Jon Arróspide

541 citations
18 papers · 395 · h-index 11

Impact in

Papers in

Jon Arróspide

18 papers receiving 359 citations

Peers

Jon Arróspide
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 326
  • Automotive Engineering 175
  • Media Technology 73
  • Aerospace Engineering 63
  • Environmental Engineering 31
Replace Mirko Meuter with:
Mirko Meuter Germany
Stefan Müller-Schneiders Germany
Huai Yuan China
Frank Lindner Germany
Stéphane Mousset France
My-Ha Le Vietnam
Gwenaëlle Toulminet France
Roman Juránek Czechia
Yanhua Jiang China
C.R. Jung Brazil
Jon Arróspide relative to Mirko Meuter Germany Mirko Meuter's profile →
Citations per field
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Mirko Meuter · 1×
Citations per year

Countries citing papers authored by Jon Arróspide

Since Specialization
Citations

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

Fields of papers citing papers by Jon Arróspide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Jon Arróspide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Arróspide Line = papers co-authored together Jon Arróspide links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201373
2 201250
3 201344
4 201241
5 200841
6 201038
7 200828
8 201216
9 201416
10 201011
11 201211
12 20096
13 20115
14 20105
15 20124
16 20123
17 20142
18 20081

About Jon Arróspide

Jon Arróspide is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Environmental Engineering and Ocean Engineering, having authored 18 papers that have together received 395 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Autonomous Vehicle Technology and Safety (12 papers), Advanced Vision and Imaging (6 papers), Remote Sensing and LiDAR Applications (5 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Neural Network Applications (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (326 citations), Automotive Engineering (175 citations), Media Technology (73 citations), Aerospace Engineering (63 citations) and Environmental Engineering (31 citations). Jon Arróspide has collaborated with scholars based in Spain and France. Frequent co-authors include Luís Salgado, Marcos Nieto, Fernando Jaureguizar, Massimo Camplani and Oihana Otaegui. Their work appears in journals such as IET Intelligent Transport Systems, IEEE Transactions on Image Processing, International Journal of Automotive Technology, Journal of Visual Communication and Image Representation and EURASIP Journal on Advances in Signal Processing.

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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