Erwin de Gelder

540 total citations
19 papers, 321 citations indexed

About

Erwin de Gelder is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Control and Systems Engineering. According to data from OpenAlex, Erwin de Gelder has authored 19 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Automotive Engineering, 10 papers in Safety, Risk, Reliability and Quality and 8 papers in Control and Systems Engineering. Recurrent topics in Erwin de Gelder's work include Autonomous Vehicle Technology and Safety (15 papers), Traffic control and management (8 papers) and Traffic and Road Safety (7 papers). Erwin de Gelder is often cited by papers focused on Autonomous Vehicle Technology and Safety (15 papers), Traffic control and management (8 papers) and Traffic and Road Safety (7 papers). Erwin de Gelder collaborates with scholars based in Netherlands, Italy and Germany. Erwin de Gelder's co-authors include Jan‐Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter, Jeroen Ploeg, Steven Kraines, Eric Cator, J.H. Hogema, Lei Wang, András Várhelyi and Fabio Tango and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

In The Last Decade

Erwin de Gelder

18 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erwin de Gelder Netherlands 11 244 118 104 50 49 19 321
Thomas Ponn Germany 4 237 1.0× 115 1.0× 93 0.9× 59 1.2× 56 1.1× 6 338
Stefan Riedmaier Germany 7 283 1.2× 120 1.0× 141 1.4× 46 0.9× 61 1.2× 8 409
Till Menzel Germany 2 221 0.9× 98 0.8× 87 0.8× 49 1.0× 63 1.3× 3 312
Kazutoshi Nobukawa United States 6 305 1.3× 158 1.3× 166 1.6× 49 1.0× 84 1.7× 8 409
Fabian Schuldt Germany 7 261 1.1× 111 0.9× 103 1.0× 54 1.1× 76 1.6× 8 372
Olaf Op den Camp Netherlands 10 159 0.7× 109 0.9× 72 0.7× 27 0.5× 52 1.1× 17 231
Mansur Arief United States 9 164 0.7× 51 0.4× 63 0.6× 48 1.0× 24 0.5× 21 274
Adrian Zlocki Germany 10 257 1.1× 105 0.9× 120 1.2× 23 0.5× 86 1.8× 48 361
Tobias Moers Germany 5 197 0.8× 68 0.6× 90 0.9× 37 0.7× 31 0.6× 9 283
Moritz Klischat Germany 9 175 0.7× 36 0.3× 109 1.0× 72 1.4× 20 0.4× 11 298

Countries citing papers authored by Erwin de Gelder

Since Specialization
Citations

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

Fields of papers citing papers by Erwin de Gelder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erwin de Gelder. 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 Erwin de Gelder. The network helps show where Erwin de Gelder may publish in the future.

Co-authorship network of co-authors of Erwin de Gelder

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

All Works

19 of 19 papers shown
1.
2.
Gelder, Erwin de & Olaf Op den Camp. (2023). A quantitative method to determine what collisions are reasonably foreseeable and preventable. Safety Science. 167. 106233–106233. 4 indexed citations
3.
Gelder, Erwin de & Olaf Op den Camp. (2023). How certain are we that our automated driving system is safe?. Traffic Injury Prevention. 24(sup1). S131–S140. 5 indexed citations
4.
Gelder, Erwin de, et al.. (2023). PRISMA: A novel approach for deriving probabilistic surrogate safety measures for risk evaluation. Accident Analysis & Prevention. 192. 107273–107273. 6 indexed citations
5.
Gelder, Erwin de, et al.. (2023). Scenario Extraction from a Large Real-World Dataset for the Assessment of Automated Vehicles. 1570–1575. 3 indexed citations
6.
Gelder, Erwin de, Jan‐Pieter Paardekooper, Olaf Op den Camp, et al.. (2022). Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework. IEEE Transactions on Intelligent Vehicles. 7(2). 300–314. 38 indexed citations
7.
Gelder, Erwin de, Eric Cator, Jan‐Pieter Paardekooper, et al.. (2022). Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems. 23(10). 18794–18807. 30 indexed citations
8.
Gelder, Erwin de, Jan‐Pieter Paardekooper, Olaf Op den Camp, et al.. (2022). Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework. IEEE Transactions on Intelligent Vehicles. 1–1. 9 indexed citations
9.
Camp, Olaf Op den, et al.. (2021). Describing I2V Communication in Scenarios for Simulation-Based Safety Assessment of Truck Platooning. Electronics. 10(19). 2362–2362. 2 indexed citations
10.
Gelder, Erwin de, et al.. (2021). Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios. IEEE Access. 9. 168953–168970. 30 indexed citations
11.
Gelder, Erwin de, et al.. (2019). A Method for Scenario Risk Quantification for Automated Driving Systems. 4 indexed citations
12.
Gelder, Erwin de, Jan‐Pieter Paardekooper, Olaf Op den Camp, & Bart De Schutter. (2019). Safety assessment of automated vehicles: how to determine whether we have collected enough field data?. Traffic Injury Prevention. 20(sup1). S162–S170. 20 indexed citations
13.
Paardekooper, Jan‐Pieter, et al.. (2019). Automatic Identification of Critical Scenarios in a Public Dataset of 6000 km of Public-Road Driving. TNO Repository. 12 indexed citations
14.
Gelder, Erwin de, et al.. (2018). Cut-in Scenario Prediction for Automated Vehicles. TU/e Research Portal. 1–7. 17 indexed citations
15.
Paardekooper, Jan‐Pieter, et al.. (2018). StreetWise: scenario-based safety validation of connected automated driving. Repository hosted by TU Delft Library (TU Delft). 2018. 16 indexed citations
16.
Zlocki, Adrian, et al.. (2017). A Comprehensive Evaluation Approach for Highly Automated Driving. RWTH Publications (RWTH Aachen). 1–13. 23 indexed citations
17.
Gelder, Erwin de & Jan‐Pieter Paardekooper. (2017). Assessment of Automated Driving Systems using real-life scenarios. 589–594. 70 indexed citations
18.
Gelder, Erwin de, et al.. (2016). Towards personalised automated driving: Prediction of preferred ACC behaviour based on manual driving. 1211–1216. 19 indexed citations
19.
Gelder, Erwin de, et al.. (2015). Classification for Safety-Critical Car-Cyclist Scenarios Using Machine Learning. 1995–2000. 13 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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