Jesús Bernal

989 citations
6 papers · 676 · 1 hit paper · h-index 4

Impact in

Papers in

Jesús Bernal

5 papers receiving 640 citations

Jesús Bernal's Hit Papers

A collaborative filtering approach to mitigate the new user cold start problem 2011 · 326 citations
3260+5+10Years since publication100200300

Peers

Jesús Bernal
Comparison fields: 5 of 53
  • Information Systems 595
  • Computer Vision and Pattern Recognition 223
  • Management Science and Operations Research 135
  • Computer Science Applications 57
  • Transportation 46
Replace Seung-Taek Park with:
Seung-Taek Park United States
Saúl Vargas Spain
Wensi Xi United States
Georges Dupret United States
Mohammad Yahya H. Al-Shamri Saudi Arabia
Ewa Dominowska United States
Negar Hariri United States
Malte Ludewig Germany
Azin Ashkan Canada
Jesús Bernal relative to Seung-Taek Park United States Seung-Taek Park's profile →
Citations per field
00.5×1.5×2.3×
Seung-Taek Park · 1×
Citations per year

Countries citing papers authored by Jesús Bernal

Since Specialization
Citations

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

Fields of papers citing papers by Jesús Bernal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Jesús Bernal, 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 Jesús Bernal Line = papers co-authored together Jesús Bernal links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
A collaborative filtering approach to mitigate the new user cold start problem
Hit paper breakdown →
2011326
2 2010222
3 201193
4 201133
5 19952
6
La Transformada de Fourier. Una visión pedagógica
19990

About Jesús Bernal

Jesús Bernal is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Management Science and Operations Research, having authored 6 papers that have together received 676 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (4 papers), Speech Recognition and Synthesis (2 papers), Advanced Bandit Algorithms Research (2 papers), Image and Video Quality Assessment (2 papers), Data Management and Algorithms (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper), Phonetics and Phonology Research (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Information Systems (595 citations), Computer Vision and Pattern Recognition (223 citations), Management Science and Operations Research (135 citations), Computer Science Applications (57 citations) and Transportation (46 citations). Jesús Bernal has collaborated with scholars based in Spain. Frequent co-authors include Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Francisco Serradilla, Antonio Hernando, Mercedes Pérez, V. Rodellar and Pedro Gómez‐Vilda. Their work appears in journals such as Knowledge-Based Systems, Expert Systems with Applications, Conference of the International Speech Communication Association and Estudios de fonética experimental.

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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