Michael Botsch

484 total citations
46 papers, 301 citations indexed

About

Michael Botsch is a scholar working on Automotive Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Botsch has authored 46 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Automotive Engineering, 19 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Botsch's work include Autonomous Vehicle Technology and Safety (27 papers), Anomaly Detection Techniques and Applications (12 papers) and Traffic Prediction and Management Techniques (11 papers). Michael Botsch is often cited by papers focused on Autonomous Vehicle Technology and Safety (27 papers), Anomaly Detection Techniques and Applications (12 papers) and Traffic Prediction and Management Techniques (11 papers). Michael Botsch collaborates with scholars based in Germany, Spain and Australia. Michael Botsch's co-authors include Wolfgang Utschick, Gennaro Notomista, Mario Selvaggio, Stanislao Grazioso, Josef A. Nossek, Marcus Müller, Sebastian Sardiña, Andrés García Higuera, Eduardo Sánchez Morales and Markus Maurer and has published in prestigious journals such as Sensors, Journal of Air Transport Management and IEEE Transactions on Intelligent Vehicles.

In The Last Decade

Michael Botsch

44 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Botsch Germany 10 165 78 71 59 49 46 301
Jane Macfarlane United States 10 60 0.4× 45 0.6× 44 0.6× 24 0.4× 40 0.8× 31 259
Gang Zhong China 12 64 0.4× 137 1.8× 61 0.9× 22 0.4× 48 1.0× 33 384
Michal Weiszer United Kingdom 14 125 0.8× 64 0.8× 27 0.4× 29 0.5× 179 3.7× 32 522
Yanchao Liu United States 8 102 0.6× 53 0.7× 41 0.6× 18 0.3× 31 0.6× 16 298
Yuxiang Feng United Kingdom 11 114 0.7× 76 1.0× 57 0.8× 67 1.1× 45 0.9× 52 342
Chenxi Liu China 4 233 1.4× 71 0.9× 119 1.7× 71 1.2× 59 1.2× 6 354
Mohammad Mesgarpour United Kingdom 8 90 0.5× 39 0.5× 30 0.4× 23 0.4× 78 1.6× 16 390
Jinghan Sun China 9 92 0.6× 55 0.7× 90 1.3× 47 0.8× 54 1.1× 21 326
Jiatong Du China 3 260 1.6× 132 1.7× 101 1.4× 69 1.2× 84 1.7× 11 369

Countries citing papers authored by Michael Botsch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Botsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Botsch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Botsch. A scholar is included among the top collaborators of Michael Botsch 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 Michael Botsch. Michael Botsch 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.
Dörn, Sebastian, et al.. (2024). Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models. 3461–3470. 6 indexed citations
2.
Botsch, Michael, et al.. (2023). Data Collection and Safety Use Cases in Smart Infrastructures. 333–336.
3.
Botsch, Michael, et al.. (2023). SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction. 3914–3921. 1 indexed citations
4.
5.
Dörn, Sebastian, et al.. (2023). Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain. 1172–1179. 4 indexed citations
6.
Botsch, Michael, et al.. (2022). Interaction-aware Prediction of Occupancy Regions based on a POMDP Framework. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 980–987. 3 indexed citations
7.
Botsch, Michael, et al.. (2022). A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 687–694. 7 indexed citations
8.
Morales, Eduardo Sánchez, et al.. (2022). Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction. Sensors. 22(12). 4498–4498. 3 indexed citations
9.
Botsch, Michael, et al.. (2022). Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios. 2022 IEEE Intelligent Vehicles Symposium (IV). 484–491. 7 indexed citations
10.
11.
Botsch, Michael, et al.. (2021). Interpretable Early Prediction of Lane Changes Using a Constrained Neural Network Architecture. mediaTUM (Technical University of Munich). 58. 493–499. 1 indexed citations
12.
Morales, Eduardo Sánchez, et al.. (2019). Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance. 2164–2171. 6 indexed citations
13.
Botsch, Michael, et al.. (2018). Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic. Journal of Advances in Information Technology. 9(1). 1–9. 12 indexed citations
14.
15.
Müller, Marcus, et al.. (2018). Machine Learning Based Prediction of Crash Severity Distributions for Mitigation Strategies. Journal of Advances in Information Technology. 9(1). 15–24. 13 indexed citations
16.
Botsch, Michael, et al.. (2017). Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm. ArXiv.org. 1244–1251. 6 indexed citations
17.
Botsch, Michael, et al.. (2016). Planning of Safe Trajectories in Dynamic Multi-Object Traffic-Scenarios. 8 indexed citations
18.
Notomista, Gennaro, et al.. (2016). A fast airplane boarding strategy using online seat assignment based on passenger classification. Journal of Air Transport Management. 53. 140–149. 50 indexed citations
19.
Botsch, Michael, et al.. (2011). Model-Based Analysis of Sensor-Noise in Predictive Passive Safety Algorithms. mediaTUM (Technical University of Munich). 10 indexed citations
20.
Dietl, Guido, Michael Botsch, F.A. Dietrich, & Wolfgang Utschick. (2005). Robust and reduced-rank matrix wiener filter based on the block conjugate gradient algorithm. 555–559. 2 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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