David Gamez

741 citations
39 papers · 386 · h-index 10

Impact in

Papers in

David Gamez

35 papers receiving 336 citations

Peers

David Gamez
Comparison fields: 5 of 62
  • Cognitive Neuroscience 201
  • Artificial Intelligence 126
  • Control and Systems Engineering 82
  • Computer Networks and Communications 80
  • Signal Processing 33
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Roman Ilin United States
A. Harry Klopf United States
Heiko Wersing Germany
Christoph Salge United Kingdom
Jacob M.J. Murre Netherlands
Alireza Zaeemzadeh United States
Nicolás Rubido Uruguay
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Ronny Meir Israel
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Citations per year

Countries citing papers authored by David Gamez

Since Specialization
Citations

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

Fields of papers citing papers by David Gamez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Gamez, 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 David Gamez Line = papers co-authored together David Gamez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200375
2 200769
3 201231
4 200923
5 201223
6 201413
7 201113
8 201112
9
Safeguarding Critical Infrastructures
200411
10 201210
11 20209
12 20099
13 20148
14 20068
15 20127
16 20077
17 20146
18 20146
19
What We Can Never Know: Blindspots in Philosophy and Science
20076
20 20115

About David Gamez

David Gamez is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 39 papers that have together received 386 indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Advanced Memory and Neural Computing (10 papers), Embodied and Extended Cognition (10 papers), EEG and Brain-Computer Interfaces (9 papers), Computability, Logic, AI Algorithms (6 papers), Neural Networks and Applications (4 papers), Functional Brain Connectivity Studies (4 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Cognitive Neuroscience (201 citations), Artificial Intelligence (126 citations), Control and Systems Engineering (82 citations), Computer Networks and Communications (80 citations) and Signal Processing (33 citations). David Gamez has collaborated with scholars based in United Kingdom, Switzerland and Japan. Frequent co-authors include John Bigham, Ning Lü, Andreas Fidjeland, Igor Aleksander, Zafeirios Fountas, Havi Carel, Simin Nadjm‐Tehrani, Chris Phillips, Chris Phillips and Murray Shanahan. Their work appears in journals such as Consciousness and Cognition, IEEE Transactions on Computational Intelligence and AI in Games, Advances in experimental medicine and biology, Frontiers in Psychology and Bioinspiration & Biomimetics.

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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