Bruno Baruque

938 citations
30 papers · 452 · h-index 12

Impact in

Papers in

Bruno Baruque

28 papers receiving 435 citations

Peers

Bruno Baruque
Comparison fields: 5 of 112
  • Artificial Intelligence 174
  • Signal Processing 54
  • Computer Vision and Pattern Recognition 100
  • Industrial and Manufacturing Engineering 48
  • Computer Networks and Communications 75
Replace Kunal Gupta with:
Kunal Gupta India
Khalid Almohammadi Saudi Arabia
Saptarshi Sengupta United States
Esra’a Alkafaween Jordan
G. Maragatham India
Bryar A. Hassan Iraq
Mohamed Youssfi Morocco
Youssef Ghanou Morocco
Jinghuan Guo China
Timo Müller Germany
Bruno Baruque relative to Kunal Gupta India Kunal Gupta's profile →
Citations per field
00.5×5.7×
Kunal Gupta · 1×
Citations per year

Countries citing papers authored by Bruno Baruque

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Baruque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201546
2 201546
3 201544
4 201039
5 201935
6 201132
7 201329
8 201828
9 201124
10 201223
11 201423
12 201019
13 20119
14 20219
15 20228
16 20117
17 20107
18 20125
19 20224
20 20113

About Bruno Baruque

Bruno Baruque is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Control and Systems Engineering, having authored 30 papers that have together received 452 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Face and Expression Recognition (3 papers), Advanced Computational Techniques and Applications (3 papers), Image Retrieval and Classification Techniques (2 papers), Fermentation and Sensory Analysis (1 paper), Data Management and Algorithms (1 paper), Vehicle emissions and performance (1 paper) and Advanced Manufacturing and Logistics Optimization (1 paper). The work is most often cited by research in Artificial Intelligence (174 citations), Signal Processing (54 citations), Computer Vision and Pattern Recognition (100 citations), Industrial and Manufacturing Engineering (48 citations) and Computer Networks and Communications (75 citations). Bruno Baruque has collaborated with scholars based in Spain, Czechia and United States. Frequent co-authors include Emilio Corchado, Álvaro Herrero, Javier Sedano, Héctor Quintián, Juan M. Corchado, José Luis Calvo‐Rolle, Esteban Jove, José R. Villar, Ajith Abraham and Joaquı́n Pacheco. Their work appears in journals such as Neurocomputing, Information Sciences, Logic Journal of IGPL, International Journal of Neural Systems and JMIR mhealth and uhealth.

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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