Sergio Vélez
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Ecology top 10%
- Remote Sensing in Agriculture
Papers in
-
- Horticultural and Viticultural Research 17
- Smart Agriculture and AI 10
- Ecology 21
- Remote Sensing in Agriculture 20
- Co-authors
- João Valente (20 shared papers)Mar Ariza-Sentís (17 shared papers)Enrique Barajas (9 shared papers)J.A. Rubio (9 shared papers)Sara Álvarez (8 shared papers)Carlos Poblete-Echeverría (3 shared papers)David Ruano-Rosa (2 shared papers)Bruno Tisseyre (1 shared paper)
- Journals
- Data in Brief (6 papers)Computers and Electronics in Agriculture (5 papers)Sensors (2 papers)OENO One (2 papers)Agronomy (2 papers)
- Partner nations
- NetherlandsSpainGermany
In The Last Decade
Sergio Vélez
40 papers receiving 518 citations
Sergio Vélez's Hit Papers
Peers
Comparison fields: 5 of 70
- Environmental Engineering 167
- Ecology 251
- Plant Science 317
- Geology 30
- Analytical Chemistry 40
Countries citing papers authored by Sergio Vélez
This map shows the geographic impact of Sergio Vélez'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 Sergio Vélez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Vélez more than expected).
Fields of papers citing papers by Sergio Vélez
This network shows the impact of papers produced by Sergio Vélez. 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 Sergio Vélez. The network helps show where Sergio Vélez may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Vélez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Object detection and tracking in Precision Farming: a systematic review Hit paper breakdown → | 2024 | 66 |
| 2 | 2023 | 48 | |
| 3 | 2022 | 46 | |
| 4 | 2023 | 40 | |
| 5 | 2020 | 36 | |
| 6 | 2021 | 24 | |
| 7 | 2019 | 23 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 19 | |
| 10 | 2023 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2023 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2024 | 8 |
About Sergio Vélez
Sergio Vélez is a scholar working on Plant Science, Ecology, Environmental Engineering, Food Science and Geology, having authored 43 papers that have together received 532 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (20 papers), Remote Sensing and LiDAR Applications (17 papers), Horticultural and Viticultural Research (17 papers), Smart Agriculture and AI (10 papers), 3D Surveying and Cultural Heritage (5 papers), Fermentation and Sensory Analysis (4 papers), Robotics and Sensor-Based Localization (4 papers) and Nuts composition and effects (4 papers). The work is most often cited by research in Environmental Engineering (167 citations), Ecology (251 citations), Plant Science (317 citations), Geology (30 citations) and Analytical Chemistry (40 citations). Sergio Vélez has collaborated with scholars based in Netherlands, Spain and Germany. Frequent co-authors include João Valente, Mar Ariza-Sentís, Enrique Barajas, J.A. Rubio, Sara Álvarez, Carlos Poblete-Echeverría, David Ruano-Rosa, Bruno Tisseyre, Pilar Blanco and J. del Castillo. Their work appears in journals such as Data in Brief, Computers and Electronics in Agriculture, Sensors, OENO One and Agronomy.
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.