Brais Martínez

3.5k citations
37 papers · 1.3k · h-index 18

Impact in

Papers in

Brais Martínez

35 papers receiving 1.3k citations

Peers

Brais Martínez
Comparison fields: 5 of 108
  • Computer Vision and Pattern Recognition 936
  • Experimental and Cognitive Psychology 481
  • Signal Processing 262
  • Human-Computer Interaction 103
  • Cognitive Neuroscience 151
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Miguel Bordallo López Finland
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Christos Sagonas United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Brais Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Brais Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010214
2 2017208
3 2015144
4 2013101
5 201294
6 201275
7 202169
8 201751
9 202037
10
Knowledge distillation via softmax regression representation learning
202132
11 201432
12 201532
13 202132
14 201727
15 201024
16 202323
17 201520
18 201519
19 201517
20
High-Capacity Expert Binary Networks
202116

About Brais Martínez

Brais Martínez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing and Cognitive Neuroscience, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face recognition and analysis (14 papers), Face and Expression Recognition (11 papers), Emotion and Mood Recognition (9 papers), Domain Adaptation and Few-Shot Learning (7 papers), Human Pose and Action Recognition (7 papers), Multimodal Machine Learning Applications (6 papers), Biometric Identification and Security (5 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (936 citations), Experimental and Cognitive Psychology (481 citations), Signal Processing (262 citations), Human-Computer Interaction (103 citations) and Cognitive Neuroscience (151 citations). Brais Martínez has collaborated with scholars based in United Kingdom, Netherlands and Spain. Frequent co-authors include Maja Pantić, Michel Valstar, Xavier Binefa, Bihan Jiang, Stavros Petridis, Georgios Tzimiropoulos, Adrian Bulat, Jing Yang, Pingchuan Ma and Timur Almaev. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Affective Computing, Bulletin of Environmental Contamination and Toxicology and IEEE Transactions on Cybernetics.

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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