Diego Seco
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Computational Geometry and Mesh Generation
Papers in
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- Data Management and Algorithms 25
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- Algorithms and Data Compression 22
- Co-authors
- Miguel R. Luaces (14 shared papers)Nieves R. Brisaboa (11 shared papers)Gonzalo Navarro (9 shared papers)Óscar Pedreira (11 shared papers)Francisco Claude (4 shared papers)Patrick K. Nicholson (3 shared papers)Leo Ferres (2 shared papers)M. Andrea Rodríguez (3 shared papers)
In The Last Decade
Diego Seco
43 papers receiving 246 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 112
- Computer Graphics and Computer-Aided Design 26
- Geography, Planning and Development 37
- Artificial Intelligence 146
- Computer Networks and Communications 84
Countries citing papers authored by Diego Seco
This map shows the geographic impact of Diego Seco'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 Diego Seco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Seco more than expected).
Fields of papers citing papers by Diego Seco
This network shows the impact of papers produced by Diego Seco. 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 Diego Seco. The network helps show where Diego Seco may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Seco, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 18 | |
| 2 | 2013 | 18 | |
| 3 | 2011 | 17 | |
| 4 | 2010 | 16 | |
| 5 | 2019 | 15 | |
| 6 | 2014 | 15 | |
| 7 | 2014 | 13 | |
| 8 | 2013 | 13 | |
| 9 | 2009 | 10 | |
| 10 | 2008 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2007 | 8 | |
| 15 | 2008 | 7 | |
| 16 | 2008 | 7 | |
| 17 | 2008 | 7 | |
| 18 | 2013 | 7 | |
| 19 | 2015 | 5 | |
| 20 | 2019 | 5 |
About Diego Seco
Diego Seco is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Geography, Planning and Development, having authored 49 papers that have together received 261 indexed citations. Recurring topics across this work include Data Management and Algorithms (25 papers), Algorithms and Data Compression (22 papers), Geographic Information Systems Studies (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Database Systems and Queries (7 papers), Computational Geometry and Mesh Generation (5 papers), Advanced Data Storage Technologies (5 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Signal Processing (112 citations), Computer Graphics and Computer-Aided Design (26 citations), Geography, Planning and Development (37 citations), Artificial Intelligence (146 citations) and Computer Networks and Communications (84 citations). Diego Seco has collaborated with scholars based in Spain, Chile and Canada. Frequent co-authors include Miguel R. Luaces, Nieves R. Brisaboa, Gonzalo Navarro, Óscar Pedreira, Francisco Claude, Patrick K. Nicholson, Leo Ferres, M. Andrea Rodríguez, Zheng Li and Alejandro López-Ortíz. Their work appears in journals such as IEEE Access, Lecture notes in computer science, Algorithmica, Forests and Pattern Recognition Letters.
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.