Konrad Doll
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Hardware and Architecture top 2%
- Safety, Risk, Reliability and Quality top 2%
- Co-authors
- Frank JohannesU. BrunsmannGeorg SiglMichael GoldhammerSebastian KöhlerBernhard SickSebastian BauerK. Antreich
- Topics
- Autonomous Vehicle Technology and Safety (24 papers)Video Surveillance and Tracking Methods (16 papers)Traffic and Road Safety (9 papers)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsIEEE Transactions on Very Large Scale Integration (VLSI) SystemsIEEE Transactions on Intelligent Vehicles
- Partner nations
- GermanyNetherlands
In The Last Decade
Konrad Doll
38 papers receiving 983 citations
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 487
- Computer Vision and Pattern Recognition 392
- Automotive Engineering 381
- Hardware and Architecture 341
- Safety, Risk, Reliability and Quality 176
Countries citing papers authored by Konrad Doll
This map shows the geographic impact of Konrad Doll'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 Konrad Doll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konrad Doll more than expected).
Fields of papers citing papers by Konrad Doll
This network shows the impact of papers produced by Konrad Doll. 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 Konrad Doll. The network helps show where Konrad Doll may publish in the future.
Co-authorship network of co-authors of Konrad Doll
This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Doll. A scholar is included among the top collaborators of Konrad Doll 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 Konrad Doll. Konrad Doll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 14 | |
| 12 | 50 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 10 | |
| 16 | 25 | |
| 17 | 16 | |
| 18 | 47 | |
| 19 | 1 | |
| 20 | DOMINO: Deterministic Placement Improvement with Hill-Climbing Capabilities. | 28 |
About Konrad Doll
Konrad Doll is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (24 papers), Video Surveillance and Tracking Methods (16 papers) and Traffic and Road Safety (9 papers). The work is most often cited by research in Hardware and Architecture (341 citations), Automotive Engineering (381 citations) and Safety, Risk, Reliability and Quality (176 citations). Konrad Doll has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Frank Johannes, U. Brunsmann, Georg Sigl, Michael Goldhammer, Sebastian Köhler, Bernhard Sick, Sebastian Bauer, K. Antreich, Klaus Dietmayer and M. Hähnle. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) 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.