The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jacques Wainer sits on this spectrum.
This scientist: 163 publications — 32nd percentile
32% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jacques Wainer sits on this spectrum.
This scientist: 36 D-Index — 23rd percentile
23% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Jacques Wainer is a researcher affiliated with the State University of Campinas in Brazil, focusing primarily on computer science. Their work spans several key subfields including artificial intelligence, computer vision and pattern recognition, signal processing, genetics, and electrical and electronic engineering.
Their research topics are concentrated in areas such as machine learning and data classification, biometric identification and security, face recognition and analysis, anomaly detection techniques and applications, imbalanced data classification techniques, metaheuristic optimization algorithms research, and virus-based gene therapy research.
Wainer has authored multiple recent papers covering a range of subjects in these fields. Some notable publications include:
Wainer frequently collaborates with other researchers, including Anderson Rocha, Waldir R. De Almeida, Fernanda Andaló, Rafael Padilha, and Gabriel Bertocco. These collaborations have contributed to a body of work that has appeared multiple times in selected publication venues such as:
The main field of study for Wainer is computer science, with 23 publications mapped to this general discipline and a particular focus on 14 publications related to artificial intelligence. Their research contributions emphasize methodological and applied aspects of machine learning, verification and evaluation of algorithms, as well as practical issues such as data imbalance and hyperparameter tuning in support vector machines.
Anderson Rocha;Daniel C. Hauagge;Jacques Wainer;Siome Goldenstein
Clarence Ellis;Jacques Wainer
Clarence Ellis;Jacques Wainer
Jacques Wainer;Paulo Barthelmess;Akhil Kumar
Jacques Wainer;Gavin C. Cawley
van der Wmp Wil Aalst;P Barthelmess;CA Ellis;J Wainer
A. Rocha;T. Carvalho;H. F. Jelinek;S. Goldenstein
Z. Boulkenafet;J. Komulainen;Z. Akhtar;A. Benlamoudi
Jacques Wainer;Akhil Kumar;Paulo Barthelmess
Ramon Pires;Sandra Avila;Jacques Wainer;Eduardo Valle
Jacques Wainer;Akhil Kumar
FáBio Bezerra;Jacques Wainer
Wil M. P. van der Aalst;Wil M. P. van der Aalst;Paulo Barthelmess;Clarence A. Ellis;Jacques Wainer;Jacques Wainer
Fábio Bezerra;Jacques Wainer;W. M. P. van der Aalst
Jacques Wainer;Tom Dwyer;Rodrigo Silveira Dutra;Andre Covic
Ramon Pires;Herbert F. Jelinek;Jacques Wainer;Eduardo Valle
Fábio de Lima Bezerra;Jacques Wainer;Wil M. P. van der Aalst
J Wainer;M Weske;G Vossen;Medeiros C Bauzer
Gregório Baggio;Jacques Wainer;Clarence Ellis
Tiago Sak;Jacques Wainer;Siome Klein Goldenstein
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