Jonathan M. Taylor

81 papers receiving 3.1k citations

Jonathan M. Taylor's Hit Papers

Fusion4D 2016 · 321 citations
3210+3+7Years since publication100200300

Peers

Jonathan M. Taylor
Comparison fields: 5 of 141
  • Acoustics and Ultrasonics 167
  • Human-Computer Interaction 819
  • Computer Vision and Pattern Recognition 1.6k
  • Computer Graphics and Computer-Aided Design 255
  • Biophysics 217
Replace Ashok Veeraraghavan with:
Ashok Veeraraghavan United States
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Xun Cao China
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Felix Heide United States
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Yebin Liu China
Matthias B. Hullin Germany
Jonathan M. Taylor relative to Ashok Veeraraghavan United States Ashok Veeraraghavan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan M. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fusion4D
Hit paper breakdown →
2016321
2
Accurate, Robust, and Flexible Real-time Hand Tracking
Hit paper breakdown →
2015289
3 2017203
4 2016193
5 2010187
6 2012174
7 2019123
8 201596
9 201286
10 201586
11 201084
12 201569
13 201866
14 201465
15 201761
16 201659
17 201454
18 200948
19 201541
20 201537

About Jonathan M. Taylor

Jonathan M. Taylor is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Biophysics and Molecular Biology, having authored 83 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (17 papers), Advanced Vision and Imaging (15 papers), Human Pose and Action Recognition (13 papers), Orbital Angular Momentum in Optics (11 papers), Hand Gesture Recognition Systems (9 papers), Congenital heart defects research (8 papers), Digital Holography and Microscopy (8 papers) and Advanced X-ray Imaging Techniques (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (167 citations), Human-Computer Interaction (819 citations), Computer Vision and Pattern Recognition (1.6k citations), Computer Graphics and Computer-Aided Design (255 citations) and Biophysics (217 citations). Jonathan M. Taylor has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Shahram Izadi, Andrew Fitzgibbon, Jamie Shotton, Cem Keskin, Gordon D. Love, Pushmeet Kohli, Toby Sharp, Sameh Khamis, David Kim and Christoph Rhemann. Their work appears in journals such as ACM Transactions on Graphics, Optics Express, Biomedical Optics Express, Science Advances and Cold Spring Harbor Symposia on Quantitative Biology.

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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