John T. Landry

102 total papers · 615 total citations
31 papers, 340 citations indexed

About

John T. Landry is a scholar working on Media Technology, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, John T. Landry has authored 31 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Media Technology, 2 papers in Biophysics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in John T. Landry's work include Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Advanced Optical Imaging Technologies (2 papers) and Flow Measurement and Analysis (1 paper). John T. Landry is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Advanced Optical Imaging Technologies (2 papers) and Flow Measurement and Analysis (1 paper). John T. Landry collaborates with scholars based in United States. John T. Landry's co-authors include G. Wade, A. Már, Nicholas G. Carr, S. Hackwood, Evelyn L. Hu, G. Beni and Yiping Xu and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and The Journal of the Acoustical Society of America.

In The Last Decade

John T. Landry

25 papers receiving 278 citations

Author Peers

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

Author						Papers	Cites
John T. Landry	97	66	48	37	35	31	340
Karina De Deá Róglio	98 1.0×	70 1.1×	51 1.1×	42 1.1×	58 1.7×	30	300
Nishant Uppal	140 1.4×	38 0.6×	41 0.9×	47 1.3×	28 0.8×	29	303
W. J. Heisler	151 1.6×	52 0.8×	30 0.6×	41 1.1×	44 1.3×	25	314
Jan Francis‐Smythe	108 1.1×	30 0.5×	75 1.6×	50 1.4×	15 0.4×	27	328
Sigmar Malvezzi	60 0.6×	37 0.6×	35 0.7×	87 2.4×	30 0.9×	31	325
Kenneth W. Kerber	80 0.8×	61 0.9×	31 0.6×	105 2.8×	27 0.8×	21	364
F. Lane	29 0.3×	44 0.7×	87 1.8×	38 1.0×	18 0.5×	26	347
Paul L. Schumann	67 0.7×	27 0.4×	52 1.1×	46 1.2×	66 1.9×	22	300
Jitendra Mohan Mishra	82 0.8×	44 0.7×	29 0.6×	163 4.4×	21 0.6×	31	348
Ciprian Ceobanu	71 0.7×	41 0.6×	111 2.3×	54 1.5×	68 1.9×	25	326

Countries citing papers authored by John T. Landry

Since Specialization

Citations

This map shows the geographic impact of John T. Landry'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 John T. Landry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Landry more than expected).

Fields of papers citing papers by John T. Landry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Landry. 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 John T. Landry. The network helps show where John T. Landry may publish in the future.

Co-authorship network of co-authors of John T. Landry

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Landry. A scholar is included among the top collaborators of John T. Landry 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 John T. Landry. John T. Landry 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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