Manuel López-Antequera
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Geology
- Co-authors
- Nicolai PetkovYubin KuangPau GargalloSøren HaubergFrederik WarburgJavier CiveraJavier González-JiménezRuben Gomez-Ojeda
- Topics
- Robotics and Sensor-Based Localization (7 papers)Advanced Image and Video Retrieval Techniques (4 papers)3D Surveying and Cultural Heritage (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessIEEE Transactions on Robotics
- Partner nations
- NetherlandsSpainGermany
In The Last Decade
Manuel López-Antequera
10 papers receiving 279 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 228
- Aerospace Engineering 184
- Electrical and Electronic Engineering 57
- Artificial Intelligence 29
- Geology 16
Countries citing papers authored by Manuel López-Antequera
This map shows the geographic impact of Manuel López-Antequera'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 Manuel López-Antequera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel López-Antequera more than expected).
Fields of papers citing papers by Manuel López-Antequera
This network shows the impact of papers produced by Manuel López-Antequera. 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 Manuel López-Antequera. The network helps show where Manuel López-Antequera may publish in the future.
Co-authorship network of co-authors of Manuel López-Antequera
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel López-Antequera. A scholar is included among the top collaborators of Manuel López-Antequera 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 Manuel López-Antequera. Manuel López-Antequera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 20 | |
| 3 | 119 | |
| 4 | 39 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 55 | |
| 10 | 5 |
About Manuel López-Antequera
Manuel López-Antequera is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 10 papers that have together received 285 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Aerospace Engineering (184 citations) and Geology (16 citations). Manuel López-Antequera has collaborated with scholars based in Netherlands, Spain and Germany. Frequent co-authors include Nicolai Petkov, Yubin Kuang, Pau Gargallo, Søren Hauberg, Frederik Warburg, Javier Civera, Javier González-Jiménez, Ruben Gomez-Ojeda, Nicola Strisciuglio and Samuel Rota Bulò. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Robotics.
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.