J.J. Vidal

1.9k citations
12 papers · 1.2k · 1 hit paper · h-index 6

Impact in

Papers in

J.J. Vidal

11 papers receiving 1.1k citations

J.J. Vidal's Hit Papers

Toward Direct Brain-Computer Communication 1973 · 758 citations
7580+17+35Years since publication250500750

Peers

J.J. Vidal
Comparison fields: 5 of 76
  • Cognitive Neuroscience 996
  • Human-Computer Interaction 216
  • Cellular and Molecular Neuroscience 573
  • Signal Processing 125
  • Neurology 47
Replace J. Kalcher with:
J. Kalcher Austria
Günter Edlinger Austria
Claudia Keinrath Austria
Gunther Krausz Austria
Josef Faller United States
Stephan Waldert Germany
Shangkai Gao China
B. Graimann Austria
Mahnaz Arvaneh United Kingdom
Gernot Müller Austria
J.J. Vidal relative to J. Kalcher Austria J. Kalcher's profile →
Citations per field
00.5×4.2×
J. Kalcher · 1×
Citations per year

Countries citing papers authored by J.J. Vidal

Since Specialization
Citations

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

Fields of papers citing papers by J.J. Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside J.J. Vidal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.J. Vidal Line = papers co-authored together J.J. Vidal links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Toward Direct Brain-Computer Communication
Hit paper breakdown →
1973758
2 1977281
3 197148
4 199430
5 198820
6 19759
7 19913
8 19883
9 20021
10 19641
11
Characterization and compensation of quantization errors in hybrid computer systems.
19651
12 20030

About J.J. Vidal

J.J. Vidal is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Neural dynamics and brain function (4 papers), Analog and Mixed-Signal Circuit Design (3 papers), Advanced Memory and Neural Computing (3 papers), Advanced Control Systems Optimization (2 papers), Fish biology, ecology, and behavior (1 paper), Evolutionary Algorithms and Applications (1 paper) and Neural Networks and Reservoir Computing (1 paper). The work is most often cited by research in Cognitive Neuroscience (996 citations), Human-Computer Interaction (216 citations), Cellular and Molecular Neuroscience (573 citations), Signal Processing (125 citations) and Neurology (47 citations). J.J. Vidal has collaborated with scholars based in United States. Frequent co-authors include J. P. Segundo, J. Rosenberg, Marc Jeannerod, Herbert Levitan, Dennis P. O’Leary, Walter J. Karplus and Bruce E. Rosen. Their work appears in journals such as Biological Cybernetics, Proceedings of the IEEE, Annual Review of Biophysics and Bioengineering, IEEE Transactions on Acoustics Speech and Signal Processing and Kybernetik.

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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