Lawrence S. Taylor

24 total papers · 679 total citations
16 papers, 512 citations indexed

About

Lawrence S. Taylor is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lawrence S. Taylor has authored 16 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lawrence S. Taylor's work include Ultrasound Imaging and Elastography (12 papers), Photoacoustic and Ultrasonic Imaging (7 papers) and Ultrasonics and Acoustic Wave Propagation (3 papers). Lawrence S. Taylor is often cited by papers focused on Ultrasound Imaging and Elastography (12 papers), Photoacoustic and Ultrasonic Imaging (7 papers) and Ultrasonics and Acoustic Wave Propagation (3 papers). Lawrence S. Taylor collaborates with scholars based in United States. Lawrence S. Taylor's co-authors include Kevin J. Parker, Deborah J. Rubens, Brian Porter, Zhe Wu, Sheryl M. Gracewski, Raymond B. Baggs, Gyongyi Nadasdy, Paul A. di Sant'Agnese, Amy L. Lerner and Michael S. Richards and has published in prestigious journals such as Radiology, The Journal of the Acoustical Society of America and Physics in Medicine and Biology.

In The Last Decade

Lawrence S. Taylor

16 papers receiving 482 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lawrence S. Taylor 413 378 201 38 36 16 512
M. Ostromogilsky 436 1.1× 431 1.1× 167 0.8× 29 0.8× 32 0.9× 7 618
Amy M. Sommer 470 1.1× 417 1.1× 177 0.9× 26 0.7× 28 0.8× 14 540
M Lorenzen 412 1.0× 359 0.9× 119 0.6× 44 1.2× 74 2.1× 14 554
Ramon Erkamp 415 1.0× 381 1.0× 111 0.6× 30 0.8× 76 2.1× 27 573
Hai-yun Yang 357 0.9× 272 0.7× 96 0.5× 13 0.3× 77 2.1× 12 501
Adam J. Pattison 401 1.0× 333 0.9× 57 0.3× 21 0.6× 18 0.5× 19 568
U‐Wai Lok 377 0.9× 371 1.0× 86 0.4× 30 0.8× 19 0.5× 36 491
James P. Blue 299 0.7× 379 1.0× 120 0.6× 16 0.4× 32 0.9× 19 556
Zaegyoo Hah 377 0.9× 306 0.8× 132 0.7× 20 0.5× 22 0.6× 22 485
Éric Bavu 252 0.6× 248 0.7× 67 0.3× 25 0.7× 50 1.4× 13 515

Countries citing papers authored by Lawrence S. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence S. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence S. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence S. Taylor. A scholar is included among the top collaborators of Lawrence S. 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 Lawrence S. Taylor. Lawrence S. Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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