David Gamez
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 19
- EEG and Brain-Computer Interfaces 7
- Embodied and Extended Cognition 7
- Functional Brain Connectivity Studies 4
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- Neural Networks and Applications 4
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- Advanced Memory and Neural Computing 7
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- Smart Grid Security and Resilience 2
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- Innovative Teaching Methods 2
- Co-authors
- Andreas FidjelandIgor AleksanderZafeirios FountasMaría Dolores Guerra-MartínHavi CarelJohn BighamJin XuanChris Phillips
- Journals
- Consciousness and Cognition (3 papers)Neuroinformatics (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United KingdomSpain
In The Last Decade
David Gamez
29 papers receiving 209 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 156
- History and Philosophy of Science 10
- Artificial Intelligence 68
- Computational Theory and Mathematics 24
- Social Psychology 24
Countries citing papers authored by David Gamez
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
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-authorship network
The 11 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 1 | |
| 2 | 2020 | 9 | |
| 3 | Four preconditions for solving MC4 machine consciousness | 2019 | 1 |
| 4 | Could neurolecturing address the limitations of live and recorded lectures | 2018 | 2 |
| 5 | 2017 | 1 | |
| 6 | 2016 | 7 | |
| 7 | 2014 | 10 | |
| 8 | 2014 | 5 | |
| 9 | 2012 | 26 | |
| 10 | 2012 | 4 | |
| 11 | 2011 | 12 | |
| 12 | 2011 | 10 | |
| 13 | It's War - But Not As We Know It | 2009 | 1 |
| 14 | 2009 | 18 | |
| 15 | 2009 | 9 | |
| 16 | Iconic Training and Effective Information: Evaluating Meaning in Discrete Neural Networks. | 2009 | 4 |
| 17 | 2007 | 56 | |
| 18 | 2005 | 1 | |
| 19 | Safeguarding Critical Infrastructures | 2004 | 4 |
| 20 | What Philosophy is | 2004 | 2 |
About David Gamez
David Gamez is a scholar working on Cognitive Neuroscience, History and Philosophy of Science, Computational Theory and Mathematics, Artificial Intelligence and Computer Science Applications, having authored 30 papers that have together received 242 indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Advanced Memory and Neural Computing (7 papers), EEG and Brain-Computer Interfaces (7 papers), Embodied and Extended Cognition (7 papers), Neural Networks and Applications (4 papers), Functional Brain Connectivity Studies (4 papers), Smart Grid Security and Resilience (2 papers) and Innovative Teaching Methods (2 papers). The work is most often cited by research in Cognitive Neuroscience (156 citations), History and Philosophy of Science (10 citations), Artificial Intelligence (68 citations), Computational Theory and Mathematics (24 citations) and Social Psychology (24 citations). David Gamez has collaborated with scholars based in United Kingdom and Spain. Frequent co-authors include Andreas Fidjeland, Igor Aleksander, Zafeirios Fountas, María Dolores Guerra-Martín, Havi Carel, John Bigham, Jin Xuan, Chris Phillips, Simin Nadjm‐Tehrani and Murray Shanahan. Their work appears in journals such as Consciousness and Cognition, Neuroinformatics, Advances in experimental medicine and biology, Frontiers in Psychology and IEEE Transactions on Computational Intelligence and AI in Games.
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.