Miguel Duarte
- Artificial Intelligence top 10%
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Ocean Engineering top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Sancho OliveiraAnders Lyhne ChristensenJorge GomesTiago RodriguesFernando SilvaVasco CostaJ. Fernando SilvaLuís Correia
- Topics
- Modular Robots and Swarm Intelligence (13 papers)Reinforcement Learning in Robotics (12 papers)Evolutionary Algorithms and Applications (11 papers)
- Journals
- PLoS ONEInternational Journal of Environmental Research and Public HealthIEEE Transactions on Evolutionary Computation
- Partner nations
- PortugalSwitzerlandUnited States
In The Last Decade
Miguel Duarte
28 papers receiving 417 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 181
- Mechanical Engineering 159
- Computer Networks and Communications 146
- Ocean Engineering 69
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Miguel Duarte
This map shows the geographic impact of Miguel Duarte'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 Miguel Duarte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Duarte more than expected).
Fields of papers citing papers by Miguel Duarte
This network shows the impact of papers produced by Miguel Duarte. 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 Miguel Duarte. The network helps show where Miguel Duarte may publish in the future.
Co-authorship network of co-authors of Miguel Duarte
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Duarte. A scholar is included among the top collaborators of Miguel Duarte 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 Miguel Duarte. Miguel Duarte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 36 | |
| 9 | 78 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 12 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 15 |
About Miguel Duarte
Miguel Duarte is a scholar working on Mechanical Engineering, Ocean Engineering and Artificial Intelligence, having authored 29 papers that have together received 424 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (13 papers), Reinforcement Learning in Robotics (12 papers) and Evolutionary Algorithms and Applications (11 papers). The work is most often cited by research in Computer Networks and Communications (146 citations), Artificial Intelligence (181 citations) and Ocean Engineering (69 citations). Miguel Duarte has collaborated with scholars based in Portugal, Switzerland and United States. Frequent co-authors include Sancho Oliveira, Anders Lyhne Christensen, Jorge Gomes, Tiago Rodrigues, Fernando Silva, Vasco Costa, J. Fernando Silva, Luís Correia, Victor Lobo and Fernando J. Velez. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health and IEEE Transactions on Evolutionary Computation.
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.