Ari E. Kahn

3.1k citations
35 papers · 1.6k · 1 hit paper · h-index 13

Impact in

Papers in

Ari E. Kahn

30 papers receiving 1.6k citations

Ari E. Kahn's Hit Papers

Controllability of structural brain networks 2015 · 618 citations
6180+3+7Years since publication200400600

Peers

Ari E. Kahn
Comparison fields: 5 of 122
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 200
  • Radiology, Nuclear Medicine and Imaging 267
  • Statistical and Nonlinear Physics 124
  • Cellular and Molecular Neuroscience 127
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Citations per year

Countries citing papers authored by Ari E. Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Ari E. Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ari E. Kahn. 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 Ari E. Kahn. The network helps show where Ari E. Kahn may publish in the future.

Co-authors

The 25 scholars most cited alongside Ari E. Kahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ari E. Kahn Line = papers co-authored together Ari E. Kahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Controllability of structural brain networks
Hit paper breakdown →
2015618
2 2017287
3 201794
4 201994
5 202392
6 201989
7 202356
8 201852
9 201949
10 202028
11 202026
12 202323
13 201920
14 202213
15 201610
16 20179
17 20188
18 20227
19 20237
20 20007

About Ari E. Kahn

Ari E. Kahn is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Statistical and Nonlinear Physics, Developmental and Educational Psychology and Pharmacology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Functional Brain Connectivity Studies (16 papers), EEG and Brain-Computer Interfaces (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (4 papers), Child and Animal Learning Development (3 papers), Memory and Neural Mechanisms (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (200 citations), Radiology, Nuclear Medicine and Imaging (267 citations), Statistical and Nonlinear Physics (124 citations) and Cellular and Molecular Neuroscience (127 citations). Ari E. Kahn has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Danielle S. Bassett, Jean M. Vettel, Fabio Pasqualetti, John Dominic Medaglia, Scott T. Grafton, Michael B. Miller, Matthew Cieslak, Alfred B. Yu, Shi Gu and Qawi K. Telesford. Their work appears in journals such as Nature Physics, NeuroImage, Nature Communications, Frontiers in Medicine and Cognition.

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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