Andrew Drenner

717 citations
22 papers · 537 · h-index 12

Impact in

Papers in

Andrew Drenner

20 papers receiving 512 citations

Peers

Andrew Drenner
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 306
  • Human-Computer Interaction 38
  • Biomedical Engineering 251
  • Aerospace Engineering 118
  • Control and Systems Engineering 102
Replace Takashi Yoshimi with:
Takashi Yoshimi Japan
Andreas Breitenmoser Switzerland
Martin Rufli Switzerland
R. Zapata France
H. Noborio Japan
Carlos J. Pérez-del-Pulgar Spain
Federico Augugliaro Switzerland
Soo-Yeong Yi South Korea
I. Kamon Israel
David Hoeller Switzerland
Andrew Drenner relative to Takashi Yoshimi Japan Takashi Yoshimi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Andrew Drenner

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Drenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Andrew Drenner, 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 Andrew Drenner Line = papers co-authored together Andrew Drenner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008101
2 200778
3 200873
4 200865
5 200337
6 200332
7 200418
8 200618
9 200516
10 200916
11 200913
12 200813
13 200611
14 200411
15 200610
16 20098
17 20137
18
Evaluation of the Scout Robot for Urban Search and Rescue
20034
19 20103
20 20072

About Andrew Drenner

Andrew Drenner is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering and Biomedical Engineering, having authored 22 papers that have together received 537 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (15 papers), Robotics and Sensor-Based Localization (8 papers), Robotic Locomotion and Control (6 papers), Robotics and Automated Systems (5 papers), Robotic Path Planning Algorithms (5 papers), Video Surveillance and Tracking Methods (4 papers), Distributed Control Multi-Agent Systems (4 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (306 citations), Human-Computer Interaction (38 citations), Biomedical Engineering (251 citations), Aerospace Engineering (118 citations) and Control and Systems Engineering (102 citations). Andrew Drenner has collaborated with scholars based in United States. Frequent co-authors include Nikolaos Papanikolopoulos, Nikos Papanikolopoulos, Duc Fehr, Paul Schrater, Osama Masoud, Bradley E. Kratochvil, Bradley J. Nelson, Colin McMillen, Kristen Stubbs and Paul E. Rybski. Their work appears in journals such as Journal of Intelligent & Robotic Systems, Image and Vision Computing and University of Minnesota Digital Conservancy (University of Minnesota).

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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