2026 Aleix M. Martinez: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	50	5463	5309	2493	2408	166	25547

Overview

Aleix M. Martinez is affiliated with The Ohio State University in the United States. Their primary field of study is Computer Science with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Computer Graphics and Computer-Aided Design, and Cognitive Neuroscience.

The scientist's research spans various topics, notably:

Generative Adversarial Networks and Image Synthesis
Digital Media Forensic Detection
AI in cancer detection
Image Retrieval and Classification Techniques
Computer Graphics and Visualization Techniques
Advanced Neural Network Applications
Advanced Image Processing Techniques

Among recent significant publications by Aleix M. Martinez are:

"When do GANs replicate? On the choice of dataset size," 2021, published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"Characterization of microglia behaviour in healthy and pathological conditions with image analysis tools," 2023, published in Open Biology
"Detail Me More: Improving GAN's photo-realism of complex scenes," 2021, published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"A fully automatic framework for evaluating cosmetic results of breast conserving therapy," 2022, published in Machine Learning with Applications
"The influence of spatial location on same-different judgments of facial identity and expression," 2020, published in Journal of Experimental Psychology Human Perception & Performance

Frequent publication venues for this researcher include:

arXiv (Cornell University)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Open Biology
Machine Learning with Applications
Journal of Experimental Psychology Human Perception & Performance

Collaborations are a regular part of their work, with frequent coauthors such as:

Qianli Feng
Fabian Benitez-Quiroz
Raghudeep Gadde
Chenqi Guo
Stuart Synakowski

Best Publications

The AR Face Database: CVC Technical Report, 24

Aleix Martinez;Robert Benavente

5233
Citations
The AR face database

A. M. Martinez

5133
Citations
PCA versus LDA

A.M. Martinez;A.C. Kak

4438
Citations
Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements:

Lisa Feldman Barrett;Ralph Adolphs;Stacy Marsella;Stacy Marsella;Aleix M. Martinez

1649
Citations
Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class

A.M. Martinez

1044
Citations
Compound facial expressions of emotion.

Shichuan Du;Yong Tao;Aleix M. Martinez

963
Citations
EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild

C. Fabian Benitez-Quiroz;Ramprakash Srinivasan;Aleix M. Martinez

652
Citations
GANimation: anatomically-aware facial animation from a single image

Albert Pumarola;Antonio Agudo;Aleix M. Martinez;Alberto Sanfeliu

648
Citations
Subclass discriminant analysis

Manli Zhu;A.M. Martinez

452
Citations
A model of the perception of facial expressions of emotion by humans: research overview and perspectives

Aleix Martinez;Shichuan Du

244
Citations
Where are linear feature extraction methods applicable

A.M. Martinez;Manli Zhu

192
Citations
Computing Smooth Time Trajectories for Camera and Deformable Shape in Structure from Motion with Occlusion

P. F. U. Gotardo;A. M. Martinez

180
Citations
Bayes Optimality in Linear Discriminant Analysis

O.C. Hamsici;A.M. Martinez

177
Citations
Features versus Context: An Approach for Precise and Detailed Detection and Delineation of Faces and Facial Features

Liya Ding;Aleix M Martinez

163
Citations
Support Vector Machines in face recognition with occlusions

Hongjun Jia;Aleix M Martinez

152
Citations
Robust motion estimation under varying illumination

Yeon-Ho Kim;Aleix M. Martínez;Avi C. Kak

140
Citations
Kernel non-rigid structure from motion

Paulo F. U. Gotardo;Aleix M. Martinez

138
Citations
Non-rigid structure from motion with complementary rank-3 spaces

Paulo F.U. Gotardo;Aleix M. Martinez

135
Citations
Emotion perception in emotionless face images suggests a norm-based representation.

Donald Neth;Aleix M. Martinez

130
Citations
Kernel Optimization in Discriminant Analysis

Di You;O C Hamsici;A M Martinez

127
Citations

Frequent Co-Authors

James T. Todd The Ohio State University

Sergio Escalera University of Barcelona

Alberto Sanfeliu Universitat Politècnica de Catalunya

Avinash C. Kak Purdue University West Lafayette

Francesc Moreno-Noguer Universitat Politècnica de Catalunya

Stacy Marsella Northeastern University

Ronnie B. Wilbur Purdue University West Lafayette

Vladimir M. Sloutsky The Ohio State University

Seth D. Pollak University of Wisconsin–Madison

Lisa Feldman Barrett Northeastern University

External Links

Personal website of Aleix M. Martinez Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Pursuing Computer Science opens doors to various related online degrees and alternative career pathways. For example, a data science degree is increasingly sought after, offering strong career prospects in analytics, machine learning, and business intelligence. Because of growing industry demand, these degrees have become more affordable and accessible, making them a smart choice for students interested in big data.

Technology enthusiasts can also explore an online electrical engineering degree ranking to find top programs that fit their career goals. Electrical engineering skills often overlap with computer science, particularly in areas like embedded systems and hardware development.

Those looking for quicker entry into the workforce may consider easy certifications that pay well. These certifications can fast-track your career and boost your earning potential without the commitment of a multi-year degree.

If you're interested in rapidly advancing your qualifications, you might explore shortest master degree programs. These accelerated options allow students to earn advanced credentials in less time, helping them quickly transition to higher-level positions in tech and engineering fields.