Dejan Pecevski

1.4k total citations
9 papers, 419 citations indexed

About

Dejan Pecevski is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Dejan Pecevski has authored 9 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Dejan Pecevski's work include Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (6 papers) and Neural Networks and Applications (4 papers). Dejan Pecevski is often cited by papers focused on Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (6 papers) and Neural Networks and Applications (4 papers). Dejan Pecevski collaborates with scholars based in Austria, Germany and Belgium. Dejan Pecevski's co-authors include Wolfgang Maass, Robert Legenstein, Lars Buesing, David Kappel, Jan Peters, Elmar Rueckert, David Verstraeten, Philémon Brakel, Benjamin Schrauwen and Sander Dieleman and has published in prestigious journals such as Scientific Reports, PLoS Computational Biology and Journal of Machine Learning Research.

In The Last Decade

Dejan Pecevski

9 papers receiving 406 citations

Peers

Dejan Pecevski
Comparison fields: 5 of 58
  • Cognitive Neuroscience 307
  • Electrical and Electronic Engineering 264
  • Artificial Intelligence 149
  • Cellular and Molecular Neuroscience 128
  • Statistical and Nonlinear Physics 21
Replace Massimiliano Versace with:
Massimiliano Versace United States
Nicolas Frémaux Switzerland
Eric Hunsberger Canada
David Kappel Germany
Soheila Nazari Iran
Jordan Guerguiev Canada
Johannes Bill United States
Kshitij Dhoble New Zealand
Guillaume Lajoie Canada
Nuttapod Nuntalid Switzerland
Massimiliano Versace United States View profile →
Citations per field, relative to Dejan Pecevski
Dejan Pecevski · 1×
Citations per year, relative to Dejan Pecevski
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Countries citing papers authored by Dejan Pecevski

Since Specialization
Citations

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

Fields of papers citing papers by Dejan Pecevski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejan Pecevski

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 12
2 42
3 13
4
Oger: modular learning architectures for large-scale sequential processing
19
5 74
6 61
7 5
8 186
9
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
7

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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