Jos Elfring

1.0k total citations · 1 hit paper
28 papers, 696 citations indexed

About

Jos Elfring is a scholar working on Artificial Intelligence, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Jos Elfring has authored 28 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Automotive Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Jos Elfring's work include Autonomous Vehicle Technology and Safety (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Robotics and Sensor-Based Localization (6 papers). Jos Elfring is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Robotics and Sensor-Based Localization (6 papers). Jos Elfring collaborates with scholars based in Netherlands, United States and Switzerland. Jos Elfring's co-authors include René van de Molengraft, Elena Torta, M. Steinbuch, J. M. M. Montiel, Michael Beetz, Kai Häußermann, Oliver Zweigle, Dorian Gálvez‐López, Raffaello D’Andrea and Rob Janssen and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Computers and Electronics in Agriculture.

In The Last Decade

Jos Elfring

25 papers receiving 664 citations

Hit Papers

RoboEarth 2011 2026 2016 2021 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RoboEarth
    2011 301 citations Markus Waibel, Michael Beetz et al. IEEE Robotics & Automation Magazine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jos Elfring Netherlands 8 397 222 210 180 146 28 696
Wim Meeussen United States 10 407 1.0× 182 0.8× 145 0.7× 296 1.6× 69 0.5× 21 736
David C. Conner United States 15 311 0.8× 130 0.6× 101 0.5× 434 2.4× 67 0.5× 42 825
Joni Pajarinen Finland 13 374 0.9× 77 0.3× 391 1.9× 240 1.3× 80 0.5× 52 875
Adam Jacoff United States 17 319 0.8× 216 1.0× 101 0.5× 286 1.6× 86 0.6× 50 823
Bakir Lačević Bosnia and Herzegovina 14 433 1.1× 109 0.5× 117 0.6× 369 2.0× 43 0.3× 50 696
Matthieu Herrb France 11 161 0.4× 144 0.6× 159 0.8× 297 1.6× 130 0.9× 18 584
Adolfo Perrusquía United Kingdom 19 542 1.4× 76 0.3× 387 1.8× 90 0.5× 80 0.5× 76 956
Miroslav Kulich Czechia 13 148 0.4× 133 0.6× 98 0.5× 371 2.1× 132 0.9× 56 696
Max Bajracharya United States 17 258 0.6× 162 0.7× 109 0.5× 455 2.5× 48 0.3× 34 896
Yehu Shen China 18 502 1.3× 305 1.4× 135 0.6× 193 1.1× 71 0.5× 62 926

Countries citing papers authored by Jos Elfring

Since Specialization
Citations

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

Fields of papers citing papers by Jos Elfring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jos Elfring

This figure shows the co-authorship network connecting the top 25 collaborators of Jos Elfring. A scholar is included among the top collaborators of Jos Elfring 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 Jos Elfring. Jos Elfring 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.
Elfring, Jos, et al.. (2024). SDS++: Online Situation-Aware Drivable Space Estimation for Automated Driving. IEEE Transactions on Intelligent Vehicles. 10(3). 2140–2151.
2.
Elfring, Jos, et al.. (2024). Semantic learning from keyframe demonstration using object attribute constraints. Frontiers in Robotics and AI. 11. 1340334–1340334.
3.
Elfring, Jos, et al.. (2024). Prediction Horizon Requirements for Automated Driving: Optimizing Safety, Comfort, and Efficiency. TU/e Research Portal. 2575–2582. 2 indexed citations
4.
Silvaş, Emilia, et al.. (2023). Robustness Benchmark of Road User Trajectory Prediction Models for Automated Driving. IFAC-PapersOnLine. 56(2). 4865–4870. 1 indexed citations
5.
Bruyninckx, Herman, et al.. (2022). Local-To-Global Hypotheses for Robust Robot Localization. Frontiers in Robotics and AI. 9. 887261–887261. 2 indexed citations
6.
Silvaş, Emilia, et al.. (2022). Situation-Aware Drivable Space Estimation for Automated Driving. IEEE Transactions on Intelligent Transportation Systems. 23(7). 9615–9629. 3 indexed citations
7.
Elfring, Jos, Elena Torta, & René van de Molengraft. (2021). Particle Filters: A Hands-On Tutorial. Sensors. 21(2). 438–438. 120 indexed citations
8.
Elfring, Jos, et al.. (2020). Vehicle Localization Using a Traffic Sign Map. Data Archiving and Networked Services (DANS). 1–6. 5 indexed citations
9.
Elfring, Jos, et al.. (2020). Multiple-Joint Pedestrian Tracking Using Periodic Models. Sensors. 20(23). 6917–6917. 5 indexed citations
10.
Meijer, Rob R., et al.. (2017). Predicting the intention of cyclists. Data Archiving and Networked Services (DANS). 1–3. 3 indexed citations
11.
Elfring, Jos, et al.. (2016). Multisensor simultaneous vehicle tracking and shape estimation. TU/e Research Portal. 630–635. 6 indexed citations
12.
Nunen, Ellen van, et al.. (2016). Applying V2V for operational safety within cooperative adaptive cruise control. 1–12. 1 indexed citations
13.
Elfring, Jos, René van de Molengraft, & M. Steinbuch. (2014). Learning intentions for improved human motion prediction. Robotics and Autonomous Systems. 62(4). 591–602. 43 indexed citations
14.
Elfring, Jos, René van de Molengraft, & M. Steinbuch. (2014). Semi-task-dependent and uncertainty-driven world model maintenance. Autonomous Robots. 38(1). 1–15. 3 indexed citations
15.
Elfring, Jos, et al.. (2012). Task-based world model verification. TU/e Research Portal (Eindhoven University of Technology). 1 indexed citations
16.
Elfring, Jos, et al.. (2012). Semantic world modeling using probabilistic multiple hypothesis anchoring. Robotics and Autonomous Systems. 61(2). 95–105. 44 indexed citations
17.
Waibel, Markus, Michael Beetz, Raffaello D’Andrea, et al.. (2011). RoboEarth - A World Wide Web for Robots. mediaTUM (Technical University of Munich). 18(2). 80 indexed citations
18.
Waibel, Markus, Michael Beetz, Javier Civera, et al.. (2011). RoboEarth. IEEE Robotics & Automation Magazine. 18(2). 69–82. 301 indexed citations breakdown →
19.
Elfring, Jos, et al.. (2011). Two level world modeling for cooperating robots using a multiple hypotheses filter. TU/e Research Portal. 815–820. 5 indexed citations
20.
Oomen, Tom, et al.. (2010). A robust-control-relevant model validation approach for continuously variable transmission control. TU/e Research Portal. 3518–3523. 7 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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