Ángel Suescun

30 total papers · 421 total citations
23 papers, 290 citations indexed

About

Ángel Suescun is a scholar working on Control and Systems Engineering, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ángel Suescun has authored 23 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 5 papers in Automotive Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ángel Suescun's work include Transportation Planning and Optimization (4 papers), Hand Gesture Recognition Systems (4 papers) and Virtual Reality Applications and Impacts (3 papers). Ángel Suescun is often cited by papers focused on Transportation Planning and Optimization (4 papers), Hand Gesture Recognition Systems (4 papers) and Virtual Reality Applications and Impacts (3 papers). Ángel Suescun collaborates with scholars based in Spain, Sweden and Switzerland. Ángel Suescun's co-authors include Teresa Gutiérrez, Jorge Rodríguez-Arce, MariAnne Karlsson, Manuel Lorca, Luis Unzueta, Ronan Boulic, Emilio Sánchez, Xuguang Wang, Oskar Rexfelt and Aitor Cazón and has published in prestigious journals such as Transportation Research Part C Emerging Technologies, SAE technical papers on CD-ROM/SAE technical paper series and Applied Sciences.

In The Last Decade

Ángel Suescun

21 papers receiving 272 citations

Author Peers

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

Author						Papers	Cites
Ángel Suescun	80	78	73	51	51	23	290
Holger Kenn	141 1.8×	92 1.2×	33 0.5×	27 0.5×	32 0.6×	27	309
José E. Naranjo	52 0.7×	60 0.8×	38 0.5×	8 0.2×	37 0.7×	21	201
Isabelle Milleville-Pennel	52 0.7×	121 1.6×	20 0.3×	19 0.4×	32 0.6×	22	317
Tomoichi Takahashi	85 1.1×	114 1.5×	78 1.1×	10 0.2×	36 0.7×	42	281
Yang Ye	50 0.6×	27 0.3×	71 1.0×	4 0.1×	49 1.0×	29	310
Haiwei Wang	56 0.7×	16 0.2×	82 1.1×	21 0.4×	31 0.6×	17	278
Mohamed Hussein	35 0.4×	27 0.3×	75 1.0×	5 0.1×	45 0.9×	57	298
Rafael Torchelsen	122 1.5×	56 0.7×	18 0.2×	22 0.4×	8 0.2×	25	280
Majid Ali Khan	49 0.6×	42 0.5×	22 0.3×	15 0.3×	22 0.4×	34	201
Hasan Esen	63 0.8×	16 0.2×	186 2.5×	17 0.3×	40 0.8×	22	300

Countries citing papers authored by Ángel Suescun

Since Specialization

Citations

This map shows the geographic impact of Ángel Suescun'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 Ángel Suescun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ángel Suescun more than expected).

Fields of papers citing papers by Ángel Suescun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ángel Suescun. 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 Ángel Suescun. The network helps show where Ángel Suescun may publish in the future.

Co-authorship network of co-authors of Ángel Suescun

This figure shows the co-authorship network connecting the top 25 collaborators of Ángel Suescun. A scholar is included among the top collaborators of Ángel Suescun 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 Ángel Suescun. Ángel Suescun 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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