Dahlia Sharon

1.1k citations
11 papers · 821 indexed · h-index 9
Topics
Neural dynamics and brain function (6 papers)Visual perception and processing mechanisms (4 papers)Functional Brain Connectivity Studies (3 papers)

In The Last Decade

Dahlia Sharon

11 papers receiving 796 citations

Peers

Dahlia Sharon
Comparison fields: 5 of 99
  • Cognitive Neuroscience 507
  • Cellular and Molecular Neuroscience 238
  • Computer Vision and Pattern Recognition 130
  • Molecular Biology 125
  • Radiology, Nuclear Medicine and Imaging 80
Replace Pierre Yger with:
Pierre Yger France
Thom Carney United States
Grace W. Lindsay United States
Kaoru Amano Japan
Laurent Perrinet France
Leonid L. Kontsevich United States
Russell D. Hamer United States
James Gaska United States
Yoichi Miyawaki Japan
Xoana G. Troncoso United States
Dahlia Sharon relative to Pierre Yger France Pierre Yger's profile →
Citations per field
00.5×1.5×
Pierre Yger · 1×
Citations per year

Countries citing papers authored by Dahlia Sharon

Since Specialization
Citations

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

Fields of papers citing papers by Dahlia Sharon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahlia Sharon

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 13
2 8
3 10
4 22
5 198
6 156
7 41
8 164
9 72
10 135
11
Issues of Gender in Spatial Reasoning.
2

About Dahlia Sharon

Dahlia Sharon is a scholar working on General Decision Sciences, Cognitive Neuroscience and Sensory Systems, having authored 11 papers that have together received 821 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (4 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (507 citations), Cellular and Molecular Neuroscience (238 citations) and Computer Vision and Pattern Recognition (130 citations). Dahlia Sharon has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Matti Hämäläinen, Amiram Grinvald, Nathan Dascal, Ronen Basri, Achi Brandt, Meirav Galun, E. Sharon, Eric Halgren, Roger B. H. Tootell and John W. Belliveau. Their work appears in journals such as Nature, Science 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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