Saúl Vargas

1.8k citations
19 papers · 866 indexed · 1 hit paper · h-index 10
Topics
Recommender Systems and Techniques (12 papers)Information Retrieval and Search Behavior (6 papers)Topic Modeling (5 papers)
Journals
ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)Biblos-e Archivo (Universidad Autónoma de Madrid)Text REtrieval Conference

In The Last Decade

Saúl Vargas

19 papers receiving 822 citations

Hit Papers

Rank and relevance in novelty and diversity metrics for r...20112026201620212011100200300400

Peers

Saúl Vargas
Comparison fields: 5 of 59
  • Information Systems 717
  • Artificial Intelligence 313
  • Management Science and Operations Research 290
  • Computer Vision and Pattern Recognition 182
  • Marketing 121
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Citations per field
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Citations per year

Countries citing papers authored by Saúl Vargas

Since Specialization
Citations

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

Fields of papers citing papers by Saúl Vargas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saúl Vargas

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 3
2
Learning Embeddings for Product Size Recommendations.
4
3 17
4 2
5 12
6 5
7 8
8
University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks
3
9
Analysing Compression Techniques for In-Memory Collaborative Filtering.
2
10 63
11 29
12 99
13 10
14 49
15
On the suitability of intent spaces for IR diversification
1
16 55
17
Novelty and diversity metrics for recommender systems: Choice, discovery and relevance
74
18
Rank and relevance in novelty and diversity metrics for recommender systemsbreakdown →
429
19
A Web Based Environment For Construction Planning Courses 1
1

About Saúl Vargas

Saúl Vargas is a scholar working on Information Systems, Marketing and Management Science and Operations Research, having authored 19 papers that have together received 866 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Information Retrieval and Search Behavior (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Information Systems (717 citations), Management Science and Operations Research (290 citations) and Marketing (121 citations). Saúl Vargas has collaborated with scholars based in Spain, United Kingdom and Greece. Frequent co-authors include Pablo Castells, David Vallet, Linas Baltrunas, Alexandros Karatzoglou, Jun Wang, Fabio Daolio, Iadh Ounis, Craig Macdonald, Rodrygo L. T. Santos and Peter Mika. Their work appears in journals such as ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam), Biblos-e Archivo (Universidad Autónoma de Madrid) and Text REtrieval Conference.

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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