Manassés Ribeiro
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Digital Media Forensic Detection
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
Papers in
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- Anomaly Detection Techniques and Applications 7
- Evolutionary Algorithms and Applications 3
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- Network Security and Intrusion Detection 5
- Co-authors
- Heitor Silvério Lopes (11 shared papers)André Eugênio Lazzaretti (6 shared papers)Jefferson Luiz Brum Marques (1 shared paper)
- Journals
- Pattern Recognition Letters (1 paper)IEEE Access (1 paper)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)
- Partner nations
- Brazil
In The Last Decade
Manassés Ribeiro
11 papers receiving 267 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 129
- Artificial Intelligence 197
- Computer Networks and Communications 90
- Signal Processing 20
- Safety, Risk, Reliability and Quality 16
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-authors
The 3 scholars most cited alongside Manassés Ribeiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 206 | |
| 2 | 2018 | 20 | |
| 3 | 2017 | 13 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 10 | |
| 6 | 2002 | 4 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 3 | |
| 9 | 2017 | 2 | |
| 10 | 2017 | 1 | |
| 11 | 2015 | 1 | |
| 12 | 2020 | 0 |
About Manassés Ribeiro
Manassés Ribeiro is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Plant Science and Biomedical Engineering, having authored 12 papers that have together received 273 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (5 papers), Evolutionary Algorithms and Applications (3 papers), Digital Media Forensic Detection (3 papers), Artificial Immune Systems Applications (2 papers), Smart Agriculture and AI (2 papers), Face and Expression Recognition (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (129 citations), Artificial Intelligence (197 citations), Computer Networks and Communications (90 citations), Signal Processing (20 citations) and Safety, Risk, Reliability and Quality (16 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 Pattern Recognition Letters, IEEE Access 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.