Iván Cantador
Impact in
- Information Systems top 0.2%
- Recommender Systems and Techniques
- Computational Mathematics top 5%
Papers in
-
- Recommender Systems and Techniques 59
-
- Topic Modeling 23
- Semantic Web and Ontologies 20
- Advanced Graph Neural Networks 9
- Co-authors
- Alejandro BellogínPablo CastellsPeter BrusilovskyTsvi KuflikIgnacio Fernández-TobíasMaría E. Cortés-CedielFernando DíezPedro G. Campos
- Journals
- User Modeling and User-Adapted Interaction (4 papers)Journal of Web Semantics (2 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)ACM SIGIR Forum (2 papers)International Journal on Semantic Web and Information Systems (2 papers)
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Iván Cantador
89 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Information Systems 2.0k
- Computational Mathematics 25
- Artificial Intelligence 1.3k
- Management Science and Operations Research 439
- Computer Vision and Pattern Recognition 568
Countries citing papers authored by Iván Cantador
This map shows the geographic impact of Iván Cantador'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 Iván Cantador with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Cantador more than expected).
Fields of papers citing papers by Iván Cantador
This network shows the impact of papers produced by Iván Cantador. 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 Iván Cantador. The network helps show where Iván Cantador may publish in the future.
Co-authors
The 25 scholars most cited alongside Iván Cantador, 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 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 7 | |
| 4 | Exploiting Citation Knowledge in Personalised Recommendation of Recent Scientific Publications. | 2020 | 3 |
| 5 | 2020 | 2 | |
| 6 | 2019 | 65 | |
| 7 | 2018 | 51 | |
| 8 | 2018 | 3 | |
| 9 | Extracting Context Data from User Reviews for Recommendation: A Linked Data Approach. | 2017 | 1 |
| 10 | Exploiting Social Tags in Matrix Factorization Models for Cross-domain Collaborative Filtering | 2014 | 44 |
| 11 | 2014 | 25 | |
| 12 | A social tag-based dimensional model of emotions: Building cross-domain folksonomies | 2013 | 1 |
| 13 | Relating personality types with user preferences in multiple entertainment domains | 2013 | 65 |
| 14 | Proceedings of the 1st international workshop on Multimodal crowd sensing | 2012 | 1 |
| 15 | 2012 | 19 | |
| 16 | Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011) : 27th October 2011, Chicago, IL, USA | 2011 | 47 |
| 17 | Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems | 2010 | 11 |
| 18 | 2010 | 7 | |
| 19 | 2010 | 123 | |
| 20 | Measuring vertex centrality in co-occurrence graphs for online social tag recommendation | 2009 | 6 |
About Iván Cantador
Iván Cantador is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Transportation and Management Science and Operations Research, having authored 94 papers that have together received 2.8k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (59 papers), Topic Modeling (23 papers), Semantic Web and Ontologies (20 papers), Advanced Bandit Algorithms Research (10 papers), Image Retrieval and Classification Techniques (10 papers), Advanced Graph Neural Networks (9 papers), E-Government and Public Services (9 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). The work is most often cited by research in Information Systems (2.0k citations), Computational Mathematics (25 citations), Artificial Intelligence (1.3k citations), Management Science and Operations Research (439 citations) and Computer Vision and Pattern Recognition (568 citations). Iván Cantador has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Alejandro Bellogín, Pablo Castells, Peter Brusilovsky, Tsvi Kuflik, Ignacio Fernández-Tobías, María E. Cortés-Cediel, Fernando Díez, Pedro G. Campos, David Vallet and Miriam Fernández. Their work appears in journals such as User Modeling and User-Adapted Interaction, Journal of Web Semantics, ACM Transactions on Intelligent Systems and Technology, ACM SIGIR Forum and International Journal on Semantic Web and Information 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.