Oscar Luaces

1.2k citations
40 papers · 729 · h-index 15

Impact in

Papers in

    • Recommender Systems and Techniques 5
    • Educational Technology and Assessment 4
    • Machine Learning and Data Classification 5
    • Text and Document Classification Technologies 5

Oscar Luaces

39 papers receiving 698 citations

Peers

Oscar Luaces
Comparison fields: 5 of 118
  • Artificial Intelligence 321
  • Computer Science Applications 42
  • Computer Vision and Pattern Recognition 151
  • Information Systems 166
  • Animal Science and Zoology 52
Replace Antonio Bahamonde with:
Antonio Bahamonde Spain
José Ramón Quevedo Spain
Zelin Hu China
Minghui Li China
Parteek Kumar India
Yun Xu China
R. Rizal Isnanto Indonesia
José Luís Reis Portugal
Wensheng Tang China
Keshav Kaushik India
Oscar Luaces relative to Antonio Bahamonde Spain Antonio Bahamonde's profile →
Citations per field
00.5×1.5×
Antonio Bahamonde · 1×
Citations per year

Countries citing papers authored by Oscar Luaces

Since Specialization
Citations

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

Fields of papers citing papers by Oscar Luaces

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012155
2 200164
3 201158
4 201743
5 200433
6 201828
7 200125
8 202022
9 200722
10 201520
11 200319
12 201119
13 200617
14 201616
15 200715
16 202214
17 201814
18 201614
19
Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM
200413
20 201713

About Oscar Luaces

Oscar Luaces is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Genetics and Food Science, having authored 40 papers that have together received 729 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (5 papers), Recommender Systems and Techniques (5 papers), Machine Learning and Data Classification (5 papers), Image Retrieval and Classification Techniques (5 papers), Text and Document Classification Technologies (5 papers), Genetic and phenotypic traits in livestock (4 papers), Student Assessment and Feedback (4 papers) and Educational Technology and Assessment (4 papers). The work is most often cited by research in Artificial Intelligence (321 citations), Computer Science Applications (42 citations), Computer Vision and Pattern Recognition (151 citations), Information Systems (166 citations) and Animal Science and Zoology (52 citations). Oscar Luaces has collaborated with scholars based in Spain, United States and China. Frequent co-authors include Antonio Bahamonde, Jorge Díez, Juan José del Coz, José Ramón Quevedo, Jaime Alonso, F. Goyache, José Ranilla, Shuchao Pang, Zhezhou Yu and Amparo Alonso‐Betanzos. Their work appears in journals such as Information Sciences, Expert Systems with Applications, Trends in Food Science & Technology, Knowledge-Based Systems and Meat Science.

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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