Pablo Castells

6.6k citations
115 papers · 3.0k indexed · 1 hit paper · h-index 29

Pablo Castells

111 papers receiving 2.7k citations

Hit Papers

Rank and relevance in novelty and diversity metrics for r...4292011202620162021100200300400

Peers

Pablo Castells
Comparison fields: 5 of 100
  • Information Systems 2.3k
  • Management Science and Operations Research 741
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 534
  • Computer Science Applications 140
Replace Sean M. McNee with:
Sean M. McNee United States
Iván Cantador Spain
Christoph Freudenthaler Germany
Abraham Gutiérrez Spain
Xiaoyuan Su United States
Antonio Hernando Spain
Peter Bergström Sweden
J. Ben Schafer United States
Alejandro Bellogín Spain
Al Borchers United States
Pablo Castells relative to Sean M. McNee United States Sean M. McNee's profile →
Citations per field
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Sean M. McNee · 1×
Citations per year

Countries citing papers authored by Pablo Castells

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Castells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pablo Castells, 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 Pablo Castells Line = papers co-authored together Pablo Castells links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20222
4 202114
5 20189
6
Exploring social network effects on popularity biases in recommender systems
20143
7 20133
8
An evaluation of novelty and diversity based on fuzzy logic
20111
9 201155
10 201125
11 20112
12 20101
13 200834
14 200713
15
Towards Large-scale Non-taxonomic Relation Extraction: Estimating the Precision of Rote Extractors
20067
16
Automatic Annotation and Semantic Search from Protégé
20051
17
Un sistema de presentación dinámica en entornos web para representaciones personalizadas del conocimiento
20021
18 20019
19
Diseño interactivo de cursos adaptativos
20002
20 196023

About Pablo Castells

Pablo Castells is a scholar working on Information Systems, Management Science and Operations Research, Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 115 papers that have together received 3.0k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (74 papers), Advanced Bandit Algorithms Research (31 papers), Semantic Web and Ontologies (26 papers), Topic Modeling (22 papers), Information Retrieval and Search Behavior (18 papers), Image Retrieval and Classification Techniques (14 papers), Service-Oriented Architecture and Web Services (10 papers) and Natural Language Processing Techniques (10 papers). The work is most often cited by research in Information Systems (2.3k citations), Management Science and Operations Research (741 citations), Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (534 citations) and Computer Science Applications (140 citations). Pablo Castells has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Saúl Vargas, Iván Cantador, Alejandro Bellogín, David Vallet, Miriam Fernández, Rocío Cañamares, Enrico Motta, Vanessa López, María Ruiz-Casado and Enrique Alfonseca. Their work appears in journals such as Information Retrieval, Information Processing & Management, ACM Transactions on Information Systems, ACM SIGIR Forum and ACM Transactions on Intelligent Systems and Technology.

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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