John P. Martin

31 total papers · 450 total citations
18 papers, 320 citations indexed

About

John P. Martin is a scholar working on Civil and Structural Engineering, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, John P. Martin has authored 18 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Civil and Structural Engineering, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in John P. Martin's work include Geotechnical Engineering and Soil Stabilization (3 papers), Geotechnical Engineering and Underground Structures (3 papers) and Geotechnical Engineering and Soil Mechanics (2 papers). John P. Martin is often cited by papers focused on Geotechnical Engineering and Soil Stabilization (3 papers), Geotechnical Engineering and Underground Structures (3 papers) and Geotechnical Engineering and Soil Mechanics (2 papers). John P. Martin collaborates with scholars based in United Kingdom, United States and France. John P. Martin's co-authors include Leann Olansky, Patrick J. Boyle, Raf Magar, Helen Lau, Albert Marchetti, Allen B. King, Ashley B. Price, Neera K. Patel, Ula Mahadeva and Timothy J. Considine and has published in prestigious journals such as Environmental Science & Technology, Gut and American Journal of Physical Anthropology.

In The Last Decade

John P. Martin

18 papers receiving 303 citations

Author Peers

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

Author Last Decade Papers Cites
John P. Martin 124 85 69 69 63 18 320
Takeo Nakajima 87 0.7× 79 0.9× 64 0.9× 66 1.0× 36 0.6× 24 323
Huijuan Zhang 72 0.6× 25 0.3× 17 0.2× 24 0.3× 18 0.3× 28 268
Seungbum Choi 85 0.7× 32 0.4× 57 0.8× 14 0.2× 28 0.4× 18 271
Wei Shan 57 0.5× 65 0.8× 114 1.7× 28 0.4× 50 0.8× 17 298
Chao‐Yi Chen 81 0.7× 41 0.5× 27 0.4× 6 0.1× 12 0.2× 23 328
Ali Al Zahrani 48 0.4× 70 0.8× 55 0.8× 22 0.3× 26 0.4× 15 325
Jesús Barreiro 112 0.9× 133 1.6× 71 1.0× 92 1.3× 41 0.7× 21 323
Haiyan Song 82 0.7× 50 0.6× 35 0.5× 17 0.2× 56 0.9× 19 289
David J. Transue 54 0.4× 76 0.9× 22 0.3× 69 1.0× 12 0.2× 18 284
Weiliang Jiang 70 0.6× 31 0.4× 137 2.0× 15 0.2× 31 0.5× 30 363

Countries citing papers authored by John P. Martin

Since Specialization
Citations

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

Fields of papers citing papers by John P. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Martin

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