Alejandro H. Toselli
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- Handwritten Text Recognition Techniques 76
- Image Processing and 3D Reconstruction 20
- Image Retrieval and Classification Techniques 15
- Advanced Image and Video Retrieval Techniques 8
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 40
- Media Technology top 2%
- Vehicle License Plate Recognition 8
- Signal Processing top 5%
- Music and Audio Processing 17
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 8
- Co-authors
- Enrique VidalVerónica RomeroJoan Andreu SánchezJoan PuigcerverJorge Calvo-ZaragozaByron Leite Dantas BezerraJ. SaavedraFrancisco Casacuberta
- Partner nations
- SpainBrazilUnited States
In The Last Decade
Alejandro H. Toselli
84 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 647
- Media Technology 169
- Signal Processing 198
- Human-Computer Interaction 92
Countries citing papers authored by Alejandro H. Toselli
This map shows the geographic impact of Alejandro H. Toselli'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 Alejandro H. Toselli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro H. Toselli more than expected).
Fields of papers citing papers by Alejandro H. Toselli
This network shows the impact of papers produced by Alejandro H. Toselli. 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 Alejandro H. Toselli. The network helps show where Alejandro H. Toselli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alejandro H. Toselli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 36 | |
| 8 | Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. | 2016 | 4 |
| 9 | 2016 | 14 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 11 | |
| 12 | 2013 | 27 | |
| 13 | 2012 | 4 | |
| 14 | 2012 | 40 | |
| 15 | 2010 | 1 | |
| 16 | 2010 | 10 | |
| 17 | 2010 | 2 | |
| 18 | 2009 | 57 | |
| 19 | Mondo giovanile: una ricerca sui disturbi del comportamento alimentare e sociale | 2006 | 0 |
| 20 | 2006 | 52 |
About Alejandro H. Toselli
Alejandro H. Toselli is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (76 papers), Natural Language Processing Techniques (40 papers), Image Processing and 3D Reconstruction (20 papers), Music and Audio Processing (17 papers), Image Retrieval and Classification Techniques (15 papers), Vehicle License Plate Recognition (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Hand Gesture Recognition Systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (647 citations) and Media Technology (169 citations). Alejandro H. Toselli has collaborated with scholars based in Spain, Brazil and United States. Frequent co-authors include Enrique Vidal, Verónica Romero, Joan Andreu Sánchez, Joan Puigcerver, Jorge Calvo-Zaragoza, Byron Leite Dantas Bezerra, J. Saavedra, Francisco Casacuberta, Mauricio Villegas and Estanislau Lima. Their work appears in journals such as IEEE Access, Pattern Recognition and Information Sciences.
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.