Jonathan M. Taylor

5.3k total citations · 2 hit papers
83 papers, 3.1k citations indexed

About

Jonathan M. Taylor is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Jonathan M. Taylor has authored 83 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 22 papers in Atomic and Molecular Physics, and Optics and 18 papers in Biomedical Engineering. Recurrent topics in Jonathan M. Taylor's work include Advanced Fluorescence Microscopy Techniques (17 papers), Advanced Vision and Imaging (15 papers) and Human Pose and Action Recognition (13 papers). Jonathan M. Taylor is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (17 papers), Advanced Vision and Imaging (15 papers) and Human Pose and Action Recognition (13 papers). Jonathan M. Taylor collaborates with scholars based in United Kingdom, United States and Germany. Jonathan M. Taylor's co-authors include Andrew Fitzgibbon, Shahram Izadi, Jamie Shotton, Cem Keskin, Gordon D. Love, Toby Sharp, Pushmeet Kohli, Sameh Khamis, David Kim and Christoph Rhemann and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jonathan M. Taylor

80 papers receiving 3.0k citations

Hit Papers

Fusion4D 2015 2026 2018 2022 2016 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan M. Taylor United Kingdom 28 1.6k 813 572 514 505 83 3.1k
Diego Gutiérrez Spain 36 3.0k 1.9× 437 0.5× 389 0.7× 96 0.2× 537 1.1× 213 4.6k
Ashok Veeraraghavan United States 45 3.4k 2.1× 307 0.4× 863 1.5× 167 0.3× 2.3k 4.5× 200 7.2k
Yoichi Sato Japan 43 4.5k 2.8× 2.1k 2.6× 422 0.7× 291 0.6× 619 1.2× 246 6.6k
Ren Ng United States 27 5.5k 3.4× 303 0.4× 588 1.0× 238 0.5× 615 1.2× 45 7.7k
Yebin Liu China 46 4.7k 2.9× 317 0.4× 123 0.2× 615 1.2× 567 1.1× 171 5.7k
Jingyi Yu China 37 4.4k 2.7× 299 0.4× 103 0.2× 185 0.4× 223 0.4× 219 5.3k
Masatoshi Ishikawa Japan 43 2.2k 1.4× 878 1.1× 355 0.6× 2.1k 4.0× 2.6k 5.1× 702 8.0k
Manuel M. Oliveira Brazil 29 2.8k 1.7× 180 0.2× 315 0.6× 68 0.1× 179 0.4× 114 4.1k
Vincent Sitzmann United States 12 965 0.6× 212 0.3× 107 0.2× 107 0.2× 217 0.4× 23 1.8k
Hakan Ürey Türkiye 31 552 0.3× 480 0.6× 1.3k 2.2× 120 0.2× 1.4k 2.8× 193 4.0k

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-authorship network of co-authors of Jonathan M. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Taylor. A scholar is included among the top collaborators of Jonathan M. Taylor 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 Jonathan M. Taylor. Jonathan M. Taylor 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
1.
Taylor, Jonathan M., et al.. (2024). In Depth Mapping of Mesoporous Silica Nanoparticles in Malignant Glioma Cells Using Scattering-Type Scanning Near-Field Optical Microscopy. SHILAP Revista de lepidopterología. 2(12). 842–849. 2 indexed citations
2.
Taylor, Jonathan M., et al.. (2024). Intravital Microscopy With an Airy Beam Light Sheet Microscope Improves Temporal Resolution and Reduces Surgical Trauma. Microscopy and Microanalysis. 30(5). 925–943. 1 indexed citations
3.
Gibson, Graham M., et al.. (2024). Photon-efficient optical tweezers via wavefront shaping. Science Advances. 10(27). 7 indexed citations
4.
Tucker, Carl S., John J. Mullins, Christopher D. Lucas, et al.. (2022). Macrophages trigger cardiomyocyte proliferation by increasing epicardial vegfaa expression during larval zebrafish heart regeneration. Developmental Cell. 57(12). 1512–1528.e5. 30 indexed citations
5.
Meka, Abhimitra, Rohit Pandey, Christian Häne, et al.. (2020). Deep Relightable Textures Volumetric Performance Capture with Neural Rendering. MPG.PuRe (Max Planck Society). 36 indexed citations
6.
Taylor, Jonathan M., et al.. (2020). Twin-Airy Point-Spread Function for Extended-Volume Particle Localization. Physical Review Letters. 124(19). 198104–198104. 22 indexed citations
7.
Buckley, Charlotte, Carl S. Tucker, John J. Mullins, et al.. (2020). Live Imaging of Heart Injury in Larval Zebrafish Reveals a Multi-Stage Model of Neutrophil and Macrophage Migration. Frontiers in Cell and Developmental Biology. 8. 579943–579943. 25 indexed citations
8.
Gibson, Graham M., et al.. (2019). Indirect optical trapping using light driven micro-rotors for reconfigurable hydrodynamic manipulation. Nature Communications. 10(1). 1215–1215. 122 indexed citations
9.
Taylor, Jonathan M., et al.. (2018). 3D + time blood flow mapping using SPIM-microPIV in the developing zebrafish heart. Biomedical Optics Express. 9(5). 2418–2418. 10 indexed citations
10.
Buckley, Charlotte, Mariana T. Carvalho, Laura K. Young, et al.. (2017). Precise spatio-temporal control of rapid optogenetic cell ablation with mem-KillerRed in Zebrafish. Scientific Reports. 7(1). 5096–5096. 24 indexed citations
11.
12.
Pieperhoff, Sebastian, K. Wilson, James Baily, et al.. (2014). Heart on a Plate: Histological and Functional Assessment of Isolated Adult Zebrafish Hearts Maintained in Culture. PLoS ONE. 9(5). e96771–e96771. 20 indexed citations
13.
Taylor, Jonathan M.. (2014). Optically gated beating-heart imaging. Frontiers in Physiology. 5. 481–481. 12 indexed citations
14.
Taylor, Jonathan M., John M. Girkin, & Gordon D. Love. (2012). High-resolution 3D optical microscopy inside the beating zebrafish heart using prospective optical gating. Biomedical Optics Express. 3(12). 3043–3043. 23 indexed citations
15.
Bourgenot, Cyril, Christopher D. Saunter, Jonathan M. Taylor, John M. Girkin, & Gordon D. Love. (2012). 3D adaptive optics in a light sheet microscope. Optics Express. 20(12). 13252–13252. 86 indexed citations
16.
Summers, Michael D., Richard de Dear, Jonathan M. Taylor, & Grant A. D. Ritchie. (2012). Directed assembly of optically bound matter. Optics Express. 20(2). 1001–1001. 14 indexed citations
17.
Taylor, Jonathan M., Jamie Shotton, Toby Sharp, & Andrew Fitzgibbon. (2012). The Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation. 103–110. 174 indexed citations
18.
Taylor, Jonathan M., Allan D. Jepson, & Kiriakos N. Kutulakos. (2010). Non-rigid structure from locally-rigid motion. 2761–2768. 84 indexed citations
19.
Taylor, Jonathan M. & Gordon D. Love. (2009). Optical binding mechanisms: a conceptual model for Gaussian beam traps. Optics Express. 17(17). 15381–15381. 19 indexed citations
20.
Taylor, Jonathan M.. (1997). The Emerging Geographies of Virtual Worlds. Geographical Review. 87(2). 172–192. 36 indexed citations

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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