David Vallet

2.4k citations
42 papers · 1.1k · h-index 16

Impact in

Papers in

    • Recommender Systems and Techniques 17
    • Information Retrieval and Search Behavior 12
    • Web Data Mining and Analysis 6
    • Service-Oriented Architecture and Web Services 5
    • Semantic Web and Ontologies 14

David Vallet

41 papers receiving 1.0k citations

Peers

David Vallet
Comparison fields: 5 of 68
  • Information Systems 736
  • Artificial Intelligence 670
  • Signal Processing 145
  • Computer Vision and Pattern Recognition 273
  • Management Science and Operations Research 134
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Citations per year

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-authors

The 25 scholars most cited alongside David Vallet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Vallet Line = papers co-authored together David Vallet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007275
2 2010143
3 2010124
4 200857
5 200757
6 201156
7 201250
8 201248
9 200834
10 201528
11 201619
12 200819
13 200818
14
Using TREC for cross-comparison between classic IR and ontology-based search models at a Web scale
200917
15 201016
16 201115
17 200914
18
Personalized information retrieval in context
200613
19
A contextual personalization approach based on ontological knowledge
200613
20 200611

About David Vallet

David Vallet is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science and Signal Processing, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Semantic Web and Ontologies (14 papers), Information Retrieval and Search Behavior (12 papers), Video Analysis and Summarization (10 papers), Image Retrieval and Classification Techniques (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Web Data Mining and Analysis (6 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Information Systems (736 citations), Artificial Intelligence (670 citations), Signal Processing (145 citations), Computer Vision and Pattern Recognition (273 citations) and Management Science and Operations Research (134 citations). David Vallet has collaborated with scholars based in Spain, United Kingdom and Australia. Frequent co-authors include Pablo Castells, Miriam Fernández, Iván Cantador, Alejandro Bellogín, Enrico Motta, Saúl Vargas, Vanessa López, Yannis Avrithis, Joemon M. Jose and Phivos Mylonas. Their work appears in journals such as ACM Transactions on Information Systems, Information Processing & Management, IEEE Transactions on Knowledge and Data Engineering, ACM SIGIR Forum and Journal of Web Semantics.

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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