David Domínguez
Impact in
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- stochastic dynamics and bifurcation
- Complex Network Analysis Techniques
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
Papers in
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- stochastic dynamics and bifurcation 5
- Complex Network Analysis Techniques 4
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- Neural dynamics and brain function 15
- Co-authors
- Mario GonzálezW. K. TheumannFrancisco B. Rodrı́guezD. BolléÁngel SánchezMaría del Mar Alonso‐AlmeidaEduardo SerranoШун-ичи Амари
In The Last Decade
David Domínguez
32 papers receiving 229 citations
Peers
Comparison fields: 5 of 71
- Statistical and Nonlinear Physics 54
- Artificial Intelligence 124
- Cognitive Neuroscience 69
- Condensed Matter Physics 21
- Signal Processing 19
Countries citing papers authored by David Domínguez
This map shows the geographic impact of David Domínguez'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 Domínguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Domínguez more than expected).
Fields of papers citing papers by David Domínguez
This network shows the impact of papers produced by David Domínguez. 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 Domínguez. The network helps show where David Domínguez may publish in the future.
Co-authorship network
The 15 scholars most cited alongside David Domínguez, 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 | 2025 | 0 | |
| 2 | 2020 | 13 | |
| 3 | 2019 | 0 | |
| 4 | 2017 | 14 | |
| 5 | 2016 | 3 | |
| 6 | 2014 | 7 | |
| 7 | 2011 | 4 | |
| 8 | 2011 | 6 | |
| 9 | 2009 | 12 | |
| 10 | 2009 | 7 | |
| 11 | 2007 | 14 | |
| 12 | Associative Memory: Information and Topology | 2006 | 1 |
| 13 | 2003 | 2 | |
| 14 | 2000 | 16 | |
| 15 | 2000 | 10 | |
| 16 | 1999 | 2 | |
| 17 | 1998 | 6 | |
| 18 | 1997 | 11 | |
| 19 | 1996 | 7 | |
| 20 | 1989 | 2 |
About David Domínguez
David Domínguez is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Artificial Intelligence, Condensed Matter Physics and Signal Processing, having authored 36 papers that have together received 241 indexed citations. Recurring topics across this work include Neural Networks and Applications (22 papers), Neural dynamics and brain function (15 papers), Neural Networks and Reservoir Computing (5 papers), stochastic dynamics and bifurcation (5 papers), Theoretical and Computational Physics (5 papers), Complex Network Analysis Techniques (4 papers), Face and Expression Recognition (4 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (54 citations), Artificial Intelligence (124 citations), Cognitive Neuroscience (69 citations), Condensed Matter Physics (21 citations) and Signal Processing (19 citations). David Domínguez has collaborated with scholars based in Spain, Brazil and Ecuador. Frequent co-authors include Mario González, W. K. Theumann, Francisco B. Rodrı́guez, D. Bollé, Ángel Sánchez, María del Mar Alonso‐Almeida, Eduardo Serrano, Шун-ичи Амари, Jürgen Dunkel and S. G. Magalhães. Their work appears in journals such as Neurocomputing, Physica A Statistical Mechanics and its Applications, Expert Systems with Applications, Physical review. B, Condensed matter and Sustainability.
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.