Marcos Nieto

127 total papers · 1.4k total citations
82 papers, 824 citations indexed

About

Marcos Nieto is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Marcos Nieto has authored 82 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 25 papers in Automotive Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Marcos Nieto's work include Video Surveillance and Tracking Methods (26 papers), Autonomous Vehicle Technology and Safety (24 papers) and Advanced Vision and Imaging (18 papers). Marcos Nieto is often cited by papers focused on Video Surveillance and Tracking Methods (26 papers), Autonomous Vehicle Technology and Safety (24 papers) and Advanced Vision and Imaging (18 papers). Marcos Nieto collaborates with scholars based in Spain, Ireland and United Kingdom. Marcos Nieto's co-authors include Luís Salgado, Jon Arróspide, Oihana Otaegui, Fernando Jaureguizar, Luis Unzueta, Pedro Sánchez, Julián Cabrera, Gorka Vélez, Carlos Cuevas and Narciso Garcı́a and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Marcos Nieto

71 papers receiving 769 citations

Author Peers

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

Author						Papers	Cites
Marcos Nieto	631	345	119	111	91	82	824
Xinyu Huang	639 1.0×	280 0.8×	184 1.5×	129 1.2×	89 1.0×	36	981
Jun Li	510 0.8×	285 0.8×	193 1.6×	179 1.6×	77 0.8×	78	967
Senthil Yogamani	685 1.1×	186 0.5×	232 1.9×	180 1.6×	87 1.0×	61	1.0k
Ravi Kumar Satzoda	504 0.8×	416 1.2×	57 0.5×	123 1.1×	61 0.7×	45	797
Carlos Fernández	420 0.7×	453 1.3×	153 1.3×	100 0.9×	109 1.2×	40	1.0k
Liang Xiao	442 0.7×	440 1.3×	144 1.2×	73 0.7×	175 1.9×	59	931
Vijay John	576 0.9×	163 0.5×	187 1.6×	137 1.2×	49 0.5×	54	930
Tao Wu	484 0.8×	301 0.9×	147 1.2×	79 0.7×	206 2.3×	79	779
Xiangjing An	733 1.2×	231 0.7×	138 1.2×	44 0.4×	90 1.0×	54	941
Paolo Medici	515 0.8×	468 1.4×	109 0.9×	78 0.7×	58 0.6×	23	859

Countries citing papers authored by Marcos Nieto

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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