David Balderas
Impact in
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- 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)Luis Arturo Soriano (1 shared paper)Erik Zamora (1 shared paper)Gerardo Hernández (1 shared paper)Elisabeth V. C. Friedrich (1 shared paper)Gernot Müller-Putz (1 shared paper)Brendan Z. Allison (1 shared paper)
- Journals
- Future Internet (2 papers)Energies (1 paper)The International Journal of Advanced Manufacturing Technology (1 paper)Soft Computing (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- MexicoUnited KingdomUnited States
In The Last Decade
David Balderas
21 papers receiving 349 citations
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 93
- Industrial and Manufacturing Engineering 39
- Human-Computer Interaction 20
- Control and Systems Engineering 73
- Artificial Intelligence 74
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 | 76 | |
| 2 | 2022 | 40 | |
| 3 | 2018 | 38 | |
| 4 | 2012 | 34 | |
| 5 | 2021 | 32 | |
| 6 | 2021 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2017 | 15 | |
| 9 | 2011 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2018 | 10 | |
| 13 | 2015 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 3 | |
| 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 360 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), Neuroscience and Neural Engineering (2 papers), Robotics and Sensor-Based Localization (2 papers), Neural Networks and Applications (2 papers), Digital Transformation in Industry (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (93 citations), Industrial and Manufacturing Engineering (39 citations), Human-Computer Interaction (20 citations), Control and Systems Engineering (73 citations) and Artificial Intelligence (74 citations). David Balderas has collaborated with scholars based in Mexico, United Kingdom and United States. Frequent co-authors include Arturo Molina, Pedro Ponce, Luis Arturo Soriano, Erik Zamora, Gerardo Hernández, Elisabeth V. C. Friedrich, Gernot Müller-Putz, Brendan Z. Allison, Josef Faller and Reinhold Scherer. Their work appears in journals such as Future Internet, Energies, The International Journal of Advanced Manufacturing Technology, Soft Computing and Expert Systems with Applications.
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.