Markus Kuderer

1.0k total citations
11 papers, 637 citations indexed

About

Markus Kuderer is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Markus Kuderer has authored 11 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Markus Kuderer's work include Autonomous Vehicle Technology and Safety (2 papers), Sensor Technology and Measurement Systems (2 papers) and Analog and Mixed-Signal Circuit Design (2 papers). Markus Kuderer is often cited by papers focused on Autonomous Vehicle Technology and Safety (2 papers), Sensor Technology and Measurement Systems (2 papers) and Analog and Mixed-Signal Circuit Design (2 papers). Markus Kuderer collaborates with scholars based in Germany, United States and Switzerland. Markus Kuderer's co-authors include Wolfram Burgard, Shilpa Gulati, Henrik Kretzschmar, Christoph Sprunk, Felix Endres, Gian Diego Tipaldi, Cyrill Stachniss, Johannes Meyer, Jörg Müller and Yiannos Manoli and has published in prestigious journals such as Advances in radio science and Repository KITopen (Karlsruhe Institute of Technology).

In The Last Decade

Markus Kuderer

11 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Kuderer Germany	8	286	244	241	172	107	11	637
Katherine Driggs-Campbell United States	15	441 1.5×	237 1.0×	267 1.1×	259 1.5×	58 0.5×	53	829
Florian Kuhnt Germany	11	373 1.3×	171 0.7×	161 0.7×	78 0.5×	40 0.4×	17	519
Andrew Best United States	13	136 0.5×	195 0.8×	154 0.6×	76 0.4×	175 1.6×	34	489
Georges S. Aoude United States	11	447 1.6×	303 1.2×	197 0.8×	148 0.9×	36 0.3×	12	719
Garratt Gallagher United States	4	109 0.4×	300 1.2×	200 0.8×	174 1.0×	76 0.7×	6	537
Rubén Izquierdo Spain	16	308 1.1×	198 0.8×	82 0.3×	254 1.5×	48 0.4×	59	689
Mark G. Pfeiffer United States	8	450 1.6×	310 1.3×	346 1.4×	177 1.0×	46 0.4×	24	801
Sebastian Brechtel Germany	8	527 1.8×	203 0.8×	244 1.0×	171 1.0×	26 0.2×	9	681
Yu Fan Chen United States	9	220 0.8×	439 1.8×	138 0.6×	288 1.7×	169 1.6×	13	700
Marc Revilloud France	5	386 1.3×	298 1.2×	191 0.8×	70 0.4×	29 0.3×	11	558

Countries citing papers authored by Markus Kuderer

Since Specialization

Citations

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

Fields of papers citing papers by Markus Kuderer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Kuderer

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

All Works

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11 of 11 papers shown

1.

Kuderer, Markus, Shilpa Gulati, & Wolfram Burgard. (2015). Learning driving styles for autonomous vehicles from demonstration. 2641–2646. 301 indexed citations

2.

Endres, Felix, et al.. (2014). W-RGB-D: Floor-plan-based indoor global localization using a depth camera and WiFi. 417–422. 45 indexed citations

3.

Meyer, Johannes, Markus Kuderer, Jörg Müller, & Wolfram Burgard. (2014). Online marker labeling for fully automatic skeleton tracking in optical motion capture. 5652–5657. 26 indexed citations

4.

Kuderer, Markus, Christoph Sprunk, Henrik Kretzschmar, & Wolfram Burgard. (2014). Online generation of homotopically distinct navigation paths. 6462–6467. 28 indexed citations

5.

Kretzschmar, Henrik, Markus Kuderer, & Wolfram Burgard. (2014). Learning to predict trajectories of cooperatively navigating agents. 4015–4020. 48 indexed citations

6.

Kuderer, Markus, Henrik Kretzschmar, & Wolfram Burgard. (2013). Teaching mobile robots to cooperatively navigate in populated environments. 3138–3143. 35 indexed citations

7.

Kuderer, Markus, Henrik Kretzschmar, Christoph Sprunk, & Wolfram Burgard. (2012). Feature-Based Prediction of Trajectories for Socially Compliant Navigation. 141 indexed citations

8.

Lyons, Daniel, Achim Hekler, Markus Kuderer, & Uwe D. Hanebeck. (2010). Robust model predictive control with least favorable measurements. Repository KITopen (Karlsruhe Institute of Technology). 1. 193–198. 2 indexed citations

9.

Gerfers, Friedel, et al.. (2007). An Ultra Low-Noise Vibration Monitoring System. 19. 880–883. 2 indexed citations

10.

Keller, Matthias, Alexander Buhmann, Markus Kuderer, & Yiannos Manoli. (2006). On the synthesis and optimization of cascaded continuous-time Sigma-Delta modulators. Advances in radio science. 4. 293–297. 2 indexed citations

11.

Ortmanns, Maurits, Markus Kuderer, Yiannos Manoli, & Friedel Gerfers. (2004). A cascaded continuous-time ΣΔ modulator with 80 dB dynamic range. I–405. 7 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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