Leon Y. Deouell

7.9k citations
90 papers · 5.7k indexed · 3 hit papers · h-index 37
Topics
Neural dynamics and brain function (40 papers)Visual perception and processing mechanisms (27 papers)Neuroscience and Music Perception (27 papers)

In The Last Decade

Leon Y. Deouell

87 papers receiving 5.6k citations

Hit Papers

Alterations in the BOLD fMRI signal with ageing and disea...2000202620082017200320082000200400600

Peers

Leon Y. Deouell
Comparison fields: 5 of 121
  • Cognitive Neuroscience 5.2k
  • Experimental and Cognitive Psychology 1.4k
  • Computer Vision and Pattern Recognition 405
  • Cellular and Molecular Neuroscience 385
  • Social Psychology 358
Replace Takeo Watanabe with:
Takeo Watanabe United States
Ernst Pöppel Germany
Nathalie George France
Stephen A. Engel United States
Ksenija Marinković United States
Allison B. Sekuler Canada
H.–J. Heinze Germany
H. Steven Scholte Netherlands
John T. Serences United States
Zoe Kourtzi United Kingdom
Leon Y. Deouell relative to Takeo Watanabe United States Takeo Watanabe's profile →
Citations per field
00.5×1.6×
Takeo Watanabe · 1×
Citations per year

Countries citing papers authored by Leon Y. Deouell

Since Specialization
Citations

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

Fields of papers citing papers by Leon Y. Deouell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leon Y. Deouell. 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 Leon Y. Deouell. The network helps show where Leon Y. Deouell may publish in the future.

Co-authorship network of co-authors of Leon Y. Deouell

This figure shows the co-authorship network connecting the top 25 collaborators of Leon Y. Deouell. A scholar is included among the top collaborators of Leon Y. Deouell 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 Leon Y. Deouell. Leon Y. Deouell 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
#WorkIndexed citations
1 0
2 11
3 9
4 7
5 2
6 28
7 14
8 10
9 135
10 15
11 39
12 35
13 22
14 215
15 43
16 11
17 52
18 18
19 13
20 97

About Leon Y. Deouell

Leon Y. Deouell is a scholar working on Cognitive Neuroscience, General Decision Sciences and Experimental and Cognitive Psychology, having authored 90 papers that have together received 5.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (40 papers), Visual perception and processing mechanisms (27 papers) and Neuroscience and Music Perception (27 papers). The work is most often cited by research in Cognitive Neuroscience (5.2k citations), Experimental and Cognitive Psychology (1.4k citations) and Sensory Systems (271 citations). Leon Y. Deouell has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Shlomo Bentin, Shlomit Yuval‐Greenberg, Mark D’Esposito, Adam Gazzaley, Assaf Breska, Nachum Soroker, Robert T. Knight, Liad Mudrik, Israel Nelken and Orr Tomer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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