Loreto Susperregi
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Social Psychology top 10%
- Mechanical Engineering
- Co-authors
- Aitor IbargurenIñaki MaurtuaBasilio SierraJohan KildalElena LazkanoAitor GutierrezIzaskun FernándezAlberto Tellaeche
- Topics
- Robot Manipulation and Learning (4 papers)Robotics and Sensor-Based Localization (4 papers)Robotic Path Planning Algorithms (3 papers)
In The Last Decade
Loreto Susperregi
16 papers receiving 448 citations
Peers
Comparison fields: 5 of 75
- Control and Systems Engineering 160
- Computer Vision and Pattern Recognition 105
- Industrial and Manufacturing Engineering 104
- Social Psychology 94
- Mechanical Engineering 68
Countries citing papers authored by Loreto Susperregi
This map shows the geographic impact of Loreto Susperregi'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 Loreto Susperregi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loreto Susperregi more than expected).
Fields of papers citing papers by Loreto Susperregi
This network shows the impact of papers produced by Loreto Susperregi. 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 Loreto Susperregi. The network helps show where Loreto Susperregi may publish in the future.
Co-authorship network of co-authors of Loreto Susperregi
This figure shows the co-authorship network connecting the top 25 collaborators of Loreto Susperregi. A scholar is included among the top collaborators of Loreto Susperregi 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 Loreto Susperregi. Loreto Susperregi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 1 | |
| 3 | 71 | |
| 4 | 155 | |
| 5 | 63 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 27 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 30 | |
| 13 | 11 | |
| 14 | 11 | |
| 15 | Machine learning algorithms for task identification | 2 |
| 16 | 3 |
About Loreto Susperregi
Loreto Susperregi is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing, having authored 16 papers that have together received 469 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Robotics and Sensor-Based Localization (4 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (104 citations), Human-Computer Interaction (49 citations) and Control and Systems Engineering (160 citations). Loreto Susperregi has collaborated with scholars based in Spain, Germany and Czechia. Frequent co-authors include Aitor Ibarguren, Iñaki Maurtua, Basilio Sierra, Johan Kildal, Elena Lazkano, Aitor Gutierrez, Izaskun Fernández, Alberto Tellaeche, José María Martínez‐Otzeta and Modesto Castrillón-Santana. Their work appears in journals such as Sensors, Applied Sciences and Engineering Applications of Artificial Intelligence.
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.