Martín Ugarte
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Juan L. ReutterDomagoj VrgočFernando SuárezStijn VansummerenMuhammad Zaffwan IdrisSteve ReevesFelipe Bravo-MárquezMarcelo Arenas
- Topics
- Advanced Database Systems and Queries (12 papers)Semantic Web and Ontologies (9 papers)Data Management and Algorithms (6 papers)
In The Last Decade
Martín Ugarte
20 papers receiving 422 citations
Peers
Comparison fields: 5 of 90
- Computer Networks and Communications 220
- Artificial Intelligence 153
- Information Systems 146
- Signal Processing 94
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Martín Ugarte
This map shows the geographic impact of Martín Ugarte'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 Martín Ugarte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Ugarte more than expected).
Fields of papers citing papers by Martín Ugarte
This network shows the impact of papers produced by Martín Ugarte. 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 Martín Ugarte. The network helps show where Martín Ugarte may publish in the future.
Co-authorship network of co-authors of Martín Ugarte
This figure shows the co-authorship network connecting the top 25 collaborators of Martín Ugarte. A scholar is included among the top collaborators of Martín Ugarte 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 Martín Ugarte. Martín Ugarte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 63 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 12 | |
| 11 | Designing a Query Language for RDF | 1 |
| 12 | 20 | |
| 13 | 45 | |
| 14 | 11 | |
| 15 | 4 | |
| 16 | 201 | |
| 17 | A preliminary investigation into SPARQL query complexity and federation in Bio2RDF | 2 |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 5 |
About Martín Ugarte
Martín Ugarte is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 20 papers that have together received 435 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (12 papers), Semantic Web and Ontologies (9 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Computer Networks and Communications (220 citations), Signal Processing (94 citations) and Information Systems (146 citations). Martín Ugarte has collaborated with scholars based in Belgium, Chile and Germany. Frequent co-authors include Juan L. Reutter, Domagoj Vrgoč, Fernando Suárez, Stijn Vansummeren, Muhammad Zaffwan Idris, Steve Reeves, Felipe Bravo-Márquez, Marcelo Arenas, Cristian Riveros and Hannes Voigt. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and ACM Transactions on Database Systems.
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.