Claudius Gläser

1.7k citations
31 papers · 1.1k · 1 hit paper · h-index 11

Impact in

Papers in

Claudius Gläser

26 papers receiving 1.1k citations

Claudius Gläser's Hit Papers

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges 2020 · 898 citations
8980+2+4Years since publication250500750

Peers

Claudius Gläser
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 632
  • Automotive Engineering 264
  • Instrumentation 41
  • Aerospace Engineering 255
  • Media Technology 89
Replace Di Feng with:
Di Feng Germany
Senthil Yogamani France
Heinz Hertlein United Kingdom
Fabian Timm Germany
Xinjing Cheng China
Xinyu Huang United States
Qichuan Geng China
Christian Schütz Switzerland
Jinshi Cui China
Vijay John Japan
Claudius Gläser relative to Di Feng Germany Di Feng's profile →
Citations per field
00.5×1.5×2.5×
Di Feng · 1×
Citations per year

Countries citing papers authored by Claudius Gläser

Since Specialization
Citations

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

Fields of papers citing papers by Claudius Gläser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Claudius Gläser, 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 Claudius Gläser Line = papers co-authored together Claudius Gläser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Hit paper breakdown →
2020898
2 202231
3 202224
4 202117
5 202217
6 200917
7 201311
8 201411
9 201811
10 202211
11 201310
12 20206
13 20086
14 20165
15 20115
16 20233
17 20223
18 20223
19 20082
20 20102

About Claudius Gläser

Claudius Gläser is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Signal Processing and Social Psychology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (10 papers), Speech and Audio Processing (6 papers), Advanced Neural Network Applications (5 papers), Neural Networks and Applications (5 papers), Video Surveillance and Tracking Methods (5 papers), Music and Audio Processing (4 papers), Human-Automation Interaction and Safety (3 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (632 citations), Automotive Engineering (264 citations), Instrumentation (41 citations), Aerospace Engineering (255 citations) and Media Technology (89 citations). Claudius Gläser has collaborated with scholars based in Germany, Japan and Portugal. Frequent co-authors include Klaus Dietmayer, Lars Rosenbaum, Di Feng, W. Wiesbeck, Fabian Timm, Christian Schütz, Heinz Hertlein, Frank Joublin, Christian Goerick and Holger Blume. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Audio Speech and Language Processing, eScholarship (California Digital Library), Journal of the Robotics Society of Japan and 2022 IEEE Intelligent Vehicles Symposium (IV).

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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