Georgios Detorakis

752 total citations
13 papers, 390 citations indexed

About

Georgios Detorakis is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Georgios Detorakis has authored 13 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Georgios Detorakis's work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (7 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Georgios Detorakis is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (7 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Georgios Detorakis collaborates with scholars based in United States and France. Georgios Detorakis's co-authors include Emre Neftci, Somnath Paul, Charles Augustine, Antoine Chaillet, Stéphane Palfi, Sühan Senova, Benjamin Grisafe, Suman Datta, Abhishek Khanna and Sourav Dutta and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Georgios Detorakis

13 papers receiving 381 citations

Peers

Georgios Detorakis
Comparison fields: 5 of 43
  • Electrical and Electronic Engineering 302
  • Cognitive Neuroscience 220
  • Artificial Intelligence 144
  • Cellular and Molecular Neuroscience 114
  • Neurology 16
Replace Jochen Martin Eppler with:
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Citations per field, relative to Georgios Detorakis
Georgios Detorakis · 1×
Citations per year, relative to Georgios Detorakis
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Countries citing papers authored by Georgios Detorakis

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Detorakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Detorakis

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 43
2 1
3 14
4 2
5 8
6 22
7 164
8
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning - eScholarship
1
9 10
10 82
11 19
12 8
13 16

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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