Martin Holder

402 total citations
14 papers, 240 citations indexed

About

Martin Holder is a scholar working on Aerospace Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Martin Holder has authored 14 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 6 papers in Automotive Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Martin Holder's work include Autonomous Vehicle Technology and Safety (6 papers), Advanced Optical Sensing Technologies (5 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). Martin Holder is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Advanced Optical Sensing Technologies (5 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). Martin Holder collaborates with scholars based in Germany, Belgium and Austria. Martin Holder's co-authors include Hermann Winner, Tim A. Wheeler, Mykel J. Kochenderfer, Michael W. Maier, Helmut Schreiber, Oliver Bringmann, Wolfgang Rosenstiel, C. Popp, J. Marius Zöllner and Marc René Zofka and has published in prestigious journals such as Energies, IEEE Sensors Journal and TUbilio (Technical University of Darmstadt).

In The Last Decade

Martin Holder

13 papers receiving 231 citations

Peers

Martin Holder

AE

EEE

CVPR

INSTR

Zebang Yang China

Werner Ritter Germany

Julien Rebut France

Louis J. Glaab United States

Nicolas Scheiner Germany

Aljoša Ošep Germany

Paul Murcutt United Kingdom

Yiyang Zhou China

Julien Moras France

Lue Fan China

Zebang Yang China

Martin Holder

78 ×0.6

AE

91 ×0.9

AE

38 ×0.7

EEE

187 ×3.8

CVPR

22 ×0.5

INSTR

Citations per year, relative to Martin Holder Martin Holder (= 1×) peers Zebang Yang

Countries citing papers authored by Martin Holder

Since Specialization

Citations

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

Fields of papers citing papers by Martin Holder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Holder

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Holder. A scholar is included among the top collaborators of Martin Holder 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 Martin Holder. Martin Holder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Holder, Martin, et al.. (2024). Introducing the double validation metric for radar sensor models. TUbilio (Technical University of Darmstadt). 9(1).

2.

Holder, Martin, et al.. (2023). A Dataset for Radar Scattering Characteristics of Vehicles Under Real-World Driving Conditions: Major Findings for Sensor Simulation. IEEE Sensors Journal. 23(5). 4873–4882. 6 indexed citations

3.

Holder, Martin, et al.. (2022). Digitalize the Twin: A Method for Calibration of Reference Data for Transfer Real-World Test Drives into Simulation. Energies. 15(3). 989–989. 4 indexed citations

4.

Holder, Martin, et al.. (2021). Highly Parameterizable and Generic Perception Sensor Model Architecture. TUbilio (Technical University of Darmstadt). 195–206. 3 indexed citations

5.

Holder, Martin, et al.. (2020). Sequential lidar sensor system simulation: a modular approach for simulation-based safety validation of automated driving. TUbilio (Technical University of Darmstadt). 5(3-4). 187–197. 12 indexed citations

6.

Holder, Martin, et al.. (2019). Towards a Generally Accepted Validation Methodology for Sensor Models - Challenges, Metrics, and First Results. TUbilio (Technical University of Darmstadt). 9 indexed citations

7.

Holder, Martin, et al.. (2019). Modeling and Simulation of Radar Sensor Artifacts for Virtual Testing of Autonomous Driving. 8 indexed citations

8.

Holder, Martin, et al.. (2019). Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models. TUbilio (Technical University of Darmstadt). 632–639. 17 indexed citations

9.

Holder, Martin, et al.. (2019). The Fourier Tracing Approach for Modeling Automotive Radar Sensors. 1–8. 8 indexed citations

10.

Holder, Martin, et al.. (2019). Real-Time Pose Graph SLAM based on Radar. TUbilio (Technical University of Darmstadt). 1145–1151. 64 indexed citations

11.

Holder, Martin, et al.. (2018). Analysis of Real World Sensor Behavior for Rising Fidelity of Physically Based Lidar Sensor Models. TUbilio (Technical University of Darmstadt). 611–616. 16 indexed citations

12.

Holder, Martin, Hermann Winner, Michael W. Maier, et al.. (2018). Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving. TUbilio (Technical University of Darmstadt). 40 indexed citations

13.

Holder, Martin, et al.. (2018). Data-driven Derivation of Requirements for a Lidar Sensor Model. TUbilio (Technical University of Darmstadt). 7 indexed citations

14.

Wheeler, Tim A., Martin Holder, Hermann Winner, & Mykel J. Kochenderfer. (2017). Deep stochastic radar models. TUbilio (Technical University of Darmstadt). 47–53. 46 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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