Jürgen Wiest
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Building and Construction top 10%
- Aerospace Engineering
- Co-authors
- Klaus DietmayerHendrik DeuschStephan ReuterDominik NußFelix KunzMagdalena SzczotMichael MünzAlexander Scheel
- Topics
- Autonomous Vehicle Technology and Safety (6 papers)Video Surveillance and Tracking Methods (4 papers)Target Tracking and Data Fusion in Sensor Networks (3 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Partner nations
- GermanyNew Zealand
In The Last Decade
Jürgen Wiest
12 papers receiving 441 citations
Peers
Comparison fields: 5 of 53
- Automotive Engineering 274
- Computer Vision and Pattern Recognition 168
- Artificial Intelligence 139
- Building and Construction 89
- Aerospace Engineering 81
Countries citing papers authored by Jürgen Wiest
This map shows the geographic impact of Jürgen Wiest'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 Jürgen Wiest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Wiest more than expected).
Fields of papers citing papers by Jürgen Wiest
This network shows the impact of papers produced by Jürgen Wiest. 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 Jürgen Wiest. The network helps show where Jürgen Wiest may publish in the future.
Co-authorship network of co-authors of Jürgen Wiest
This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Wiest. A scholar is included among the top collaborators of Jürgen Wiest 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 Jürgen Wiest. Jürgen Wiest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 75 | |
| 2 | 15 | |
| 3 | 9 | |
| 4 | 19 | |
| 5 | 11 | |
| 6 | 12 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 245 | |
| 10 | 46 | |
| 11 | Current Challenges in Vision-Based Driver Assistance. | 2 |
| 12 | 1 |
About Jürgen Wiest
Jürgen Wiest is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation, having authored 12 papers that have together received 456 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Video Surveillance and Tracking Methods (4 papers) and Target Tracking and Data Fusion in Sensor Networks (3 papers). The work is most often cited by research in Automotive Engineering (274 citations), Computer Vision and Pattern Recognition (168 citations) and Safety, Risk, Reliability and Quality (70 citations). Jürgen Wiest has collaborated with scholars based in Germany and New Zealand. Frequent co-authors include Klaus Dietmayer, Hendrik Deusch, Stephan Reuter, Dominik Nuß, Felix Kunz, Magdalena Szczot, Michael Münz, Alexander Scheel, Martin Bach and Martin Fritzsche. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems.
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.