Peter Allen

55 papers receiving 1.6k citations

Peers

Peter Allen
Comparison fields: 5 of 121
  • Control and Systems Engineering 886
  • Human-Computer Interaction 175
  • Computer Vision and Pattern Recognition 517
  • Computer Graphics and Computer-Aided Design 78
  • Geology 118
Replace Jun Takamatsu with:
Jun Takamatsu Japan
Ryo Kurazume Japan
Evgeni Magid Russia
Sotiris Malassiotis Greece
Hans Ingo Weber Brazil
Sehoon Ha United States
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G. Hirzinger Germany
KangKang Yin Canada
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Countries citing papers authored by Peter Allen

Since Specialization
Citations

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

Fields of papers citing papers by Peter Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017178
2 2004163
3 2007153
4 2010108
5 201581
6 200769
7 198567
8 200265
9 200362
10 199259
11 200551
12 201049
13 200543
14 201942
15 200434
16 201933
17 200928
18 200228
19 201127
20 201325

About Peter Allen

Peter Allen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience and Aerospace Engineering, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (20 papers), Soft Robotics and Applications (13 papers), Robotics and Sensor-Based Localization (9 papers), Robotic Mechanisms and Dynamics (7 papers), Robotic Path Planning Algorithms (5 papers), Advanced Vision and Imaging (5 papers), Muscle activation and electromyography studies (4 papers) and Tactile and Sensory Interactions (4 papers). The work is most often cited by research in Control and Systems Engineering (886 citations), Human-Computer Interaction (175 citations), Computer Vision and Pattern Recognition (517 citations), Computer Graphics and Computer-Aided Design (78 citations) and Geology (118 citations). Peter Allen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Matei Ciocarlie, Andrew Miller, Jacob Varley, Corey Goldfeder, Tony Jebara, Adam Richardson, Chad DeChant, Paul Michelman, Dennis Fowler and Ajit Singh. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Frontiers in Psychology, Machine Vision and Applications and Industrial Robot the international journal of robotics research and application.

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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