Manassés Ribeiro
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Control and Systems Engineering
- Topics
- Anomaly Detection Techniques and Applications (7 papers)Network Security and Intrusion Detection (5 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Journals
- IEEE AccessPattern Recognition LettersInternational Journal of Pattern Recognition and Artificial Intelligence
- Partner nations
- Brazil
In The Last Decade
Manassés Ribeiro
11 papers receiving 261 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 194
- Computer Vision and Pattern Recognition 129
- Computer Networks and Communications 88
- Biomedical Engineering 37
- Control and Systems Engineering 34
Countries citing papers authored by Manassés Ribeiro
This map shows the geographic impact of Manassés Ribeiro'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 Manassés Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manassés Ribeiro more than expected).
Fields of papers citing papers by Manassés Ribeiro
This network shows the impact of papers produced by Manassés Ribeiro. 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 Manassés Ribeiro. The network helps show where Manassés Ribeiro may publish in the future.
Co-authorship network of co-authors of Manassés Ribeiro
This figure shows the co-authorship network connecting the top 25 collaborators of Manassés Ribeiro. A scholar is included among the top collaborators of Manassés Ribeiro 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 Manassés Ribeiro. Manassés Ribeiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 20 | |
| 7 | 2 | |
| 8 | 202 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 |
About Manassés Ribeiro
Manassés Ribeiro is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 268 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (5 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (129 citations), Artificial Intelligence (194 citations) and Computer Networks and Communications (88 citations). Manassés Ribeiro has collaborated with scholars based in Brazil. Frequent co-authors include Heitor Silvério Lopes, André Eugênio Lazzaretti and Jefferson Luiz Brum Marques. Their work appears in journals such as IEEE Access, Pattern Recognition Letters and International Journal of Pattern Recognition and Artificial Intelligence.
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.