Óscar Reyes

745 citations
20 papers · 541 indexed · h-index 12
Topics
Text and Document Classification Technologies (6 papers)Machine Learning and Data Classification (5 papers)Machine Learning and Algorithms (4 papers)
Partner nations
SpainSaudi ArabiaCuba

In The Last Decade

Óscar Reyes

20 papers receiving 529 citations

Peers

Óscar Reyes
Comparison fields: 5 of 111
  • Artificial Intelligence 342
  • Computer Vision and Pattern Recognition 130
  • Information Systems 60
  • Molecular Biology 58
  • Oncology 43
Replace Junhua Zhang with:
Junhua Zhang China
Zhengang Jiang China
Yadi Wang China
Matthias Elter Germany
Hongbo Du United Kingdom
Kesari Verma India
Jinze Liu China
Luis de la Ossa Spain
Óscar Reyes relative to Junhua Zhang China Junhua Zhang's profile →
Citations per field
00.5×10×14.5×
Junhua Zhang · 1×
Citations per year

Countries citing papers authored by Óscar Reyes

Since Specialization
Citations

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

Fields of papers citing papers by Óscar Reyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Óscar Reyes

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 9
4 6
5 16
6 49
7 10
8 18
9 49
10 44
11 8
12 3
13 31
14 52
15 13
16
JCLAL: a Java framework for active learning
13
17 22
18 156
19 34
20 4

About Óscar Reyes

Óscar Reyes is a scholar working on Artificial Intelligence, Software and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 541 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (6 papers), Machine Learning and Data Classification (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (342 citations), Computer Vision and Pattern Recognition (130 citations) and Information Systems (60 citations). Óscar Reyes has collaborated with scholars based in Spain, Saudi Arabia and Cuba. Frequent co-authors include Sebastián Ventura, Carlos Morell, Abdulrahman Altalhi, Habib M. Fardoun, Andrea Wiencierz, Johannes Lorscheider, Ludwig Kappos, Pasquale Calabrese, Jose M. Moyano and Yvonne Naegelin. Their work appears in journals such as Information Sciences, International Journal of Computer Vision and Neurocomputing.

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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