Franz Kümmert

2.2k citations
147 papers · 1.7k · h-index 21

Impact in

Papers in

Franz Kümmert

138 papers receiving 1.5k citations

Peers

Franz Kümmert
Comparison fields: 5 of 96
  • Automotive Engineering 496
  • Computer Vision and Pattern Recognition 634
  • Biophysics 145
  • Artificial Intelligence 592
  • Safety, Risk, Reliability and Quality 136
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Dan Xie China
Heiko Wersing Germany
Patsorn Sangkloy United States
Sorin Grigorescu Romania
Pei Lv China
Xinyu Zhang China
Benjamin Sapp United States
Liyuan Li Singapore
Claus Bahlmann United States
Alberto F. De Souza Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Franz Kümmert

Since Specialization
Citations

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

Fields of papers citing papers by Franz Kümmert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Franz Kümmert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Franz Kümmert Line = papers co-authored together Franz Kümmert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009133
2 1990126
3 200373
4 201056
5 201253
6 201451
7 199346
8 201446
9 201444
10 201043
11 200342
12 201141
13 200940
14 202038
15 201137
16 200835
17 201429
18 201621
19 201820
20 199620

About Franz Kümmert

Franz Kümmert is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Social Psychology, Automotive Engineering and Signal Processing, having authored 147 papers that have together received 1.7k indexed citations. Recurring topics across this work include Speech and dialogue systems (31 papers), Natural Language Processing Techniques (20 papers), Social Robot Interaction and HRI (20 papers), Autonomous Vehicle Technology and Safety (17 papers), Speech Recognition and Synthesis (16 papers), Video Surveillance and Tracking Methods (16 papers), Advanced Vision and Imaging (14 papers) and AI in Service Interactions (12 papers). The work is most often cited by research in Automotive Engineering (496 citations), Computer Vision and Pattern Recognition (634 citations), Biophysics (145 citations), Artificial Intelligence (592 citations) and Safety, Risk, Reliability and Quality (136 citations). Franz Kümmert has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Gerhard Sagerer, Christian Wöhler, Christoph Hermes, Sebastian Schneider, Jannik Fritsch, Tobias Kühnl, H. Niemann, Gernot A. Fink, Stefan Schröder and Sarah Bonnin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems, 3D Research, Lecture notes in computer science and Bioinformatics.

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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