J.J. Vidal

1.9k total citations · 1 hit paper
12 papers, 1.2k citations indexed

About

J.J. Vidal is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, J.J. Vidal has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Cognitive Neuroscience and 4 papers in Electrical and Electronic Engineering. Recurrent topics in J.J. Vidal's work include Neural Networks and Applications (7 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (3 papers). J.J. Vidal is often cited by papers focused on Neural Networks and Applications (7 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (3 papers). J.J. Vidal collaborates with scholars based in United States. J.J. Vidal's co-authors include J. P. Segundo, Herbert Levitan, J. Rosenberg, Marc Jeannerod, Dennis P. O’Leary, Bruce E. Rosen and Walter J. Karplus and has published in prestigious journals such as Proceedings of the IEEE, Biological Cybernetics and Annual Review of Biophysics and Bioengineering.

In The Last Decade

J.J. Vidal

11 papers receiving 1.1k citations

Hit Papers

Toward Direct Brain-Computer Communication 1973 2026 1990 2008 1973 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J.J. Vidal United States 6 996 573 250 216 125 12 1.2k
J. Kalcher Austria 7 940 0.9× 430 0.8× 143 0.6× 120 0.6× 118 0.9× 9 999
M. Pregenzer Austria 12 1.5k 1.5× 752 1.3× 312 1.2× 251 1.2× 354 2.8× 17 1.6k
B. Obermaier Austria 8 1.1k 1.1× 613 1.1× 273 1.1× 232 1.1× 254 2.0× 10 1.2k
Claudia Keinrath Austria 12 1.6k 1.6× 657 1.1× 281 1.1× 360 1.7× 304 2.4× 22 1.7k
Yadong Liu China 17 1.1k 1.1× 559 1.0× 257 1.0× 338 1.6× 154 1.2× 81 1.3k
Josef Faller United States 20 1.1k 1.1× 519 0.9× 288 1.2× 203 0.9× 123 1.0× 56 1.2k
Gunther Krausz Austria 13 1.7k 1.7× 908 1.6× 271 1.1× 321 1.5× 107 0.9× 20 1.8k
J. Mouriño Spain 11 1.1k 1.1× 611 1.1× 246 1.0× 298 1.4× 173 1.4× 33 1.3k
Günter Edlinger Austria 15 1.4k 1.4× 615 1.1× 167 0.7× 170 0.8× 92 0.7× 40 1.5k
Guillaume Gibert France 12 872 0.9× 325 0.6× 153 0.6× 205 0.9× 157 1.3× 26 1.1k

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-authorship network of co-authors of J.J. Vidal

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

All Works

12 of 12 papers shown
1.
Rosen, Bruce E., et al.. (2003). An associative magnetic processor for image reconstruction. 3. 321–325.
2.
Rosen, Bruce E., et al.. (2002). Adaptive coarse coding for neural network controllers. i. 493–499. 1 indexed citations
3.
Vidal, J.J., et al.. (1994). Genetic design of fuzzy controllers: the cart and jointed-pole problem. 1332–1337 vol.2. 30 indexed citations
4.
Vidal, J.J., et al.. (1991). A dual network expert system. 2. 1670–1674 vol.2. 3 indexed citations
5.
Rosen, Bruce E., et al.. (1988). Machine operant conditioning. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 1500–1501 vol.3. 3 indexed citations
6.
Vidal, J.J.. (1988). Implementing neural nets with programmable logic. IEEE Transactions on Acoustics Speech and Signal Processing. 36(7). 1180–1190. 20 indexed citations
7.
Vidal, J.J.. (1977). Real-time detection of brain events in EEG. Proceedings of the IEEE. 65(5). 633–641. 281 indexed citations
8.
O’Leary, Dennis P., J. P. Segundo, & J.J. Vidal. (1975). Perturbation effects on stability of gravity receptors. Biological Cybernetics. 17(2). 99–108. 9 indexed citations
9.
Vidal, J.J.. (1973). Toward Direct Brain-Computer Communication. Annual Review of Biophysics and Bioengineering. 2(1). 157–180. 758 indexed citations breakdown →
10.
Vidal, J.J., et al.. (1971). Static and dynamic properties of gravity-sensitive receptors in the cat vestibular system. Kybernetik. 9(6). 205–215. 48 indexed citations
11.
Karplus, Walter J. & J.J. Vidal. (1965). Characterization and compensation of quantization errors in hybrid computer systems.. NASA Technical Reports Server (NASA). 1 indexed citations
12.
Vidal, J.J., et al.. (1964). Sensitivity coefficients for the correction of quantization errors in hybrid computer systems. IFAC Proceedings Volumes. 1(3). 197–208. 1 indexed citations

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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