P.J. Maudlin

1.2k total citations
50 papers, 823 citations indexed

About

P.J. Maudlin is a scholar working on Materials Chemistry, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, P.J. Maudlin has authored 50 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 15 papers in Mechanical Engineering and 11 papers in Civil and Structural Engineering. Recurrent topics in P.J. Maudlin's work include High-Velocity Impact and Material Behavior (30 papers), Microstructure and mechanical properties (15 papers) and Metal Forming Simulation Techniques (11 papers). P.J. Maudlin is often cited by papers focused on High-Velocity Impact and Material Behavior (30 papers), Microstructure and mechanical properties (15 papers) and Metal Forming Simulation Techniques (11 papers). P.J. Maudlin collaborates with scholars based in United States. P.J. Maudlin's co-authors include G. T. Gray, J. F. Bingert, Thomas A. Mason, G. C. Kaschner, Ricardo A. Lebensohn, C.N. Tomé, Gordon R. Johnson, P. A. Cox, S.R. Chen and S. E. Jones and has published in prestigious journals such as Journal of Applied Physics, Physical Review B and Acta Materialia.

In The Last Decade

P.J. Maudlin

49 papers receiving 780 citations

Peers

P.J. Maudlin
Comparison fields: 5 of 41
  • Materials Chemistry 659
  • Mechanics of Materials 362
  • Mechanical Engineering 313
  • Civil and Structural Engineering 150
  • Aerospace Engineering 105
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Jianan Lu China
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Citations per field, relative to P.J. Maudlin
P.J. Maudlin · 1×
Citations per year, relative to P.J. Maudlin
P.J. Maudlin · 1×

Countries citing papers authored by P.J. Maudlin

Since Specialization
Citations

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

Fields of papers citing papers by P.J. Maudlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.J. Maudlin

This figure shows the co-authorship network connecting the top 25 collaborators of P.J. Maudlin. A scholar is included among the top collaborators of P.J. Maudlin 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 P.J. Maudlin. P.J. Maudlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 3
3 95
4 6
5 14
6 59
7
HYDROCODE SENSITIVITIES BY MEANS OF AUTOMATIC DIFFERENTIATION
1
8 48
9 7
10 1
11 4
12
Accuracy of Differential Sensitivity for One-Dimensional Shock Problems
1
13 24
14 5
15
On the Taylor Test, Part II: An engineering analysis of plastic wave propagation
3
16
A continuum code investigation of stress integration using exact and approximate material rotation
1
17
Thermal-hydraulic differential sensitivity theory
4
18
Neutron and fuel cycle kinetics analogy
1
19 2
20
Transitory fuel growth rates for fast breeder reactors
1

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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