I. Parra

2.8k total citations
79 papers, 2.0k citations indexed

About

I. Parra is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, I. Parra has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 43 papers in Automotive Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in I. Parra's work include Autonomous Vehicle Technology and Safety (42 papers), Video Surveillance and Tracking Methods (37 papers) and Advanced Neural Network Applications (13 papers). I. Parra is often cited by papers focused on Autonomous Vehicle Technology and Safety (42 papers), Video Surveillance and Tracking Methods (37 papers) and Advanced Neural Network Applications (13 papers). I. Parra collaborates with scholars based in Spain, Australia and Italy. I. Parra's co-authors include Miguel Ángel Sotelo, David Fernández Llorca, Rubén Izquierdo, Miguel Urrestarazu, Manuel Ocaña, Luis M. Bergasa, R. Quintero, Iván García Daza, Vicente Milanés and Carlos Fernández and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

I. Parra

76 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I. Parra Spain 28 973 898 338 312 273 79 2.0k
David Fernández Llorca Spain 31 1.4k 1.5× 1.2k 1.3× 396 1.2× 366 1.2× 363 1.3× 120 2.9k
José María Armingol Spain 30 2.1k 2.2× 833 0.9× 181 0.5× 233 0.7× 771 2.8× 135 3.4k
Lu Xiong China 30 713 0.7× 1.8k 2.0× 235 0.7× 151 0.5× 584 2.1× 211 3.1k
Hao Xu United States 26 594 0.6× 1.3k 1.4× 161 0.5× 522 1.7× 196 0.7× 98 2.2k
Pietro Cerri Italy 21 881 0.9× 703 0.8× 77 0.2× 99 0.3× 297 1.1× 32 1.4k
Sébastien Glaser France 23 971 1.0× 1.6k 1.8× 112 0.3× 298 1.0× 589 2.2× 121 2.8k
Wei Zhan United States 20 1.3k 1.3× 782 0.9× 62 0.2× 155 0.5× 402 1.5× 64 2.3k
Huijing Zhao China 28 1.5k 1.6× 767 0.9× 57 0.2× 190 0.6× 548 2.0× 128 2.6k
Denis F. Wolf Brazil 20 811 0.8× 610 0.7× 88 0.3× 88 0.3× 434 1.6× 101 1.6k
Saber Fallah United Kingdom 20 775 0.8× 1.4k 1.6× 579 1.7× 85 0.3× 489 1.8× 60 3.1k

Countries citing papers authored by I. Parra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of I. Parra

This figure shows the co-authorship network connecting the top 25 collaborators of I. Parra. A scholar is included among the top collaborators of I. Parra 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 I. Parra. I. Parra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Llorca, David Fernández, et al.. (2024). Attribute annotation and bias evaluation in visual datasets for autonomous driving. Journal Of Big Data. 11(1). 1 indexed citations
2.
Ballardini, Augusto Luis, Daniele Cattaneo, Rubén Izquierdo, et al.. (2024). An Ego-Lane Estimation Method With Sensor Failure Modeling. IEEE Access. 12. 34539–34552. 2 indexed citations
3.
4.
5.
Izquierdo, Rubén, et al.. (2022). Testing Predictive Automated Driving Systems: Lessons Learned and Future Recommendations. IEEE Intelligent Transportation Systems Magazine. 14(6). 77–93. 10 indexed citations
6.
Ballardini, Augusto Luis, et al.. (2021). Urban Intersection Classification: A Comparative Analysis. Sensors. 21(18). 6269–6269. 4 indexed citations
7.
Izquierdo, Rubén, et al.. (2021). Vehicle Lane Change Prediction on Highways Using Efficient Environment Representation and Deep Learning. IEEE Access. 9. 119454–119465. 6 indexed citations
8.
Hernández, Noelia, et al.. (2021). Are We Ready for Accurate and Unbiased Fine-Grained Vehicle Classification in Realistic Environments?. IEEE Access. 9. 116338–116355. 8 indexed citations
9.
Parra, I., et al.. (2021). CAPformer: Pedestrian Crossing Action Prediction Using Transformer. Sensors. 21(17). 5694–5694. 34 indexed citations
10.
Izquierdo, Rubén, et al.. (2020). Simple Baseline for Vehicle Pose Estimation: Experimental Validation. IEEE Access. 8. 132539–132550. 4 indexed citations
11.
Izquierdo, Rubén, et al.. (2019). The PREVENTION dataset: a novel benchmark for PREdiction of VEhicles iNTentIONs. 3114–3121. 30 indexed citations
12.
Izquierdo, Rubén, et al.. (2019). Experimental validation of lane-change intention prediction methodologies based on CNN and LSTM. 3657–3662. 36 indexed citations
13.
Parra, I., et al.. (2018). Pedestrian Path, Pose, and Intention Prediction Through Gaussian Process Dynamical Models and Pedestrian Activity Recognition. IEEE Transactions on Intelligent Transportation Systems. 20(5). 1803–1814. 117 indexed citations
14.
Izquierdo, Rubén, I. Parra, David Fernández Llorca, & Miguel Ángel Sotelo. (2018). Multi-Radar Self-Calibration Method using High-Definition Digital Maps for Autonomous Driving. 2197–2202. 11 indexed citations
15.
Parra, I., et al.. (2017). The Experience of DRIVERTIVE-DRIVERless cooperaTIve VEhicle-Team in the 2016 GCDC. IEEE Transactions on Intelligent Transportation Systems. 19(4). 1322–1334. 21 indexed citations
16.
Parra, I., Miguel Ángel Sotelo, David Fernández Llorca, & Carlos Fernández. (2010). Visual Odometry for Accurate Vehicle Localization - An Assistant for GPS Based Navigation. 3 indexed citations
17.
Álvarez-Napagao, Sergio, Miguel Ángel Sotelo, Manuel Ocaña, et al.. (2009). Perception advances in outdoor vehicle detection for automatic cruise control. Robotica. 28(5). 765–779. 10 indexed citations
18.
Sotelo, Miguel Ángel, Roberto Garcı́a, I. Parra, et al.. (2007). Visual odometry for road vehicles—feasibility analysis. Journal of Zhejiang University. Science A. 8(12). 2017–2020. 4 indexed citations
19.
Parra, I., David Fernández Llorca, Miguel Ángel Sotelo, et al.. (2006). Pedestrian recognition in road sequences. International Conference on Signal Processing. 273–278. 3 indexed citations
20.
Sotelo, Miguel Ángel, J. Nuevo, David Fernández Llorca, et al.. (2005). SVM-based obstacles recognition for road vehicle applications. International Joint Conference on Artificial Intelligence. 1740–1741. 1 indexed citations

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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