Loreto Susperregi

29 total papers · 671 total citations
16 papers, 466 citations indexed

About

Loreto Susperregi is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Loreto Susperregi has authored 16 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Loreto Susperregi's work include Robot Manipulation and Learning (4 papers), Robotics and Sensor-Based Localization (4 papers) and Robotic Path Planning Algorithms (3 papers). Loreto Susperregi is often cited by papers focused on Robot Manipulation and Learning (4 papers), Robotics and Sensor-Based Localization (4 papers) and Robotic Path Planning Algorithms (3 papers). Loreto Susperregi collaborates with scholars based in Spain, Germany and Czechia. Loreto Susperregi's co-authors include Aitor Ibarguren, Iñaki Maurtua, Basilio Sierra, Johan Kildal, Elena Lazkano, Aitor Gutierrez, Alberto Tellaeche, Izaskun Fernández, José María Martínez‐Otzeta and Modesto Castrillón-Santana and has published in prestigious journals such as Sensors, Applied Sciences and Engineering Applications of Artificial Intelligence.

In The Last Decade

Loreto Susperregi

16 papers receiving 446 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Loreto Susperregi	157	104	102	94	67	16	466
Marco Ewerton	374 2.4×	121 1.2×	36 0.4×	95 1.0×	73 1.1×	22	509
Juan Pérez-Oria	243 1.5×	88 0.8×	133 1.3×	74 0.8×	65 1.0×	10	532
Eduard Clotet	147 0.9×	154 1.5×	25 0.2×	39 0.4×	54 0.8×	35	475
Amir M. Ghalamzan E.	245 1.6×	131 1.3×	39 0.4×	17 0.2×	129 1.9×	28	500
Benjamin Navarro	241 1.5×	109 1.0×	69 0.7×	38 0.4×	82 1.2×	20	434
Jeffrey Too Chuan Tan	183 1.2×	69 0.7×	134 1.3×	100 1.1×	56 0.8×	54	432
Jonathan Bohren	264 1.7×	171 1.6×	52 0.5×	60 0.6×	155 2.3×	8	518
Victor Eruhimov	107 0.7×	255 2.5×	29 0.3×	16 0.2×	46 0.7×	12	470
Esther Gonzalez‐Sarabia	207 1.3×	53 0.5×	132 1.3×	79 0.8×	57 0.9×	7	426
Christian Lenz	142 0.9×	103 1.0×	30 0.3×	14 0.1×	140 2.1×	30	427

Countries citing papers authored by Loreto Susperregi

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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