Heitor Freitas
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
- Plant Surface Properties and Treatments
- Aerospace Engineering top 10%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
Papers in
-
- IoT and Edge/Fog Computing 3
- Energy Efficient Wireless Sensor Networks 2
-
- UAV Applications and Optimization 3
- Co-authors
- Jó Ueyama (6 shared papers)Bruno S. Faiçal (4 shared papers)Gustavo Pessin (3 shared papers)Pedro Henrique Gomes (2 shared papers)Leandro A. Villas (3 shared papers)André C. P. L. F. de Carvalho (1 shared paper)Bhaskar Krishnamachari (1 shared paper)Leandro Yukio Mano (1 shared paper)
- Journals
- Sensors (2 papers)Computers and Electronics in Agriculture (2 papers)IEEE Communications Magazine (1 paper)Journal of Systems Architecture (1 paper)Computer Networks (1 paper)
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
Heitor Freitas
7 papers receiving 419 citations
Peers
Comparison fields: 5 of 67
- Plant Science 219
- Aerospace Engineering 146
- Computer Networks and Communications 97
- Computer Vision and Pattern Recognition 79
- Environmental Engineering 42
Countries citing papers authored by Heitor Freitas
This map shows the geographic impact of Heitor Freitas'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 Heitor Freitas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heitor Freitas more than expected).
Fields of papers citing papers by Heitor Freitas
This network shows the impact of papers produced by Heitor Freitas. 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 Heitor Freitas. The network helps show where Heitor Freitas may publish in the future.
Co-authors
The 18 scholars most cited alongside Heitor Freitas, 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 | 2017 | 175 | |
| 2 | 2014 | 149 | |
| 3 | 2014 | 47 | |
| 4 | 2020 | 32 | |
| 5 | 2018 | 23 | |
| 6 | 2021 | 10 | |
| 7 | 2022 | 4 | |
| 8 | 2018 | 1 | |
| 9 | 2021 | 1 |
About Heitor Freitas
Heitor Freitas is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Plant Science and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 442 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), UAV Applications and Optimization (3 papers), Smart Agriculture and AI (3 papers), Energy Efficient Wireless Sensor Networks (2 papers), Context-Aware Activity Recognition Systems (2 papers), Green IT and Sustainability (1 paper), Transportation and Mobility Innovations (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Plant Science (219 citations), Aerospace Engineering (146 citations), Computer Networks and Communications (97 citations), Computer Vision and Pattern Recognition (79 citations) and Environmental Engineering (42 citations). Heitor Freitas has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Jó Ueyama, Bruno S. Faiçal, Gustavo Pessin, Pedro Henrique Gomes, Leandro A. Villas, André C. P. L. F. de Carvalho, Bhaskar Krishnamachari, Leandro Yukio Mano, Torsten Braun and Fausto Guzzo da Costa. Their work appears in journals such as Sensors, Computers and Electronics in Agriculture, IEEE Communications Magazine, Journal of Systems Architecture and Computer Networks.
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.