Eduardo Arnold
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Autonomous Vehicle Technology and Safety 5
- Vehicle emissions and performance 1
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- Advanced Neural Network Applications 3
- Medical Image Segmentation Techniques 1
- Co-authors
- Mehrdad Dianati (9 shared papers)Saber Fallah (5 shared papers)Omar Y. Al-Jarrah (2 shared papers)David Oxtoby (2 shared papers)Alex Mouzakitis (2 shared papers)Sajjad Mozaffari (4 shared papers)Riccardo Berta (3 shared papers)Francesco Bellotti (3 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (2 papers)Sensors (1 paper)IEEE Robotics and Automation Letters (1 paper)Electronics (1 paper)IEEE Transactions on Intelligent Vehicles (1 paper)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Eduardo Arnold
9 papers receiving 783 citations
Eduardo Arnold's Hit Papers
Peers
Comparison fields: 5 of 64
- Automotive Engineering 290
- Computer Vision and Pattern Recognition 463
- Instrumentation 44
- Geology 67
- Aerospace Engineering 216
Countries citing papers authored by Eduardo Arnold
This map shows the geographic impact of Eduardo Arnold'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 Eduardo Arnold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Arnold more than expected).
Fields of papers citing papers by Eduardo Arnold
This network shows the impact of papers produced by Eduardo Arnold. 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 Eduardo Arnold. The network helps show where Eduardo Arnold may publish in the future.
Co-authors
The 13 scholars most cited alongside Eduardo Arnold, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on 3D Object Detection Methods for Autonomous Driving Applications Hit paper breakdown → | 2019 | 464 |
| 2 | 2020 | 214 | |
| 3 | 2021 | 54 | |
| 4 | 2022 | 53 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 4 | |
| 9 | 2021 | 1 |
About Eduardo Arnold
Eduardo Arnold is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering and Building and Construction, having authored 9 papers that have together received 804 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Neural Network Applications (3 papers), Traffic Prediction and Management Techniques (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Traffic control and management (2 papers), Vehicle emissions and performance (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Automotive Engineering (290 citations), Computer Vision and Pattern Recognition (463 citations), Instrumentation (44 citations), Geology (67 citations) and Aerospace Engineering (216 citations). Eduardo Arnold has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Mehrdad Dianati, Saber Fallah, Omar Y. Al-Jarrah, David Oxtoby, Alex Mouzakitis, Sajjad Mozaffari, Riccardo Berta, Francesco Bellotti, Alessandro De Gloria and Ashfaqur Rahman. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Sensors, IEEE Robotics and Automation Letters, Electronics and IEEE Transactions on Intelligent Vehicles.
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.