Kim Pham

51 total papers · 1.8k total citations
16 papers, 1.2k citations indexed

About

Kim Pham is a scholar working on Mechanics of Materials, Materials Chemistry and Sociology and Political Science. According to data from OpenAlex, Kim Pham has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanics of Materials, 4 papers in Materials Chemistry and 3 papers in Sociology and Political Science. Recurrent topics in Kim Pham's work include Numerical methods in engineering (7 papers), Rock Mechanics and Modeling (6 papers) and Nonlocal and gradient elasticity in micro/nano structures (4 papers). Kim Pham is often cited by papers focused on Numerical methods in engineering (7 papers), Rock Mechanics and Modeling (6 papers) and Nonlocal and gradient elasticity in micro/nano structures (4 papers). Kim Pham collaborates with scholars based in France, United States and Australia. Kim Pham's co-authors include Jean‐Jacques Marigo, Corrado Maurini, Christine A. Vogt, Kathleen L. Andereck, Dennis M. Miller, Lynlee L. Lin, Julia Parrish-Novak, Adam N. Mamelak, Tarl W. Prow and Miko Yamada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Mechanics and Physics of Solids and Annals of Tourism Research.

In The Last Decade

Kim Pham

14 papers receiving 1.2k citations

Hit Papers

Gradient Damage Models an... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Kim Pham 990 341 275 167 120 16 1.2k
Magdalena Stolarska 592 0.6× 71 0.2× 191 0.7× 161 1.0× 109 0.9× 13 1.1k
M. H. Babaei 585 0.6× 129 0.4× 61 0.2× 97 0.6× 130 1.1× 39 998
Qian Yu 328 0.3× 723 2.1× 165 0.6× 401 2.4× 110 0.9× 25 1.1k
Ariel Livne 343 0.3× 156 0.5× 94 0.3× 117 0.7× 331 2.8× 23 1.1k
Richard N. McLaughlin 554 0.6× 168 0.5× 19 0.1× 104 0.6× 80 0.7× 15 1.5k
Charles Yang 369 0.4× 220 0.6× 32 0.1× 426 2.6× 179 1.5× 26 1.0k
William S. Slaughter 493 0.5× 319 0.9× 43 0.2× 339 2.0× 217 1.8× 40 1.0k
Stephen C. Hwang 812 0.8× 685 2.0× 64 0.2× 144 0.9× 354 3.0× 19 1.2k
Zhenze Yang 242 0.2× 477 1.4× 49 0.2× 410 2.5× 244 2.0× 26 1.3k
Zhi‐Hua Zhong 943 1.0× 127 0.4× 436 1.6× 292 1.7× 120 1.0× 27 1.4k

Countries citing papers authored by Kim Pham

Since Specialization
Citations

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

Fields of papers citing papers by Kim Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Pham. 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 Kim Pham. The network helps show where Kim Pham may publish in the future.

Co-authorship network of co-authors of Kim Pham

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