Pedestrian detection using wavelet templates2002 · 433 citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
2002Pedestrian detection using wavelet templates
2002Training support vector machines: an application to face detection
2002An improved training algorithm for support vector machines
1998IEEE Intelligent Systems and their Applications
This map shows the geographic impact of E. Osuna'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 E. Osuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Osuna more than expected).
This network shows the impact of papers produced by E. Osuna. 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 E. Osuna. The network helps show where E. Osuna may publish in the future.
Co-authors
The 10 scholars most cited alongside E. Osuna, 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 E. OsunaLine = papers co-authored togetherE. Osuna links everyone, so they are left out of the graph.
E. Osuna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Computational Mechanics, having authored 5 papers that have together received 7.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (2 papers), Machine Learning and Algorithms (2 papers), Neural Networks and Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Spam and Phishing Detection (1 paper) and Chaos control and synchronization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Artificial Intelligence (2.7k citations), Signal Processing (720 citations), Media Technology (428 citations) and Control and Systems Engineering (650 citations). E. Osuna has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Federico Girosi, Susan Dumais, Bernhard Schölkopf, John Platt, Marti A. Hearst, Robert M. Freund, Sayan Mukherjee, Tomaso Poggio, C. Papageorgiou and Michael B. Oren. Their work appears in journals such as IEEE Intelligent Systems and their Applications.
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.