David Balderas
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Digital Transformation in Industry
Papers in
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- EEG and Brain-Computer Interfaces 7
- Neural dynamics and brain function 4
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- Advanced Memory and Neural Computing 4
- Co-authors
- Arturo Molina (16 shared papers)Pedro Ponce (16 shared papers)Gerardo Hernández (1 shared paper)Erik Zamora (1 shared paper)Luis Arturo Soriano (1 shared paper)Brendan Z. Allison (1 shared paper)Reinhold Scherer (1 shared paper)Gernot Müller-Putz (1 shared paper)
- Journals
- Future Internet (2 papers)Expert Systems with Applications (1 paper)Life (1 paper)Frontiers in Neurorobotics (1 paper)Energy and Buildings (1 paper)
- Partner nations
- MexicoUnited StatesUnited Kingdom
In The Last Decade
David Balderas
21 papers receiving 374 citations
Peers
Comparison fields: 5 of 98
- Cognitive Neuroscience 97
- Industrial and Manufacturing Engineering 40
- Human-Computer Interaction 18
- Control and Systems Engineering 73
- Artificial Intelligence 76
Countries citing papers authored by David Balderas
This map shows the geographic impact of David Balderas'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 Balderas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Balderas more than expected).
Fields of papers citing papers by David Balderas
This network shows the impact of papers produced by David Balderas. 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 Balderas. The network helps show where David Balderas may publish in the future.
Co-authors
The 23 scholars most cited alongside David Balderas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2022 | 45 | |
| 3 | 2018 | 40 | |
| 4 | 2012 | 34 | |
| 5 | 2021 | 34 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 22 | |
| 8 | 2017 | 17 | |
| 9 | 2011 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2024 | 13 | |
| 12 | 2018 | 11 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2018 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2020 | 1 |
About David Balderas
David Balderas is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 382 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (4 papers), Digital Transformation in Industry (2 papers), Blind Source Separation Techniques (2 papers), Modular Robots and Swarm Intelligence (2 papers), Neuroscience and Neural Engineering (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (97 citations), Industrial and Manufacturing Engineering (40 citations), Human-Computer Interaction (18 citations), Control and Systems Engineering (73 citations) and Artificial Intelligence (76 citations). David Balderas has collaborated with scholars based in Mexico, United States and United Kingdom. Frequent co-authors include Arturo Molina, Pedro Ponce, Gerardo Hernández, Erik Zamora, Luis Arturo Soriano, Brendan Z. Allison, Reinhold Scherer, Gernot Müller-Putz, Josef Faller and Elisabeth V. C. Friedrich. Their work appears in journals such as Future Internet, Expert Systems with Applications, Life, Frontiers in Neurorobotics and Energy and Buildings.
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.