Christopher J. Landry

50 total papers · 1.1k total citations
31 papers, 889 citations indexed

About

Christopher J. Landry is a scholar working on Ocean Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Christopher J. Landry has authored 31 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ocean Engineering, 14 papers in Mechanical Engineering and 13 papers in Computational Mechanics. Recurrent topics in Christopher J. Landry's work include Hydraulic Fracturing and Reservoir Analysis (14 papers), Lattice Boltzmann Simulation Studies (13 papers) and Hydrocarbon exploration and reservoir analysis (12 papers). Christopher J. Landry is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (14 papers), Lattice Boltzmann Simulation Studies (13 papers) and Hydrocarbon exploration and reservoir analysis (12 papers). Christopher J. Landry collaborates with scholars based in United States, China and Venezuela. Christopher J. Landry's co-authors include Maša Prodanović, Carla M. Koretsky, Peter Eichhubl, Zuleima T. Karpyn, Javier E. Santos, Orlando Ayala, Soumya Das, Melinda S. Schaller, Michael J. Pyrcz and Honggeun Jo and has published in prestigious journals such as Geochimica et Cosmochimica Acta, Water Resources Research and Journal of Colloid and Interface Science.

In The Last Decade

Christopher J. Landry

31 papers receiving 871 citations

Hit Papers

PoreFlow-Net: A 3D convol... 2020 2026 2022 2024 2020 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Christopher J. Landry 386 288 283 215 135 31 889
Tannaz Pak 328 0.8× 187 0.6× 187 0.7× 93 0.4× 194 1.4× 28 899
Kun Wang 402 1.0× 305 1.1× 371 1.3× 149 0.7× 83 0.6× 60 976
Maciej Matyka 241 0.6× 219 0.8× 139 0.5× 364 1.7× 222 1.6× 28 1.0k
Cong Lu 438 1.1× 505 1.8× 350 1.2× 34 0.2× 127 0.9× 87 997
R. J. Schotting 137 0.4× 144 0.5× 80 0.3× 139 0.6× 436 3.2× 46 825
Chenhao Sun 540 1.4× 357 1.2× 409 1.4× 120 0.6× 325 2.4× 36 931
Zhaowen Li 343 0.9× 302 1.0× 313 1.1× 92 0.4× 391 2.9× 30 1.0k
Boxiao Li 450 1.2× 270 0.9× 188 0.7× 62 0.3× 489 3.6× 33 826
Yu Li 499 1.3× 284 1.0× 330 1.2× 257 1.2× 205 1.5× 39 918
Hossein Davarzani 305 0.8× 133 0.5× 88 0.3× 99 0.5× 303 2.2× 53 767

Countries citing papers authored by Christopher J. Landry

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Landry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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