Jonathan Tremblay

48 papers receiving 906 citations

Jonathan Tremblay's Hit Papers

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models 2023 · 272 citations
2720+1+2Years since publication50100150200250

Peers

Jonathan Tremblay
Comparison fields: 5 of 138
  • Computer Vision and Pattern Recognition 217
  • Orthopedics and Sports Medicine 85
  • Artificial Intelligence 244
  • Complementary and alternative medicine 59
  • Control and Systems Engineering 155
Replace Satoshi Iizuka with:
Satoshi Iizuka Japan
A. Hunt Australia
Cristina Re Italy
Sokratis Makrogiannis United States
Stefan Pittner Austria
Joaquim P. Marques de Sá Portugal
N. Braun Germany
Miao Yu China
Baihua Li United Kingdom
Jonathan Tremblay relative to Satoshi Iizuka Japan Satoshi Iizuka's profile →
Citations per field
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Satoshi Iizuka · 1×
Citations per year

Countries citing papers authored by Jonathan Tremblay

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Tremblay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Hit paper breakdown →
2023272
2
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Hit paper breakdown →
202388
3 198166
4 201547
5 202336
6 201033
7
Atrial natriuretic factor: radioimmunoassay and effects on adrenal and pituitary glands.
198630
8 201729
9 202329
10 201824
11 201820
12 200319
13 199719
14 202019
15 202318
16 201717
17 202217
18 201916
19 201915
20 201815

About Jonathan Tremblay

Jonathan Tremblay is a scholar working on Computer Vision and Pattern Recognition, Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Cell Biology, having authored 55 papers that have together received 961 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (8 papers), Muscle metabolism and nutrition (6 papers), Physical Activity and Health (6 papers), Robotics and Sensor-Based Localization (5 papers), Sports Performance and Training (5 papers), Geological and Geochemical Analysis (4 papers), Robot Manipulation and Learning (4 papers) and Shoulder Injury and Treatment (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Orthopedics and Sports Medicine (85 citations), Artificial Intelligence (244 citations), Complementary and alternative medicine (59 citations) and Control and Systems Engineering (155 citations). Jonathan Tremblay has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Valts Blukis, Dieter Fox, Ankit Goyal, Jesse Thomason, Animesh Garg, Ishika Singh, Arsalan Mousavian, Danfei Xu, Stan Birchfield and David S. Miller. Their work appears in journals such as International Journal of Sports Physiology and Performance, Journal of Sports Sciences, BMC Public Health, Medicine & Science in Sports & Exercise and Journal of Applied Physiology.

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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