Maximilian Naumann

18 total papers · 842 total citations
9 papers, 313 citations indexed

About

Maximilian Naumann is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Maximilian Naumann has authored 9 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Maximilian Naumann's work include Autonomous Vehicle Technology and Safety (8 papers), Robotic Path Planning Algorithms (5 papers) and Formal Methods in Verification (3 papers). Maximilian Naumann is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Robotic Path Planning Algorithms (5 papers) and Formal Methods in Verification (3 papers). Maximilian Naumann collaborates with scholars based in Germany and United States. Maximilian Naumann's co-authors include Fabian Poggenhans, Matthias Mayr, Florian Kuhnt, Stefan Orf, Christoph Stiller, Martin Lauer, Hendrik Königshof, Masayoshi Tomizuka, Wei Zhan and Liting Sun and has published in prestigious journals such as Repository KITopen (Karlsruhe Institute of Technology) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Maximilian Naumann

9 papers receiving 300 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maximilian Naumann 223 124 95 55 48 9 313
Florian Homm 226 1.0× 111 0.9× 85 0.9× 35 0.6× 70 1.5× 4 321
Yuanfu Luo 158 0.7× 136 1.1× 74 0.8× 49 0.9× 22 0.5× 10 261
Ewoud A. I. Pool 165 0.7× 161 1.3× 42 0.4× 74 1.3× 98 2.0× 7 341
Daniel Althoff 167 0.7× 195 1.6× 126 1.3× 36 0.7× 65 1.4× 14 313
Antonio Prioletti 160 0.7× 203 1.6× 45 0.5× 35 0.6× 54 1.1× 10 325
Shaojun Cai 125 0.6× 190 1.5× 70 0.7× 38 0.7× 94 2.0× 6 310
Holger Mielenz 155 0.7× 95 0.8× 31 0.3× 92 1.7× 32 0.7× 12 235
Samer Ammoun 224 1.0× 74 0.6× 114 1.2× 81 1.5× 17 0.4× 8 323
Johann Edelbrunner 154 0.7× 216 1.7× 37 0.4× 41 0.7× 22 0.5× 9 335
Qiang Lu 186 0.8× 102 0.8× 86 0.9× 19 0.3× 21 0.4× 10 324

Countries citing papers authored by Maximilian Naumann

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Naumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Naumann

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

All Works

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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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