Darjan Salaj

907 total citations · 1 hit paper
4 papers, 308 citations indexed

About

Darjan Salaj is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Darjan Salaj has authored 4 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Darjan Salaj's work include Neural Networks and Reservoir Computing (3 papers), Neural dynamics and brain function (2 papers) and Advanced Memory and Neural Computing (2 papers). Darjan Salaj is often cited by papers focused on Neural Networks and Reservoir Computing (3 papers), Neural dynamics and brain function (2 papers) and Advanced Memory and Neural Computing (2 papers). Darjan Salaj collaborates with scholars based in Austria, Switzerland and Germany. Darjan Salaj's co-authors include Robert Legenstein, Guillaume Bellec, Anand Subramoney, Wolfgang Maass, Franz Scherr, Sandra Diaz-Pier, Jakob Jordan and A. Ravishankar Rao and has published in prestigious journals such as Nature Communications, eLife and Figshare.

In The Last Decade

Darjan Salaj

3 papers receiving 307 citations

Hit Papers

A solution to the learning dilemma for recurrent networks... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Darjan Salaj
Comparison fields: 5 of 35
  • Electrical and Electronic Engineering 257
  • Cognitive Neuroscience 204
  • Artificial Intelligence 139
  • Cellular and Molecular Neuroscience 75
  • Computer Vision and Pattern Recognition 7
Replace Anand Subramoney with:
Anand Subramoney Germany
Franz Scherr Austria
Guillaume Bellec Austria
Georgios Detorakis United States
Christopher Johansson Sweden
Hanle Zheng China
Yannik Stradmann Germany
Christian Pehle Germany
Johanni Brea Switzerland
Eric Müller Germany
Anand Subramoney Germany View profile →
Citations per field, relative to Darjan Salaj
Darjan Salaj · 1×
Citations per year, relative to Darjan Salaj
Darjan Salaj · 1×

Countries citing papers authored by Darjan Salaj

Since Specialization
Citations

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

Fields of papers citing papers by Darjan Salaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darjan Salaj

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

All Works

4 of 4 papers shown
# Work Indexed citations
1 34
2
A solution to the learning dilemma for recurrent networks of spiking neurons breakdown →
269
3 0
4
Eligibility traces provide a data-inspired alternative to backpropagation through time
5

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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