João C. Neves
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Building and Construction top 10%
- Co-authors
- Hugo ProençaLuís F. TeixeiraSilvio BarraRui Amaral LopesJoão MartinsDaniel AeleneiFabio NarducciTiago Marques
- Topics
- Biometric Identification and Security (15 papers)Face recognition and analysis (14 papers)Video Surveillance and Tracking Methods (12 papers)
In The Last Decade
João C. Neves
40 papers receiving 494 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 311
- Signal Processing 198
- Artificial Intelligence 80
- Electrical and Electronic Engineering 68
- Building and Construction 51
Countries citing papers authored by João C. Neves
This map shows the geographic impact of João C. Neves'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 João C. Neves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João C. Neves more than expected).
Fields of papers citing papers by João C. Neves
This network shows the impact of papers produced by João C. Neves. 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 João C. Neves. The network helps show where João C. Neves may publish in the future.
Co-authorship network of co-authors of João C. Neves
This figure shows the co-authorship network connecting the top 25 collaborators of João C. Neves. A scholar is included among the top collaborators of João C. Neves 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 João C. Neves. João C. Neves 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment | 1 |
| 10 | Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments | 3 |
| 11 | Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems. | 5 |
| 12 | 14 | |
| 13 | 9 | |
| 14 | 88 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 7 |
About João C. Neves
João C. Neves is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 43 papers that have together received 505 indexed citations. Recurring topics across this work include Biometric Identification and Security (15 papers), Face recognition and analysis (14 papers) and Video Surveillance and Tracking Methods (12 papers). The work is most often cited by research in Signal Processing (198 citations), Computer Vision and Pattern Recognition (311 citations) and Health Informatics (13 citations). João C. Neves has collaborated with scholars based in Portugal, Brazil and Spain. Frequent co-authors include Hugo Proença, Luís F. Teixeira, Silvio Barra, Rui Amaral Lopes, João Martins, Daniel Aelenei, Fabio Narducci, Tiago Marques, Rubén Vera-Rodríguez and V. B. Surya Prasath. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Sensors.
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.