Humberto Sossa
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Erik CuevasRoberto A. VázquezErik ZamoraLuis E. Falcón-MoralesMarco Pérez‐CisnerosDaniel ZaldívarValentín Osuna-EncisoBeatriz A. Garro
- Topics
- Neural Networks and Applications (34 papers)Image Retrieval and Classification Techniques (25 papers)Medical Image Segmentation Techniques (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorExpert Systems with Applications
In The Last Decade
Humberto Sossa
170 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 795
- Artificial Intelligence 712
- Electrical and Electronic Engineering 237
- Control and Systems Engineering 220
- Cognitive Neuroscience 201
Countries citing papers authored by Humberto Sossa
This map shows the geographic impact of Humberto Sossa'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 Humberto Sossa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Humberto Sossa more than expected).
Fields of papers citing papers by Humberto Sossa
This network shows the impact of papers produced by Humberto Sossa. 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 Humberto Sossa. The network helps show where Humberto Sossa may publish in the future.
Co-authorship network of co-authors of Humberto Sossa
This figure shows the co-authorship network connecting the top 25 collaborators of Humberto Sossa. A scholar is included among the top collaborators of Humberto Sossa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Humberto Sossa. Humberto Sossa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | Selección de acciones para la navegación de un robot móvil basada en fuzzy Q-learning | 0 |
| 14 | Image Segmentation based on an Iterative Computation of the Mean Shift Filtering for different values of window sizes | 5 |
| 15 | Character recognition system using the inverse order stroke information | 0 |
| 16 | Extended associative memories | 1 |
| 17 | 3 | |
| 18 | Extended αβ associative memories | 1 |
| 19 | 17 | |
| 20 | Object Classification Based on Associative Memories and Midpoint Operator | 1 |
About Humberto Sossa
Humberto Sossa is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 190 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (34 papers), Image Retrieval and Classification Techniques (25 papers) and Medical Image Segmentation Techniques (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (795 citations), Artificial Intelligence (712 citations) and Media Technology (159 citations). Humberto Sossa has collaborated with scholars based in Mexico, Cuba and Spain. Frequent co-authors include Erik Cuevas, Roberto A. Vázquez, Erik Zamora, Luis E. Falcón-Morales, Marco Pérez‐Cisneros, Daniel Zaldívar, Valentín Osuna-Enciso, Beatriz A. Garro, Elizabeth Guevara‐Gutiérrez and Alejandro Peña‐Ayala. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Expert Systems with 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.