Eulanda M. dos Santos
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Robert SabourinPatrick MaupinEduardo SoutoRafael GiustiJoão GamaJuan G. ColonnaKazuhiro FukuiEduardo Feitosa
- Topics
- Data Stream Mining Techniques (9 papers)Video Surveillance and Tracking Methods (8 papers)Face and Expression Recognition (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMExpert Systems with Applications
In The Last Decade
Eulanda M. dos Santos
50 papers receiving 628 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 423
- Computer Vision and Pattern Recognition 166
- Signal Processing 98
- Information Systems 97
- Computer Networks and Communications 81
Countries citing papers authored by Eulanda M. dos Santos
This map shows the geographic impact of Eulanda M. dos Santos'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 Eulanda M. dos Santos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eulanda M. dos Santos more than expected).
Fields of papers citing papers by Eulanda M. dos Santos
This network shows the impact of papers produced by Eulanda M. dos Santos. 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 Eulanda M. dos Santos. The network helps show where Eulanda M. dos Santos may publish in the future.
Co-authorship network of co-authors of Eulanda M. dos Santos
This figure shows the co-authorship network connecting the top 25 collaborators of Eulanda M. dos Santos. A scholar is included among the top collaborators of Eulanda M. dos Santos 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 Eulanda M. dos Santos. Eulanda M. dos Santos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 73 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | Identifying Students with Evasion Risk Using Data Mining | 2 |
| 17 | 4 | |
| 18 | 0 | |
| 19 | 34 | |
| 20 | 114 |
About Eulanda M. dos Santos
Eulanda M. dos Santos is a scholar working on Computational Mathematics, Developmental Biology and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 656 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (9 papers), Video Surveillance and Tracking Methods (8 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Computational Mathematics (11 citations), Artificial Intelligence (423 citations) and Developmental Biology (24 citations). Eulanda M. dos Santos has collaborated with scholars based in Brazil, Canada and Japan. Frequent co-authors include Robert Sabourin, Patrick Maupin, Eduardo Souto, Rafael Giusti, João Gama, Juan G. Colonna, Kazuhiro Fukui, Eduardo Feitosa, Eduardo F. Nakamura and Horácio A.B.F. Oliveira. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM 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.