Daniel Althoff

481 citations
16 papers · 372 · h-index 10

Impact in

Papers in

Daniel Althoff

16 papers receiving 359 citations

Peers

Daniel Althoff
Comparison fields: 5 of 36
  • Automotive Engineering 191
  • Computer Vision and Pattern Recognition 225
  • Control and Systems Engineering 145
  • Safety, Risk, Reliability and Quality 38
  • Aerospace Engineering 75
Replace Shaojun Cai with:
Shaojun Cai China
Ömer Şahin Taş Germany
Christopher Tay France
Florian Homm Germany
Alireza Nakhaei United States
Sterling J. Anderson United States
Quoc Huy Japan
Stéphane Petti France
Changxi You United States
Sahil Narang United States
Daniel Althoff relative to Shaojun Cai China Shaojun Cai's profile →
Citations per field
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Shaojun Cai · 1×
Citations per year

Countries citing papers authored by Daniel Althoff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Althoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel Althoff, 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 Daniel Althoff Line = papers co-authored together Daniel Althoff links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201168
2 201963
3 201646
4 201040
5 201533
6 201125
7 200919
8 201217
9 201215
10 201514
11
Safety Assessment for Motion Planning in Uncertain and Dynamic Environments
20148
12 20146
13 20116
14 20195
15 20114
16 20153

About Daniel Althoff

Daniel Althoff is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Control and Systems Engineering, Computational Theory and Mathematics and Aerospace Engineering, having authored 16 papers that have together received 372 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (15 papers), Autonomous Vehicle Technology and Safety (9 papers), Formal Methods in Verification (4 papers), Modular Robots and Swarm Intelligence (3 papers), Robotics and Sensor-Based Localization (2 papers), Robot Manipulation and Learning (2 papers), Guidance and Control Systems (2 papers) and Vehicle Dynamics and Control Systems (2 papers). The work is most often cited by research in Automotive Engineering (191 citations), Computer Vision and Pattern Recognition (225 citations), Control and Systems Engineering (145 citations), Safety, Risk, Reliability and Quality (38 citations) and Aerospace Engineering (75 citations). Daniel Althoff has collaborated with scholars based in Germany and United States. Frequent co-authors include Dirk Wollherr, Martin Buss, Matthias Althoff, Sebastian Scherer, James Kuffner, Christoph Stiller, Nils Quetschlich, Constantin Hubmann, Jens Schulz and Sanjiban Choudhury. Their work appears in journals such as Autonomous Robots, International Journal of Social Robotics, Journal of Field Robotics, Cognitive systems monographs and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).

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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