Juan Ma

45 total papers · 539 total citations
36 papers, 432 citations indexed

About

Juan Ma is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Juan Ma has authored 36 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanics of Materials, 14 papers in Civil and Structural Engineering and 13 papers in Statistics, Probability and Uncertainty. Recurrent topics in Juan Ma's work include Probabilistic and Robust Engineering Design (13 papers), Structural Health Monitoring Techniques (9 papers) and Composite Material Mechanics (8 papers). Juan Ma is often cited by papers focused on Probabilistic and Robust Engineering Design (13 papers), Structural Health Monitoring Techniques (9 papers) and Composite Material Mechanics (8 papers). Juan Ma collaborates with scholars based in China, Germany and Australia. Juan Ma's co-authors include Peter Wriggers, Wei Gao, Shahab Sahraee, Laura De Lorenzis, Jean W. Zu, Hao Jiang, İ. Temizer, Han Huang, Yang Shi and Jianjun Chen and has published in prestigious journals such as Journal of Materials Science, International Journal of Solids and Structures and Mechanical Systems and Signal Processing.

In The Last Decade

Juan Ma

34 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Juan Ma 268 185 180 113 61 36 432
James E. Warner 110 0.4× 133 0.7× 149 0.8× 107 0.9× 47 0.8× 33 382
Rengui Bi 143 0.5× 266 1.4× 226 1.3× 82 0.7× 91 1.5× 22 486
Theodore F. Johnson 202 0.8× 167 0.9× 185 1.0× 126 1.1× 102 1.7× 31 493
Amélie Fau 123 0.5× 199 1.1× 131 0.7× 73 0.6× 97 1.6× 33 436
A. Calvi 207 0.8× 237 1.3× 348 1.9× 84 0.7× 40 0.7× 23 491
M. P. Enright 211 0.8× 208 1.1× 87 0.5× 187 1.7× 21 0.3× 28 385
Luca Lanzi 286 1.1× 66 0.4× 325 1.8× 180 1.6× 52 0.9× 29 483
Hichem Smaoui 138 0.5× 69 0.4× 327 1.8× 102 0.9× 43 0.7× 42 471
Ching‐Hung Chuang 204 0.8× 88 0.5× 338 1.9× 119 1.1× 175 2.9× 28 457
Yuxue Pu 105 0.4× 188 1.0× 259 1.4× 73 0.6× 56 0.9× 27 434

Countries citing papers authored by Juan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Ma

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