Austin Reiter

6.1k citations
46 papers · 2.8k indexed · 2 hit papers · h-index 20

Impact in

Papers in

Austin Reiter

46 papers receiving 2.7k citations

Hit Papers

Interpretable 3D Human Action Analysis with Temporal Convolutional Networks 2017 · 480 citations
48020172026202020232505007501000

Peers

Austin Reiter
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 1.4k
  • Human-Computer Interaction 205
  • Artificial Intelligence 770
  • Biomedical Engineering 998
  • Signal Processing 205
Replace Yang Zhao with:
Yang Zhao China
Wentao Zhu China
Chee‐Kong Chui Singapore
Pau‐Choo Chung Taiwan
Marcin Grzegorzek Germany
Nong Sang China
Vitoantonio Bevilacqua Italy
Wei Shen China
Pedro P. Rebouças Filho Brazil
Peter H. N. de With Netherlands
Austin Reiter relative to Yang Zhao China Yang Zhao's profile →
Citations per field
00.5×1.5×2.2×
Yang Zhao · 1×
Citations per year

Countries citing papers authored by Austin Reiter

Since Specialization
Citations

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

Fields of papers citing papers by Austin Reiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20214
2 201968
3 2019102
4 201916
5 20198
6 201851
7 201857
8 201730
9
Transferring Face Verification Nets To Pain and Expression Regression.
20174
10 20177
11 201730
12
Efficient Segmental Inference for Spatiotemporal Modeling of Fine-grained Actions.
20161
13 20168
14 201615
15 20168
16 201512
17 201325
18 201251
19 201114
20 20113

About Austin Reiter

Austin Reiter is a scholar working on Computer Vision and Pattern Recognition, Otorhinolaryngology, Aerospace Engineering, Biomedical Engineering and Critical Care and Intensive Care Medicine, having authored 46 papers that have together received 2.8k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Soft Robotics and Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Ultrasound Imaging and Elastography (5 papers), Human Pose and Action Recognition (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Advanced Vision and Imaging (4 papers) and Thermography and Photoacoustic Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (205 citations), Artificial Intelligence (770 citations), Biomedical Engineering (998 citations) and Signal Processing (205 citations). Austin Reiter has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Gregory D. Hager, Tae Soo Kim, Colin Lea, Renè Vidal, M. D. Flynn, Muyinatu A. Lediju Bell, Derek Allman, Trac D. Tran, Peter K. Allen and Arun Asokan Nair. Their work appears in journals such as IEEE Transactions on Medical Imaging, Critical Care Medicine, JAMA Network Open, IEEE Robotics and Automation Letters and The International Journal of Robotics Research.

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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