David Vallet

2.3k total citations
41 papers, 1.1k citations indexed

About

David Vallet is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Vallet has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 20 papers in Artificial Intelligence and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Vallet's work include Recommender Systems and Techniques (16 papers), Semantic Web and Ontologies (14 papers) and Information Retrieval and Search Behavior (12 papers). David Vallet is often cited by papers focused on Recommender Systems and Techniques (16 papers), Semantic Web and Ontologies (14 papers) and Information Retrieval and Search Behavior (12 papers). David Vallet collaborates with scholars based in Spain, United Kingdom and Australia. David Vallet's co-authors include Pablo Castells, Miriam Fernández, Iván Cantador, Alejandro Bellogín, Vanessa López, Enrico Motta, Saúl Vargas, Yannis Avrithis, Joemon M. Jose and Phivos Mylonas and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Circuits and Systems for Video Technology and Information Processing & Management.

In The Last Decade

David Vallet

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Vallet Spain 16 732 671 266 145 138 41 1.1k
Bruce Croft United States 12 783 1.1× 886 1.3× 190 0.7× 200 1.4× 132 1.0× 25 1.3k
Olga Vechtomova Canada 14 661 0.9× 706 1.1× 208 0.8× 141 1.0× 90 0.7× 48 1.1k
Ben He China 23 910 1.2× 1.2k 1.8× 250 0.9× 164 1.1× 119 0.9× 77 1.5k
Stefan Büttcher Canada 13 855 1.2× 742 1.1× 249 0.9× 293 2.0× 270 2.0× 17 1.3k
Sung Hyon Myaeng South Korea 19 693 0.9× 1.2k 1.7× 231 0.9× 159 1.1× 103 0.7× 61 1.5k
Xuehua Shen United States 12 830 1.1× 616 0.9× 175 0.7× 201 1.4× 149 1.1× 17 1.2k
Roi Blanco Spain 20 640 0.9× 805 1.2× 130 0.5× 167 1.2× 226 1.6× 74 1.2k
Pável Calado Portugal 22 625 0.9× 703 1.0× 140 0.5× 213 1.5× 140 1.0× 64 1.2k
Rodrygo L. T. Santos Brazil 18 1.1k 1.4× 730 1.1× 318 1.2× 227 1.6× 178 1.3× 72 1.4k
Oren Kurland Israel 20 1.1k 1.5× 1.1k 1.6× 343 1.3× 255 1.8× 107 0.8× 94 1.5k

Countries citing papers authored by David Vallet

Since Specialization
Citations

This map shows the geographic impact of David Vallet'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 Vallet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Vallet more than expected).

Fields of papers citing papers by David Vallet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Vallet. 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 Vallet. The network helps show where David Vallet may publish in the future.

Co-authorship network of co-authors of David Vallet

This figure shows the co-authorship network connecting the top 25 collaborators of David Vallet. A scholar is included among the top collaborators of David Vallet 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 Vallet. David Vallet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Scholer, Falk, et al.. (2016). Examining Additivity and Weak Baselines. ACM Transactions on Information Systems. 34(4). 1–18. 19 indexed citations
2.
Halvey, Martin, David Vallet, David M. Hannah, & Joemon M. Jose. (2014). Supporting exploratory video retrieval tasks with grouping and recommendation. Information Processing & Management. 50(6). 876–898. 9 indexed citations
3.
Vallet, David & Pablo Castells. (2012). Personalized diversification of search results. 841–850. 48 indexed citations
4.
Vargas, Saúl, Pablo Castells, & David Vallet. (2011). Intent-oriented diversity in recommender systems. Biblos-e Archivo (Universidad Autónoma de Madrid). 1211–1212. 55 indexed citations
5.
Fernández, Miriam, Iván Cantador, Vanessa López, et al.. (2011). Semantically Enhanced Information Retrieval: An Ontology-Based Approach. SSRN Electronic Journal. 15 indexed citations
6.
Berendt, Bettina, et al.. (2011). USEWOD2011. 305–306. 7 indexed citations
7.
Vallet, David. (2011). Crowdsourced Evaluation of Personalization and Diversi- fication Techniques in Web Search. 7 indexed citations
8.
Vallet, David & Pablo Castells. (2011). On diversifying and personalizing web search. Biblos-e Archivo (Universidad Autónoma de Madrid). 1157–1158. 4 indexed citations
9.
Cantador, Iván, Alejandro Bellogín, & David Vallet. (2010). Content-based recommendation in social tagging systems. Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya). 237–240. 123 indexed citations
10.
Cantador, Iván, et al.. (2010). 1 st International Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESW 2010). 1 indexed citations
11.
Vallet, David, et al.. (2010). Inferring user intent in web search by exploiting social annotations. Biblos-e Archivo (Universidad Autónoma de Madrid). 827–828. 1 indexed citations
12.
Fernández, Miriam, Iván Cantador, Vanessa López, et al.. (2010). Semantically enhanced Information Retrieval: An ontology-based approach. Journal of Web Semantics. 9(4). 434–452. 142 indexed citations
13.
Cantador, Iván, David Vallet, & Joemon M. Jose. (2009). Measuring vertex centrality in co-occurrence graphs for online social tag recommendation. 17–33. 6 indexed citations
14.
Vallet, David, et al.. (2008). Personalized information retrieval based on context and ontological knowledge. The Knowledge Engineering Review. 23(1). 73–100. 34 indexed citations
15.
Vallet, David, Frank Hopfgartner, Martin Halvey, & Joemon M. Jose. (2008). Community based feedback techniques to improve video search. Signal Image and Video Processing. 2(4). 289–306. 2 indexed citations
16.
Hopfgartner, Frank, David Vallet, Martin Halvey, & Joemon M. Jose. (2008). Search trails using user feedback to improve video search. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 339–348. 18 indexed citations
17.
Vallet, David, et al.. (2007). Personalized Content Retrieval in Context Using Ontological Knowledge. IEEE Transactions on Circuits and Systems for Video Technology. 17(3). 336–346. 57 indexed citations
18.
Castells, Pablo, Miriam Fernández, & David Vallet. (2007). An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval. IEEE Transactions on Knowledge and Data Engineering. 19(2). 261–272. 274 indexed citations
19.
Cantador, Iván, Pablo Castells, & David Vallet. (2006). Enriching Group Profiles with Ontologies for Knowledge-Driven Colalborative Content Retrieval. Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya). 358–363. 7 indexed citations
20.
Vallet, David, Iván Cantador, Miriam Fernández, & Pablo Castells. (2006). A Multi-Purpose Ontology-Based Approach for Personalized Content Filtering and Retrieval. Open Research Online (The Open University). 19–24. 11 indexed citations

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.

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