Szabolcs Káli

1.7k total citations
27 papers, 920 citations indexed

About

Szabolcs Káli is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Szabolcs Káli has authored 27 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 23 papers in Cellular and Molecular Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Szabolcs Káli's work include Neuroscience and Neuropharmacology Research (18 papers), Neural dynamics and brain function (16 papers) and Memory and Neural Mechanisms (15 papers). Szabolcs Káli is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Neural dynamics and brain function (16 papers) and Memory and Neural Mechanisms (15 papers). Szabolcs Káli collaborates with scholars based in Hungary, United Kingdom and United States. Szabolcs Káli's co-authors include Peter Dayan, Tamás F. Freund, Norbert Hájos, Attila I. Gulyás, László Acsády, Dániel Schlingloff, Rita Zemankovics, Ole Paulsen, Gábor Szabó and István Ulbert and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Szabolcs Káli

26 papers receiving 912 citations

Peers

Szabolcs Káli
Comparison fields: 5 of 65
  • Cognitive Neuroscience 750
  • Cellular and Molecular Neuroscience 725
  • Molecular Biology 100
  • Neurology 74
  • Developmental Neuroscience 58
Replace Benjamin A. Suter with:
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Ronny Eichler United States
Omar J. Ahmed United States
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Guilherme Testa-Silva Netherlands
Vítor Lopes‐dos‐Santos United Kingdom
Marianne Bezaire United States
Segundo J. Guzman Austria
Varun Sreenivasan United States
Maciej T. Lazarewicz United States
Benjamin A. Suter United States View profile →
Citations per field, relative to Szabolcs Káli
Szabolcs Káli · 1×
Citations per year, relative to Szabolcs Káli
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Countries citing papers authored by Szabolcs Káli

Since Specialization
Citations

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

Fields of papers citing papers by Szabolcs Káli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szabolcs Káli

This figure shows the co-authorship network connecting the top 25 collaborators of Szabolcs Káli. A scholar is included among the top collaborators of Szabolcs Káli 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 Szabolcs Káli. Szabolcs Káli 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
# Work Indexed citations
1 1
2 7
3 13
4 11
5 2
6 7
7 174
8 73
9 2
10 70
11 5
12 140
13 3
14 83
15 14
16 111
17 1
18
Replay, Repair and Consolidation
2
19
Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex
4
20 98

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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