I. Parra
Impact in
- Automotive Engineering top 0.5%
- Autonomous Vehicle Technology and Safety
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Papers in
-
- Video Surveillance and Tracking Methods 40
- Advanced Neural Network Applications 16
- Advanced Vision and Imaging 14
- Image and Object Detection Techniques 8
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- Autonomous Vehicle Technology and Safety 46
- Co-authors
- Miguel Ángel Sotelo (69 shared papers)David Fernández Llorca (57 shared papers)Rubén Izquierdo (26 shared papers)Manuel Ocaña (13 shared papers)Luis M. Bergasa (13 shared papers)R. Quintero (10 shared papers)Iván García Daza (8 shared papers)Vicente Milanés (3 shared papers)
In The Last Decade
I. Parra
81 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 94
- Automotive Engineering 989
- Computer Vision and Pattern Recognition 1.1k
- Safety, Risk, Reliability and Quality 325
- Media Technology 178
- Civil and Structural Engineering 357
Countries citing papers authored by I. Parra
This map shows the geographic impact of I. Parra'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 I. Parra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Parra more than expected).
Fields of papers citing papers by I. Parra
This network shows the impact of papers produced by I. Parra. 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 I. Parra. The network helps show where I. Parra may publish in the future.
Co-authors
The 25 scholars most cited alongside I. Parra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 305 | |
| 2 | 2011 | 150 | |
| 3 | 2007 | 138 | |
| 4 | 2018 | 124 | |
| 5 | 2011 | 103 | |
| 6 | 2012 | 70 | |
| 7 | 2011 | 67 | |
| 8 | 2008 | 55 | |
| 9 | 2017 | 54 | |
| 10 | 2011 | 51 | |
| 11 | 2017 | 44 | |
| 12 | 2017 | 42 | |
| 13 | 2019 | 40 | |
| 14 | 2011 | 40 | |
| 15 | 2019 | 39 | |
| 16 | 2021 | 39 | |
| 17 | 2021 | 38 | |
| 18 | 2014 | 38 | |
| 19 | 2009 | 37 | |
| 20 | 2009 | 37 |
About I. Parra
I. Parra is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Electrical and Electronic Engineering, Aerospace Engineering and Safety, Risk, Reliability and Quality, having authored 84 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (46 papers), Video Surveillance and Tracking Methods (40 papers), Advanced Neural Network Applications (16 papers), Advanced Vision and Imaging (14 papers), Robotics and Sensor-Based Localization (12 papers), Indoor and Outdoor Localization Technologies (10 papers), Image and Object Detection Techniques (8 papers) and Remote Sensing and LiDAR Applications (6 papers). The work is most often cited by research in Automotive Engineering (989 citations), Computer Vision and Pattern Recognition (1.1k citations), Safety, Risk, Reliability and Quality (325 citations), Media Technology (178 citations) and Civil and Structural Engineering (357 citations). I. Parra has collaborated with scholars based in Spain, Australia and Germany. Frequent co-authors include Miguel Ángel Sotelo, David Fernández Llorca, Rubén Izquierdo, Manuel Ocaña, Luis M. Bergasa, R. Quintero, Iván García Daza, Vicente Milanés, Carlos Fernández and Miguel Ángel García-Garrido. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Sensors, IEEE Access, Expert Systems with Applications and Robotica.
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.