Tomás Martinez-Marín
- Aerospace Engineering top 5%
- Environmental Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Ecology top 10%
- Artificial Intelligence
- Co-authors
- Juan M. López‐SánchezFernando Vicente-GuijalbaTom DuckettPedro J. ZufiriaD. MeziatSebastián SánchezAchim J. LilienthalJun Li
- Topics
- Robotic Path Planning Algorithms (12 papers)Soil Moisture and Remote Sensing (8 papers)Remote Sensing in Agriculture (8 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingRemote SensingIEEE Transactions on Instrumentation and Measurement
- Partner nations
- SpainSwedenUnited Kingdom
In The Last Decade
Tomás Martinez-Marín
28 papers receiving 460 citations
Peers
Comparison fields: 5 of 65
- Aerospace Engineering 216
- Environmental Engineering 158
- Computer Vision and Pattern Recognition 134
- Ecology 127
- Artificial Intelligence 64
Countries citing papers authored by Tomás Martinez-Marín
This map shows the geographic impact of Tomás Martinez-Marín'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 Tomás Martinez-Marín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomás Martinez-Marín more than expected).
Fields of papers citing papers by Tomás Martinez-Marín
This network shows the impact of papers produced by Tomás Martinez-Marín. 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 Tomás Martinez-Marín. The network helps show where Tomás Martinez-Marín may publish in the future.
Co-authorship network of co-authors of Tomás Martinez-Marín
This figure shows the co-authorship network connecting the top 25 collaborators of Tomás Martinez-Marín. A scholar is included among the top collaborators of Tomás Martinez-Marín 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 Tomás Martinez-Marín. Tomás Martinez-Marín 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 | 7 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | A Dynamical System Approach for Agricultural Crop Phenology Tracking using PolSAR Time-Series: Cereals Case Study at C-Band | 0 |
| 7 | 40 | |
| 8 | 40 | |
| 9 | 28 | |
| 10 | 18 | |
| 11 | 11 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 22 | |
| 20 | 6 |
About Tomás Martinez-Marín
Tomás Martinez-Marín is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 31 papers that have together received 471 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (12 papers), Soil Moisture and Remote Sensing (8 papers) and Remote Sensing in Agriculture (8 papers). The work is most often cited by research in Environmental Engineering (158 citations), Aerospace Engineering (216 citations) and Computer Vision and Pattern Recognition (134 citations). Tomás Martinez-Marín has collaborated with scholars based in Spain, Sweden and United Kingdom. Frequent co-authors include Juan M. López‐Sánchez, Fernando Vicente-Guijalba, Tom Duckett, Pedro J. Zufiria, D. Meziat, Sebastián Sánchez, Achim J. Lilienthal, Jun Li, Roberto Tomás and J. David Ballester‐Berman. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and IEEE Transactions on Instrumentation and Measurement.
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.