Paulo Iscold
Impact in
- Aerospace Engineering top 5%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
- Guidance and Control Systems
-
- Robotic Path Planning Algorithms
Papers in
-
- Robotics and Sensor-Based Localization 4
- Aerospace and Aviation Technology 2
- Guidance and Control Systems 2
- UAV Applications and Optimization 1
-
- Robotic Path Planning Algorithms 3
- Advanced Vision and Imaging 1
- Co-authors
- Guilherme A. S. Pereira (4 shared papers)Luciano C. A. Pimenta (1 shared paper)Leonardo A. B. Tôrres (4 shared papers)Luís A. Aguirre (1 shared paper)Bruno O. S. Teixeira (1 shared paper)Benedito Carlos Maciel (1 shared paper)Thomas Richardson (1 shared paper)Thomas Rendall (1 shared paper)
- Journals
- Journal of Aircraft (1 paper)Sensors (1 paper)Electronics Letters (1 paper)Aerospace Science and Technology (1 paper)IEEE Transactions on Aerospace and Electronic Systems (1 paper)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Paulo Iscold
6 papers receiving 350 citations
Peers
Comparison fields: 5 of 50
- Aerospace Engineering 269
- Computer Vision and Pattern Recognition 202
- Industrial and Manufacturing Engineering 48
- Computer Networks and Communications 93
- Ocean Engineering 31
Countries citing papers authored by Paulo Iscold
This map shows the geographic impact of Paulo Iscold'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 Paulo Iscold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo Iscold more than expected).
Fields of papers citing papers by Paulo Iscold
This network shows the impact of papers produced by Paulo Iscold. 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 Paulo Iscold. The network helps show where Paulo Iscold may publish in the future.
Co-authors
The 8 scholars most cited alongside Paulo Iscold, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 237 | |
| 2 | 2010 | 69 | |
| 3 | 2010 | 33 | |
| 4 | 2008 | 10 | |
| 5 | 2013 | 4 | |
| 6 | 2006 | 2 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 |
About Paulo Iscold
Paulo Iscold is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 8 papers that have together received 355 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (3 papers), Aerospace and Aviation Technology (2 papers), Guidance and Control Systems (2 papers), Advanced Measurement and Detection Methods (1 paper), Engineering Applied Research (1 paper), Advanced Vision and Imaging (1 paper) and UAV Applications and Optimization (1 paper). The work is most often cited by research in Aerospace Engineering (269 citations), Computer Vision and Pattern Recognition (202 citations), Industrial and Manufacturing Engineering (48 citations), Computer Networks and Communications (93 citations) and Ocean Engineering (31 citations). Paulo Iscold has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Guilherme A. S. Pereira, Luciano C. A. Pimenta, Leonardo A. B. Tôrres, Luís A. Aguirre, Bruno O. S. Teixeira, Benedito Carlos Maciel, Thomas Richardson and Thomas Rendall. Their work appears in journals such as Journal of Aircraft, Sensors, Electronics Letters, Aerospace Science and Technology and IEEE Transactions on Aerospace and Electronic 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.