Leonardo Vidal Batista
- Computer Vision and Pattern Recognition top 10%
- Cardiology and Cardiovascular Medicine
- Signal Processing top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Elmar U. K. MelcherLuiz S. OliveiraEdson JustinoRicharde Marques da SilvaCelso Augusto Guimarães SantosThaís G. do RêgoHerman Martins GomesVinicius Maracaja‐Coutinho
- Topics
- Biometric Identification and Security (11 papers)Advanced Data Compression Techniques (5 papers)Face and Expression Recognition (5 papers)
In The Last Decade
Leonardo Vidal Batista
37 papers receiving 298 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 133
- Cardiology and Cardiovascular Medicine 91
- Signal Processing 89
- Biomedical Engineering 66
- Artificial Intelligence 64
Countries citing papers authored by Leonardo Vidal Batista
This map shows the geographic impact of Leonardo Vidal Batista'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 Leonardo Vidal Batista with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Vidal Batista more than expected).
Fields of papers citing papers by Leonardo Vidal Batista
This network shows the impact of papers produced by Leonardo Vidal Batista. 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 Leonardo Vidal Batista. The network helps show where Leonardo Vidal Batista may publish in the future.
Co-authorship network of co-authors of Leonardo Vidal Batista
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Vidal Batista. A scholar is included among the top collaborators of Leonardo Vidal Batista 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 Leonardo Vidal Batista. Leonardo Vidal Batista is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 10 | |
| 18 | 15 | |
| 19 | 10 | |
| 20 | 13 |
About Leonardo Vidal Batista
Leonardo Vidal Batista is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Safety Research, having authored 40 papers that have together received 321 indexed citations. Recurring topics across this work include Biometric Identification and Security (11 papers), Advanced Data Compression Techniques (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Signal Processing (89 citations), Computer Vision and Pattern Recognition (133 citations) and Cardiology and Cardiovascular Medicine (91 citations). Leonardo Vidal Batista has collaborated with scholars based in Brazil, Algeria and India. Frequent co-authors include Elmar U. K. Melcher, Luiz S. Oliveira, Edson Justino, Richarde Marques da Silva, Celso Augusto Guimarães Santos, Thaís G. do Rêgo, Herman Martins Gomes, Vinicius Maracaja‐Coutinho, Sávio Torres de Farías and Manoranjan Mishra. Their work appears in journals such as PLoS ONE, The Science of The Total Environment 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.