George Kastellakis

24 total papers · 945 total citations
13 papers, 522 citations indexed

About

George Kastellakis is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, George Kastellakis has authored 13 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 4 papers in Electrical and Electronic Engineering. Recurrent topics in George Kastellakis's work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (11 papers) and Memory and Neural Mechanisms (6 papers). George Kastellakis is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (11 papers) and Memory and Neural Mechanisms (6 papers). George Kastellakis collaborates with scholars based in Greece, Germany and United States. George Kastellakis's co-authors include Panayiota Poirazi, Alcino J. Silva, Alexandra Tzilivaki, Sara C. Mednick, Denise J. Cai, Amos Gdalyahu, Miou Zhou, Joshua T. Trachtenberg, Shan Huang and Adam C. Frank and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

George Kastellakis

13 papers receiving 518 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
George Kastellakis 374 372 105 77 63 13 522
Spyridon Chavlis 352 0.9× 340 0.9× 61 0.6× 59 0.8× 68 1.1× 15 473
Kishore V. Kuchibhotla 299 0.8× 348 0.9× 42 0.4× 108 1.4× 39 0.6× 12 504
Megha Sehgal 310 0.8× 230 0.6× 41 0.4× 102 1.3× 86 1.4× 10 490
Kexin Yuan 260 0.7× 408 1.1× 71 0.7× 55 0.7× 54 0.9× 21 582
Cian O’Donnell 304 0.8× 321 0.9× 56 0.5× 119 1.5× 18 0.3× 23 478
Albert Gidon 352 0.9× 416 1.1× 173 1.6× 68 0.9× 34 0.5× 12 609
Alex S. Ferecskó 341 0.9× 405 1.1× 55 0.5× 92 1.2× 36 0.6× 11 563
William Mau 362 1.0× 440 1.2× 21 0.2× 33 0.4× 65 1.0× 12 509
Tatjana Tchumatchenko 296 0.8× 390 1.0× 79 0.8× 112 1.5× 27 0.4× 38 567
Mario Dipoppa 238 0.6× 358 1.0× 57 0.5× 115 1.5× 30 0.5× 14 546

Countries citing papers authored by George Kastellakis

Since Specialization
Citations

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

Fields of papers citing papers by George Kastellakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Kastellakis

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

All Works

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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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