Felipe Trevizan
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Computational Theory and Mathematics
- Management Science and Operations Research
- Co-authors
- Sylvie ThiébauxManuela VelosoWilliam ShenSam ToyerFábio Gagliardi CozmanLeliane Nunes de BarrosLexing XiePatrik Haslum
- Topics
- AI-based Problem Solving and Planning (18 papers)Robotic Path Planning Algorithms (9 papers)Machine Learning and Algorithms (6 papers)
- Journals
- Artificial IntelligenceTransportation Research Record Journal of the Transportation Research BoardIET Intelligent Transport Systems
- Partner nations
- AustraliaUnited StatesBrazil
In The Last Decade
Felipe Trevizan
22 papers receiving 194 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 148
- Computer Vision and Pattern Recognition 43
- Computer Networks and Communications 38
- Computational Theory and Mathematics 34
- Management Science and Operations Research 24
Countries citing papers authored by Felipe Trevizan
This map shows the geographic impact of Felipe Trevizan'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 Felipe Trevizan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Trevizan more than expected).
Fields of papers citing papers by Felipe Trevizan
This network shows the impact of papers produced by Felipe Trevizan. 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 Felipe Trevizan. The network helps show where Felipe Trevizan may publish in the future.
Co-authorship network of co-authors of Felipe Trevizan
This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Trevizan. A scholar is included among the top collaborators of Felipe Trevizan 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 Felipe Trevizan. Felipe Trevizan 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | Heuristic Search Planning With Multi-Objective Probabilistic LTL Constraints. | 6 |
| 12 | 1 | |
| 13 | 31 | |
| 14 | Efficient solutions for Stochastic Shortest Path Problems with Dead Ends. | 12 |
| 15 | 5 | |
| 16 | 15 | |
| 17 | 9 | |
| 18 | Learning Opponent's Strategies In the RoboCup Small Size League | 3 |
| 19 | Planning under risk and Knightian uncertainty | 20 |
| 20 | Multilinear and integer programming for markov decision processes with imprecise probabilities | 10 |
About Felipe Trevizan
Felipe Trevizan is a scholar working on Artificial Intelligence, General Decision Sciences and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 198 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (18 papers), Robotic Path Planning Algorithms (9 papers) and Machine Learning and Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (148 citations), Software (11 citations) and Computational Theory and Mathematics (34 citations). Felipe Trevizan has collaborated with scholars based in Australia, United States and Brazil. Frequent co-authors include Sylvie Thiébaux, Manuela Veloso, William Shen, Sam Toyer, Fábio Gagliardi Cozman, Leliane Nunes de Barros, Lexing Xie, Patrik Haslum, Brian P. Williams and Brian Williams. Their work appears in journals such as Artificial Intelligence, Transportation Research Record Journal of the Transportation Research Board and IET Intelligent Transport Systems.
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.