David Domínguez-Sal
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Josep-L. Larriba-PeyArnau Prat-PèrezRenzo AnglesNorbert Martínez-BazánVíctor Muntés-MuleroMihai SurdeanuSergio Gómez-VillamorMarta Pérez‐Casany
- Topics
- Complex Network Analysis Techniques (7 papers)Caching and Content Delivery (5 papers)Peer-to-Peer Network Technologies (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsComputer Vision and Pattern Recognition
In The Last Decade
David Domínguez-Sal
23 papers receiving 298 citations
Peers
Comparison fields: 5 of 45
- Statistical and Nonlinear Physics 168
- Artificial Intelligence 137
- Computer Networks and Communications 127
- Computer Vision and Pattern Recognition 93
- Information Systems 56
Countries citing papers authored by David Domínguez-Sal
This map shows the geographic impact of David Domínguez-Sal'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-Sal 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-Sal more than expected).
Fields of papers citing papers by David Domínguez-Sal
This network shows the impact of papers produced by David Domínguez-Sal. 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-Sal. The network helps show where David Domínguez-Sal may publish in the future.
Co-authorship network of co-authors of David Domínguez-Sal
This figure shows the co-authorship network connecting the top 25 collaborators of David Domínguez-Sal. A scholar is included among the top collaborators of David Domínguez-Sal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Domínguez-Sal. David Domínguez-Sal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 26 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 31 | |
| 8 | 8 | |
| 9 | 38 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 0 | |
| 17 | A machine learning approach for factoid question answering | 3 |
| 18 | 6 | |
| 19 | TALP-UPC at TREC 2005: Experiments Using a Voting Scheme Among Three Heterogeneous QA Systems | 1 |
| 20 | 3 |
About David Domínguez-Sal
David Domínguez-Sal is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 24 papers that have together received 308 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Caching and Content Delivery (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (168 citations), Computer Networks and Communications (127 citations) and Computer Vision and Pattern Recognition (93 citations). David Domínguez-Sal has collaborated with scholars based in Spain, France and Chile. Frequent co-authors include Josep-L. Larriba-Pey, Arnau Prat-Pèrez, Renzo Angles, Norbert Martínez-Bazán, Víctor Muntés-Mulero, Mihai Surdeanu, Sergio Gómez-Villamor, Marta Pérez‐Casany, Patrick Valduriez and Juan A. Subirana. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Proceedings of the VLDB Endowment and ACM SIGMOD Record.
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.