Andrew Drenner

717 citations
22 papers · 537 indexed · h-index 12
Topics
Modular Robots and Swarm Intelligence (15 papers)Robotics and Sensor-Based Localization (8 papers)Robotic Locomotion and Control (6 papers)
Journals
Image and Vision ComputingJournal of Intelligent & Robotic SystemsUniversity of Minnesota Digital Conservancy (University of Minnesota)
Partner nations
United States

In The Last Decade

Andrew Drenner

20 papers receiving 512 citations

Peers

Andrew Drenner
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 306
  • Biomedical Engineering 251
  • Mechanical Engineering 153
  • 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
00.5×1.5×
Takashi Yoshimi · 1×
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-authorship network of co-authors of Andrew Drenner

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 16
3 0
4 8
5 13
6 65
7 13
8 73
9 101
10 2
11 78
12 1
13 11
14 10
15 18
16 16
17 18
18 11
19 37
20 32

About Andrew Drenner

Andrew Drenner is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Aerospace 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) and Robotic Locomotion and Control (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (306 citations), Human-Computer Interaction (38 citations) and Biomedical Engineering (251 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, Kristen Stubbs, Colin McMillen and Paul E. Rybski. Their work appears in journals such as Image and Vision Computing, Journal of Intelligent & Robotic Systems 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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