Valdir Grassi
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Human-Computer Interaction top 2%
- Aerospace Engineering top 10%
- Co-authors
- Vijay KumarDenis F. WolfJun OkamotoFernando Santos OsórioMarco H. TerraPatrick Y. ShinzatoMaíra Martins da SilvaVitor Guizilini
- Topics
- Autonomous Vehicle Technology and Safety (17 papers)Robotic Path Planning Algorithms (15 papers)Advanced Vision and Imaging (11 papers)
- Journals
- Expert Systems with ApplicationsSensorsIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- BrazilUnited StatesMoldova
In The Last Decade
Valdir Grassi
50 papers receiving 659 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 371
- Control and Systems Engineering 224
- Automotive Engineering 205
- Human-Computer Interaction 138
- Aerospace Engineering 130
Countries citing papers authored by Valdir Grassi
This map shows the geographic impact of Valdir Grassi'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 Valdir Grassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valdir Grassi more than expected).
Fields of papers citing papers by Valdir Grassi
This network shows the impact of papers produced by Valdir Grassi. 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 Valdir Grassi. The network helps show where Valdir Grassi may publish in the future.
Co-authorship network of co-authors of Valdir Grassi
This figure shows the co-authorship network connecting the top 25 collaborators of Valdir Grassi. A scholar is included among the top collaborators of Valdir Grassi 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 Valdir Grassi. Valdir Grassi 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 | 2 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 59 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 36 | |
| 14 | 9 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 57 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 12 |
About Valdir Grassi
Valdir Grassi is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 57 papers that have together received 690 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (17 papers), Robotic Path Planning Algorithms (15 papers) and Advanced Vision and Imaging (11 papers). The work is most often cited by research in Human-Computer Interaction (138 citations), Computer Vision and Pattern Recognition (371 citations) and Automotive Engineering (205 citations). Valdir Grassi has collaborated with scholars based in Brazil, United States and Moldova. Frequent co-authors include Vijay Kumar, Denis F. Wolf, Jun Okamoto, Fernando Santos Osório, Marco H. Terra, Patrick Y. Shinzato, Maíra Martins da Silva, Vitor Guizilini, Kalinka Regina Lucas Jaquie Castelo Branco and Jefferson R. Souza. Their work appears in journals such as Expert Systems with Applications, Sensors and IEEE Transactions on Intelligent Transportation 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.