Konrad Doll

1.5k total citations
41 papers, 1.1k citations indexed

About

Konrad Doll is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Konrad Doll has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Automotive Engineering, 22 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Konrad Doll's work include Autonomous Vehicle Technology and Safety (24 papers), Video Surveillance and Tracking Methods (16 papers) and Traffic and Road Safety (9 papers). Konrad Doll is often cited by papers focused on Autonomous Vehicle Technology and Safety (24 papers), Video Surveillance and Tracking Methods (16 papers) and Traffic and Road Safety (9 papers). Konrad Doll collaborates with scholars based in Germany and Netherlands. Konrad Doll's co-authors include Frank Johannes, U. Brunsmann, Georg Sigl, Michael Goldhammer, Sebastian Köhler, Bernhard Sick, Sebastian Bauer, K. Antreich, Klaus Dietmayer and M. Hähnle and has published in prestigious 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.

In The Last Decade

Konrad Doll

38 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konrad Doll Germany 17 487 392 381 341 176 41 1.1k
Junsoo Kim South Korea 11 134 0.3× 228 0.6× 439 1.2× 52 0.2× 57 0.3× 18 705
Wontaek Lim South Korea 14 196 0.4× 284 0.7× 346 0.9× 371 1.1× 28 0.2× 32 986
Johannes Betz Germany 18 177 0.4× 374 1.0× 623 1.6× 32 0.1× 45 0.3× 88 1.1k
Chulhoon Jang South Korea 9 131 0.3× 209 0.5× 295 0.8× 50 0.1× 24 0.1× 11 557
Kyong-Tak Cho United States 5 496 1.0× 66 0.2× 222 0.6× 115 0.3× 30 0.2× 5 671
Ilja Radusch Germany 18 570 1.2× 181 0.5× 357 0.9× 25 0.1× 30 0.2× 102 973
Takuya Azumi Japan 16 152 0.3× 299 0.8× 261 0.7× 486 1.4× 15 0.1× 94 1.2k
Jochen Seitz Germany 17 626 1.3× 110 0.3× 148 0.4× 34 0.1× 37 0.2× 107 1.1k
Ryan Gerdes United States 15 485 1.0× 80 0.2× 197 0.5× 115 0.3× 21 0.1× 60 864

Countries citing papers authored by Konrad Doll

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Doll, Konrad, et al.. (2024). Influence of Background Color on 6D Pose Tracking Accuracy. 1–6.
2.
Hetzel, Manuel W., et al.. (2023). The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. 1–7. 1 indexed citations
3.
Doll, Konrad, et al.. (2022). Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users’ Trajectories. IEEE Transactions on Intelligent Vehicles. 8(3). 2592–2603. 4 indexed citations
4.
Doll, Konrad, et al.. (2022). A Holistic View on Probabilistic Trajectory Forecasting – Case Study. Cyclist Intention Detection. 2022 IEEE Intelligent Vehicles Symposium (IV). 265–272. 4 indexed citations
5.
Hetzel, Manuel W., et al.. (2021). Smart Infrastructure: A Research Junction. arXiv (Cornell University). 1–4. 2 indexed citations
6.
Doll, Konrad, et al.. (2021). Cyclist Motion State Forecasting - Going beyond Detection. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 5. 1–8.
7.
Doll, Konrad, et al.. (2021). Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. 2620–2626. 3 indexed citations
8.
Doll, Konrad, et al.. (2019). Pose Based Trajectory Forecast of Vulnerable Road Users. 1200–1207. 2 indexed citations
9.
Doll, Konrad, et al.. (2019). Text/Conference Paper. Gesellschaft für Informatik (GI). 1 indexed citations
10.
Doll, Konrad, et al.. (2018). Human Pose Estimation in Real Traffic Scenes. 518–523. 9 indexed citations
11.
12.
Goldhammer, Michael, et al.. (2016). Trajectory prediction of cyclists using a physical model and an artificial neural network. 833–838. 50 indexed citations
13.
Hahn, Stefan, et al.. (2015). New control scheme for a lane-keeping evasive maneuver exploiting the free space optimally. 55. 856–861. 5 indexed citations
14.
Goldhammer, Michael, et al.. (2014). Analysis on termination of pedestrians' gait at urban intersections. 1758–1763. 14 indexed citations
15.
Doll, Konrad, et al.. (2014). Real-time ego-motion estimation using Lidar and a vehicle model based Extended Kalman Filter. 431–438. 10 indexed citations
16.
Köhler, Sebastian, et al.. (2013). Autonomous evasive maneuvers triggered by infrastructure-based detection of pedestrian intentions. 519–526. 25 indexed citations
17.
Doll, Konrad, et al.. (2012). Transponder- and Camera-based advanced driver assistance system. 293–298. 16 indexed citations
18.
Köhler, Sebastian, Michael Goldhammer, Sebastian Bauer, et al.. (2012). Early detection of the Pedestrian's intention to cross the street. 1759–1764. 47 indexed citations
19.
Doll, Konrad, Frank Johannes, & Georg Sigl. (1992). Accurate net models for placement improvement by network flow methods. International Conference on Computer Aided Design. 594–597. 1 indexed citations
20.
Doll, Konrad, Frank Johannes, & Georg Sigl. (1991). DOMINO: Deterministic Placement Improvement with Hill-Climbing Capabilities.. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 91–100. 28 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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