Johnatan Aljadeff

1.2k citations
22 papers · 667 · h-index 16

Impact in

Papers in

Johnatan Aljadeff

22 papers receiving 654 citations

Peers

Johnatan Aljadeff
Comparison fields: 5 of 89
  • Cognitive Neuroscience 373
  • Cellular and Molecular Neuroscience 247
  • Sensory Systems 36
  • Statistical and Nonlinear Physics 95
  • Ecology, Evolution, Behavior and Systematics 92
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Scott W. Linderman United States
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Citations per field
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Citations per year

Countries citing papers authored by Johnatan Aljadeff

Since Specialization
Citations

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

Fields of papers citing papers by Johnatan Aljadeff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Johnatan Aljadeff, 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 Johnatan Aljadeff Line = papers co-authored together Johnatan Aljadeff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201598
2 201589
3 202065
4 202161
5 202161
6 201656
7 201836
8 202223
9 202222
10 201622
11 202320
12 202316
13 202115
14 201115
15
EIGENVALUES OF BLOCK STRUCTURED ASYMMETRIC RANDOM MATRICES
201615
16 201815
17 202115
18 20137
19 20226
20 20144

About Johnatan Aljadeff

Johnatan Aljadeff is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 22 papers that have together received 667 indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Neural Networks and Applications (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced Memory and Neural Computing (4 papers), Memory and Neural Mechanisms (4 papers), stochastic dynamics and bifurcation (4 papers), Plant and animal studies (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (373 citations), Cellular and Molecular Neuroscience (247 citations), Sensory Systems (36 citations), Statistical and Nonlinear Physics (95 citations) and Ecology, Evolution, Behavior and Systematics (92 citations). Johnatan Aljadeff has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Tatyana O. Sharpee, Merav Stern, Nachum Ulanovsky, Nicolas Brunel, Liora Las, Amos Maritan, György Barabás, Stefano Allesina, Jacopo Grilli and Si Tang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Nature, Neuron and Physical Review Letters.

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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