Marcos Nieto
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Environmental Engineering top 10%
- Co-authors
- Luís SalgadoJon ArróspideOihana OtaeguiFernando JaureguizarLuis UnzuetaPedro SánchezJulián CabreraGorka Vélez
- Topics
- Video Surveillance and Tracking Methods (26 papers)Autonomous Vehicle Technology and Safety (24 papers)Advanced Vision and Imaging (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- SpainIrelandUnited Kingdom
In The Last Decade
Marcos Nieto
72 papers receiving 770 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 632
- Automotive Engineering 346
- Aerospace Engineering 120
- Artificial Intelligence 111
- Environmental Engineering 91
Countries citing papers authored by Marcos Nieto
This map shows the geographic impact of Marcos Nieto'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 Marcos Nieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcos Nieto more than expected).
Fields of papers citing papers by Marcos Nieto
This network shows the impact of papers produced by Marcos Nieto. 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 Marcos Nieto. The network helps show where Marcos Nieto may publish in the future.
Co-authorship network of co-authors of Marcos Nieto
This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Nieto. A scholar is included among the top collaborators of Marcos Nieto 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 Marcos Nieto. Marcos Nieto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 15 | |
| 17 | SAVASA Project @ TRECVID 2012: Interactive Surveillance Event Detection | 2 |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 38 |
About Marcos Nieto
Marcos Nieto is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Environmental Engineering, having authored 82 papers that have together received 824 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (26 papers), Autonomous Vehicle Technology and Safety (24 papers) and Advanced Vision and Imaging (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (632 citations), Automotive Engineering (346 citations) and Media Technology (89 citations). Marcos Nieto has collaborated with scholars based in Spain, Ireland and United Kingdom. Frequent co-authors include Luís Salgado, Jon Arróspide, Oihana Otaegui, Fernando Jaureguizar, Luis Unzueta, Pedro Sánchez, Julián Cabrera, Gorka Vélez, Daniel Alonso and Carlos Cuevas. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.