Y. Yurramendi
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Signal Processing
- Co-authors
- C.M.H. KuijpersPedro LarrañagaNicolás GoñiGuillermo BoyraCarmen HernándezJosé A. FernandesJosu SantiagoIgor Arregui
- Topics
- AI-based Problem Solving and Planning (3 papers)Bayesian Modeling and Causal Inference (2 papers)Marine animal studies overview (1 paper)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputational Theory and Mathematics
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
- Partner nations
- SpainUnited KingdomPortugal
In The Last Decade
Y. Yurramendi
4 papers receiving 405 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 336
- Management Science and Operations Research 91
- Information Systems 85
- Computational Theory and Mathematics 71
- Signal Processing 40
Countries citing papers authored by Y. Yurramendi
This map shows the geographic impact of Y. Yurramendi'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 Y. Yurramendi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Yurramendi more than expected).
Fields of papers citing papers by Y. Yurramendi
This network shows the impact of papers produced by Y. Yurramendi. 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 Y. Yurramendi. The network helps show where Y. Yurramendi may publish in the future.
Co-authorship network of co-authors of Y. Yurramendi
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Yurramendi. A scholar is included among the top collaborators of Y. Yurramendi 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 Y. Yurramendi. Y. Yurramendi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 2 | |
| 3 | 169 | |
| 4 | 244 |
About Y. Yurramendi
Y. Yurramendi is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 4 papers that have together received 432 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Marine animal studies overview (1 paper). The work is most often cited by research in Artificial Intelligence (336 citations), Management Science and Operations Research (91 citations) and Computational Theory and Mathematics (71 citations). Y. Yurramendi has collaborated with scholars based in Spain, United Kingdom and Portugal. Frequent co-authors include C.M.H. Kuijpers, Pedro Larrañaga, Nicolás Goñi, Guillermo Boyra, Carmen Hernández, José A. Fernandes, Josu Santiago, Igor Arregui, Haritz Arrizabalaga and Basilio Sierra. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.
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.