Davide Carneiro
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Co-authors
- Paulo NováisJosé NevesAntonio Fernández‐CaballeroJosé Carlos CastilloFrancisco AndradeJohn ZeleznikowJuan Carlos AugustoNicola Payne
- Topics
- Multi-Agent Systems and Negotiation (10 papers)Machine Learning and Data Classification (9 papers)Emotion and Mood Recognition (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Davide Carneiro
55 papers receiving 490 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 122
- Experimental and Cognitive Psychology 120
- Computer Vision and Pattern Recognition 80
- Biomedical Engineering 62
- Cardiology and Cardiovascular Medicine 56
Countries citing papers authored by Davide Carneiro
This map shows the geographic impact of Davide Carneiro'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 Davide Carneiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Carneiro more than expected).
Fields of papers citing papers by Davide Carneiro
This network shows the impact of papers produced by Davide Carneiro. 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 Davide Carneiro. The network helps show where Davide Carneiro may publish in the future.
Co-authorship network of co-authors of Davide Carneiro
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Carneiro. A scholar is included among the top collaborators of Davide Carneiro 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 Davide Carneiro. Davide Carneiro 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 | 10 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 8 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 70 | |
| 17 | 0 | |
| 18 | Sistema de resolução online de conflito para partilhas de bens : divórcios e heranças | 1 |
| 19 | 4 | |
| 20 | Simulating and monitoring ambient assisted living | 8 |
About Davide Carneiro
Davide Carneiro is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Health Informatics, having authored 61 papers that have together received 516 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (10 papers), Machine Learning and Data Classification (9 papers) and Emotion and Mood Recognition (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (120 citations), Health Informatics (7 citations) and Applied Psychology (25 citations). Davide Carneiro has collaborated with scholars based in Portugal, Spain and Australia. Frequent co-authors include Paulo Nováis, José Neves, Antonio Fernández‐Caballero, José Carlos Castillo, Francisco Andrade, John Zeleznikow, Juan Carlos Augusto, Nicola Payne, Victor Alves and João M. Fernandes. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.