Jos Elfring

26 papers receiving 679 citations

Jos Elfring's Hit Papers

RoboEarth 2011 · 301 citations
3010+5+10Years since publication100200300

Peers

Jos Elfring
Comparison fields: 5 of 75
  • Control and Systems Engineering 399
  • Computer Vision and Pattern Recognition 179
  • Artificial Intelligence 213
  • Computer Networks and Communications 145
  • Mechanical Engineering 221
Replace Adolfo Perrusquía with:
Adolfo Perrusquía United Kingdom
Yehu Shen China
Jih‐Gau Juang Taiwan
David C. Conner United States
Paulo Costa Portugal
Bakir Lačević Bosnia and Herzegovina
Jeremy Ma United States
Max Bajracharya United States
Joni Pajarinen Finland
Pengfei Wang China
Jos Elfring relative to Adolfo Perrusquía United Kingdom Adolfo Perrusquía's profile →
Citations per field
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Adolfo Perrusquía · 1×
Citations per year

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-authors

The 24 scholars most cited alongside Jos Elfring, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jos Elfring Line = papers co-authored together Jos Elfring links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RoboEarth
Hit paper breakdown →
2011301
2 2021127
3 201180
4 201444
5 201244
6 201628
7
Tech United Eindhoven Team Description 2012
201210
8 202110
9 20218
10 20107
11 20227
12 20166
13 20205
14 20115
15 20205
16 20143
17 20133
18 20173
19 20223
20 20222

About Jos Elfring

Jos Elfring is a scholar working on Artificial Intelligence, Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 28 papers that have together received 709 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Robotics and Sensor-Based Localization (6 papers), Anomaly Detection Techniques and Applications (5 papers), Robotics and Automated Systems (4 papers), Time Series Analysis and Forecasting (4 papers), Robotic Path Planning Algorithms (3 papers) and Indoor and Outdoor Localization Technologies (3 papers). The work is most often cited by research in Control and Systems Engineering (399 citations), Computer Vision and Pattern Recognition (179 citations), Artificial Intelligence (213 citations), Computer Networks and Communications (145 citations) and Mechanical Engineering (221 citations). Jos Elfring has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include René van de Molengraft, Elena Torta, M. Steinbuch, Moritz Tenorth, Alexander Perzylo, J. M. M. Montiel, Dorian Gálvez‐López, Kai Häußermann, Javier Civera and Oliver Zweigle. Their work appears in journals such as Sensors, Robotics and Autonomous Systems, IEEE Robotics & Automation Magazine, IEEE Transactions on Intelligent Transportation Systems 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.

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