Leandro A. Passos
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- João Paulo PapaKelton Augusto Pontara da CostaVictor Hugo C. de AlbuquerqueDouglas RodriguesDinesh KumarTiago CarvalhoEdmar RezendeAndré Nunes de Souza
- Topics
- Electricity Theft Detection Techniques (12 papers)Anomaly Detection Techniques and Applications (9 papers)Generative Adversarial Networks and Image Synthesis (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth Information ManagementArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysIEEE Transactions on Fuzzy Systems
- Partner nations
- BrazilUnited KingdomSpain
In The Last Decade
Leandro A. Passos
44 papers receiving 650 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 229
- Artificial Intelligence 211
- Radiology, Nuclear Medicine and Imaging 142
- Electrical and Electronic Engineering 140
- Biomedical Engineering 73
Countries citing papers authored by Leandro A. Passos
This map shows the geographic impact of Leandro A. Passos'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 Leandro A. Passos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leandro A. Passos more than expected).
Fields of papers citing papers by Leandro A. Passos
This network shows the impact of papers produced by Leandro A. Passos. 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 Leandro A. Passos. The network helps show where Leandro A. Passos may publish in the future.
Co-authorship network of co-authors of Leandro A. Passos
This figure shows the co-authorship network connecting the top 25 collaborators of Leandro A. Passos. A scholar is included among the top collaborators of Leandro A. Passos 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 Leandro A. Passos. Leandro A. Passos 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 | 6 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 31 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | 63 | |
| 12 | 1 | |
| 13 | 37 | |
| 14 | 16 | |
| 15 | 33 | |
| 16 | 24 | |
| 17 | 3 | |
| 18 | 28 | |
| 19 | 101 | |
| 20 | 4 |
About Leandro A. Passos
Leandro A. Passos is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 48 papers that have together received 666 indexed citations. Recurring topics across this work include Electricity Theft Detection Techniques (12 papers), Anomaly Detection Techniques and Applications (9 papers) and Generative Adversarial Networks and Image Synthesis (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Health Information Management (39 citations) and Artificial Intelligence (211 citations). Leandro A. Passos has collaborated with scholars based in Brazil, United Kingdom and Spain. Frequent co-authors include João Paulo Papa, Kelton Augusto Pontara da Costa, Victor Hugo C. de Albuquerque, Douglas Rodrigues, Dinesh Kumar, Tiago Carvalho, Edmar Rezende, André Nunes de Souza, Parham Khojasteh and Behzad Aliahmad. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Fuzzy Systems.
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.