Jonathan de Andrade Silva
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Eduardo R. HruschkaJoão GamaElaine R. FariaAndré C. P. L. F. de CarvalhoRodrigo C. BarrosWesley Nunes GonçalvesHemerson PistoriBruno Brandoli Machado
- Topics
- Data Stream Mining Techniques (10 papers)Advanced Clustering Algorithms Research (7 papers)Remote Sensing and LiDAR Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsACM Computing Surveys
In The Last Decade
Jonathan de Andrade Silva
24 papers receiving 667 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 418
- Signal Processing 175
- Computer Vision and Pattern Recognition 148
- Computer Networks and Communications 96
- Information Systems 60
Countries citing papers authored by Jonathan de Andrade Silva
This map shows the geographic impact of Jonathan de Andrade Silva'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 Jonathan de Andrade Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan de Andrade Silva more than expected).
Fields of papers citing papers by Jonathan de Andrade Silva
This network shows the impact of papers produced by Jonathan de Andrade Silva. 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 Jonathan de Andrade Silva. The network helps show where Jonathan de Andrade Silva may publish in the future.
Co-authorship network of co-authors of Jonathan de Andrade Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan de Andrade Silva. A scholar is included among the top collaborators of Jonathan de Andrade Silva 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 Jonathan de Andrade Silva. Jonathan de Andrade Silva 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 | 1 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 50 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 67 | |
| 16 | 15 | |
| 17 | 18 | |
| 18 | 27 | |
| 19 | 52 | |
| 20 | T ´ ECNICAS DE SEGMENTAC ¸ ˜ AO BASEADAS EM SUBTRAC ¸ ˜ AO DE FUNDO E MODELOS DE CORES: UM ESTUDO COMPARATIVO | 0 |
About Jonathan de Andrade Silva
Jonathan de Andrade Silva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 26 papers that have together received 694 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (10 papers), Advanced Clustering Algorithms Research (7 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Signal Processing (175 citations), Artificial Intelligence (418 citations) and Computer Vision and Pattern Recognition (148 citations). Jonathan de Andrade Silva has collaborated with scholars based in Brazil, Portugal and Canada. Frequent co-authors include Eduardo R. Hruschka, João Gama, Elaine R. Faria, André C. P. L. F. de Carvalho, Rodrigo C. Barros, Wesley Nunes Gonçalves, Hemerson Pistori, Bruno Brandoli Machado, José Marcato and Diogo Nunes Gonçalves. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and ACM Computing Surveys.
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.