Behavioral Psychology Studies (9 papers)Visual perception and processing mechanisms (7 papers)Face Recognition and Perception (3 papers)
Partner nations
IsraelUnited States

In The Last Decade

Tomer Carmel

13 papers receiving 414 citations

Peers

Tomer Carmel
Comparison fields: 5 of 39
  • Cognitive Neuroscience 360
  • Computer Vision and Pattern Recognition 71
  • Experimental and Cognitive Psychology 68
  • Sociology and Political Science 38
  • Social Psychology 32
Replace Jason Rajsic with:
Jason Rajsic Canada
Bonnie Angelone United States
Bradley J. Wolfgang Australia
Asael Y. Sklar Israel
Tobias Feldmann‐Wüstefeld Germany
Anna Heuer Germany
Jifan Zhou China
Carlos González‐García Spain
Weizhi Nan China
Manuel Rausch Germany
Tomer Carmel relative to Jason Rajsic Canada Jason Rajsic's profile →
Citations per field
00.5×2.7×
Jason Rajsic · 1×
Citations per year

Countries citing papers authored by Tomer Carmel

Since Specialization
Citations

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

Fields of papers citing papers by Tomer Carmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Carmel

This figure shows the co-authorship network connecting the top 25 collaborators of Tomer Carmel. A scholar is included among the top collaborators of Tomer Carmel 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 Tomer Carmel. Tomer Carmel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 8
3 12
4 24
5 16
6 33
7 56
8 40
9 2
10 29
11 104
12 72
13 25

About Tomer Carmel

Tomer Carmel is a scholar working on General Decision Sciences, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 422 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (9 papers), Visual perception and processing mechanisms (7 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Cognitive Neuroscience (360 citations), General Decision Sciences (27 citations) and Sensory Systems (27 citations). Tomer Carmel has collaborated with scholars based in Israel and United States. Frequent co-authors include Dominique Lamy, Howard E. Egeth, Andrew B. Leber, Nir Shalev, Badi Hasisi, David Weisburd, Yaffa Yeshurun, Ruth Kimchi, Michael Wolfowicz and Yoav Bar‐Anan. Their work appears in journals such as Psychological Science, Cognition and Journal of Experimental Psychology Human Perception & Performance.

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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