J. A. Landry

19 total papers · 711 total citations
18 papers, 558 citations indexed

About

J. A. Landry is a scholar working on Analytical Chemistry, Ecology and Plant Science. According to data from OpenAlex, J. A. Landry has authored 18 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Analytical Chemistry, 7 papers in Ecology and 7 papers in Plant Science. Recurrent topics in J. A. Landry's work include Spectroscopy and Chemometric Analyses (10 papers), Smart Agriculture and AI (5 papers) and Remote Sensing in Agriculture (5 papers). J. A. Landry is often cited by papers focused on Spectroscopy and Chemometric Analyses (10 papers), Smart Agriculture and AI (5 papers) and Remote Sensing in Agriculture (5 papers). J. A. Landry collaborates with scholars based in Canada, France and United Kingdom. J. A. Landry's co-authors include Shiv O. Prasher, Alain A. Viau, R. M. Patel, Pravin K. Goel, R. B. Bonnell, John R. Miller, Chun‐Chieh Yang, Clément Chion, Luís Da Costa and Nadia Ménard and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Ecological Modelling.

In The Last Decade

J. A. Landry

18 papers receiving 494 citations

Author Peers

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

Author Last Decade Papers Cites
J. A. Landry 280 234 153 143 117 18 558
Chaichoke Vaiphasa 474 1.7× 140 0.6× 145 0.9× 155 1.1× 92 0.8× 12 622
Amol D. Vibhute 160 0.6× 178 0.8× 126 0.8× 116 0.8× 71 0.6× 45 633
Huifu Zhuang 211 0.8× 190 0.8× 92 0.6× 237 1.7× 204 1.7× 27 611
Maheshwaran Govender 264 0.9× 128 0.5× 97 0.6× 164 1.1× 91 0.8× 7 613
Hao Jiang 308 1.1× 264 1.1× 158 1.0× 54 0.4× 72 0.6× 18 598
Yindi Zhao 215 0.8× 201 0.9× 84 0.5× 216 1.5× 128 1.1× 35 617
Yaqin Sun 197 0.7× 253 1.1× 94 0.6× 72 0.5× 55 0.5× 34 632
Marc Rußwurm 307 1.1× 138 0.6× 49 0.3× 167 1.2× 111 0.9× 27 607
H. H. Bulcock 237 0.8× 73 0.3× 73 0.5× 164 1.1× 105 0.9× 11 603
Dong Liang 210 0.8× 237 1.0× 230 1.5× 65 0.5× 56 0.5× 25 623

Countries citing papers authored by J. A. Landry

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Landry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. A. Landry

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