Daniel Goehring

485 total citations
28 papers, 310 citations indexed

About

Daniel Goehring is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Daniel Goehring has authored 28 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Automotive Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in Daniel Goehring's work include Autonomous Vehicle Technology and Safety (10 papers), Robotic Path Planning Algorithms (7 papers) and Robotics and Sensor-Based Localization (7 papers). Daniel Goehring is often cited by papers focused on Autonomous Vehicle Technology and Safety (10 papers), Robotic Path Planning Algorithms (7 papers) and Robotics and Sensor-Based Localization (7 papers). Daniel Goehring collaborates with scholars based in Germany and United States. Daniel Goehring's co-authors include Raúl Rojas, Daniel Neumann, Tobias Langner, Trevor Darrell, Hyun Oh Song, Mario Fritz, Andreas Philipp, Stefan Lange, Bennet Fischer and Bingyi Cao and has published in prestigious journals such as IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters and FreiDok plus (Universitätsbibliothek Freiburg).

In The Last Decade

Daniel Goehring

24 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Goehring Germany 10 154 108 93 79 45 28 310
Hossein Tehrani Japan 10 155 1.0× 157 1.5× 114 1.2× 71 0.9× 53 1.2× 20 321
Haibao Yu China 5 253 1.6× 138 1.3× 86 0.9× 40 0.5× 60 1.3× 11 395
Jay Gowdy United States 9 147 1.0× 126 1.2× 89 1.0× 71 0.9× 39 0.9× 17 367
Erke Shang China 10 283 1.8× 169 1.6× 123 1.3× 94 1.2× 47 1.0× 25 382
Kyounghwan An South Korea 8 215 1.4× 185 1.7× 104 1.1× 81 1.0× 26 0.6× 10 423
Zhenglong Guo China 4 193 1.3× 91 0.8× 83 0.9× 27 0.3× 48 1.1× 6 299
Jinze Song China 10 174 1.1× 136 1.3× 81 0.9× 48 0.6× 61 1.4× 30 318
Jirui Yuan China 7 291 1.9× 139 1.3× 91 1.0× 41 0.5× 65 1.4× 10 448
Pengpeng Sun China 9 192 1.2× 200 1.9× 98 1.1× 65 0.8× 97 2.2× 15 460
Peide Cai Hong Kong 9 195 1.3× 148 1.4× 45 0.5× 57 0.7× 29 0.6× 12 326

Countries citing papers authored by Daniel Goehring

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Goehring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Goehring

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Goehring. A scholar is included among the top collaborators of Daniel Goehring 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 Daniel Goehring. Daniel Goehring 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.
Yao, Yue, et al.. (2025). EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations. IEEE Robotics and Automation Letters. 10(9). 9478–9485.
2.
Yao, Yue, et al.. (2024). Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. FreiDok plus (Universitätsbibliothek Freiburg). 488–495. 2 indexed citations
3.
4.
Yao, Yue, et al.. (2023). An Empirical Bayes Analysis of Object Trajectory Representation Models. 902–909. 3 indexed citations
5.
Cao, Bingyi, et al.. (2023). Cooperative LiDAR Localization and Mapping for V2X Connected Autonomous Vehicles. 11019–11026. 4 indexed citations
6.
Goehring, Daniel, et al.. (2021). Path Following with Deep Reinforcement Learning for Autonomous Cars. 173–181. 2 indexed citations
7.
Goehring, Daniel, et al.. (2021). Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets. IEEE Robotics and Automation Letters. 6(2). 2761–2767. 14 indexed citations
8.
Goehring, Daniel, et al.. (2020). Fuzzy Logic-based Adaptive Cruise Control for Autonomous Model Car. 121–130. 8 indexed citations
9.
Cao, Bingyi, et al.. (2020). GALNet: An End-to-End Deep Neural Network for Ground Localization of Autonomous Cars. 39–50. 3 indexed citations
10.
11.
Goehring, Daniel, et al.. (2019). Robust Framework for intelligent Gripping Point Detection. 21 5. 717–723. 2 indexed citations
12.
Philipp, Andreas & Daniel Goehring. (2019). Analytic Collision Risk Calculation for Autonomous Vehicle Navigation. 1744–1750. 16 indexed citations
13.
Goehring, Daniel, et al.. (2019). Perceptionbased Intelligent Materialhandling in Industrial Logistics Environments. 146–151. 2 indexed citations
14.
Mohammadi, Mostafa, et al.. (2018). Autonomous Car Navigation Using Vector Fields. 794–799. 1 indexed citations
15.
Goehring, Daniel, et al.. (2017). Stable timed elastic bands with loose ends. 186–192. 6 indexed citations
16.
Goehring, Daniel, et al.. (2017). Flexible unit A-star trajectory planning for autonomous vehicles on structured road maps. 7–12. 35 indexed citations
17.
Langner, Tobias, et al.. (2016). Traffic awareness driver assistance based on stereovision, eye-tracking, and head-up display. 3167–3173. 21 indexed citations
18.
Goehring, Daniel, et al.. (2016). Pole-based localization for autonomous vehicles in urban scenarios. 2161–2166. 61 indexed citations
19.
Lange, Stefan, et al.. (2016). Online vehicle detection using deep neural networks and lidar based preselected image patches. 954–959. 23 indexed citations
20.
Goehring, Daniel, et al.. (2016). Extracting path graphs from vehicle trajectories. 1260–1264. 1 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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