R.H. Dodds

3.2k total citations
51 papers, 1.7k citations indexed

About

R.H. Dodds is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, R.H. Dodds has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanics of Materials, 31 papers in Mechanical Engineering and 21 papers in Materials Chemistry. Recurrent topics in R.H. Dodds's work include Fatigue and fracture mechanics (39 papers), Metal Forming Simulation Techniques (11 papers) and High-Velocity Impact and Material Behavior (10 papers). R.H. Dodds is often cited by papers focused on Fatigue and fracture mechanics (39 papers), Metal Forming Simulation Techniques (11 papers) and High-Velocity Impact and Material Behavior (10 papers). R.H. Dodds collaborates with scholars based in United States, Germany and South Korea. R.H. Dodds's co-authors include Cláudio Ruggieri, Xiaofeng Gao, TL Anderson, Petros Sofronis, MT Kirk, TL Panontin, EM Hackett, K-H Schwalbe, D. C. Ahn and Z.‐H. Jin and has published in prestigious journals such as Materials Science and Engineering A, Journal of Applied Mechanics and International Journal of Solids and Structures.

In The Last Decade

R.H. Dodds

50 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R.H. Dodds United States 23 1.5k 1.1k 678 373 228 51 1.7k
Cláudio Ruggieri Brazil 27 2.1k 1.4× 1.9k 1.7× 866 1.3× 570 1.5× 279 1.2× 135 2.4k
Fumiyoshi Minami Japan 17 1.1k 0.7× 1.3k 1.1× 477 0.7× 309 0.8× 231 1.0× 191 1.6k
E. R. de los Rios United Kingdom 19 1.2k 0.8× 1.0k 0.9× 658 1.0× 193 0.5× 180 0.8× 54 1.5k
Edmundo Corona United States 19 955 0.6× 1.3k 1.1× 363 0.5× 118 0.3× 460 2.0× 50 1.5k
敬宜 村上 4 852 0.6× 1.0k 0.9× 390 0.6× 163 0.4× 137 0.6× 5 1.3k
Eberhard Roos Germany 19 757 0.5× 789 0.7× 326 0.5× 129 0.3× 132 0.6× 129 1.0k
Sylvie Pommier France 20 865 0.6× 594 0.5× 305 0.4× 118 0.3× 196 0.9× 53 1.1k
Chin-Hyung Lee South Korea 26 1.2k 0.8× 1.1k 1.0× 314 0.5× 201 0.5× 464 2.0× 80 1.8k
Shuji Aihara Japan 17 831 0.6× 715 0.6× 407 0.6× 212 0.6× 294 1.3× 127 1.1k
Noriyasu OGUMA Japan 14 1.0k 0.7× 904 0.8× 440 0.6× 200 0.5× 239 1.0× 54 1.2k

Countries citing papers authored by R.H. Dodds

Since Specialization
Citations

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

Fields of papers citing papers by R.H. Dodds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.H. Dodds. 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 R.H. Dodds. The network helps show where R.H. Dodds may publish in the future.

Co-authorship network of co-authors of R.H. Dodds

This figure shows the co-authorship network connecting the top 25 collaborators of R.H. Dodds. A scholar is included among the top collaborators of R.H. Dodds 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 R.H. Dodds. R.H. Dodds 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
1.
Messner, Mark, A.J. Beaudoin, & R.H. Dodds. (2014). Mesoscopic modeling of crack arrestor delamination in Al–Li: primary crack shielding and $${T}$$ T -stress effect. International Journal of Fracture. 188(2). 229–249. 14 indexed citations
2.
Sobotka, James C. & R.H. Dodds. (2014). Effects of steady ductile crack growth on cleavage fracture from three-dimensional, small-scale yielding simulations. Engineering Fracture Mechanics. 127. 211–225. 6 indexed citations
3.
Sobotka, James C. & R.H. Dodds. (2013). Side-groove effects in three-dimensional small-scale yielding: A load and thickness-scaling model. Engineering Fracture Mechanics. 102. 218–234. 5 indexed citations
4.
Sobotka, James C. & R.H. Dodds. (2010). T-stress effects on steady crack growth in a thin, ductile plate under small-scale yielding conditions: Three-dimensional modeling. Engineering Fracture Mechanics. 78(6). 1182–1200. 16 indexed citations
5.
Petti, Jason P., et al.. (2009). SE(B)試験片の亀裂開口変位に基づくη係数. Journal of Testing and Evaluation. 37(4). 383–386. 1 indexed citations
6.
Sobotka, James C., R.H. Dodds, & Petros Sofronis. (2009). Effects of hydrogen on steady, ductile crack growth: Computational studies. International Journal of Solids and Structures. 46(22-23). 4095–4106. 11 indexed citations
7.
Dodds, R.H., et al.. (2003). Three‐dimensional effects on fatigue crack closure in the small‐scale yielding regime – a finite element study. Fatigue & Fracture of Engineering Materials & Structures. 26(8). 663–673. 50 indexed citations
8.
Jin, Z.‐H. & R.H. Dodds. (2003). Crack growth resistance behavior of a functionally graded material: computational studies. Engineering Fracture Mechanics. 71(12). 1651–1672. 30 indexed citations
9.
Dodds, R.H., et al.. (2003). Effect of T-stress on fatigue crack closure in 3-D small-scale yielding. International Journal of Solids and Structures. 41(9-10). 2581–2606. 58 indexed citations
10.
Dodds, R.H., et al.. (2000). Modeling the effects of residual stresses on defects in welds of steel frame connections. Engineering Structures. 22(9). 1103–1120. 44 indexed citations
11.
Dawicke, D. S., et al.. (1999). Residual Strength Predictions with Crack Buckling. NASA Technical Reports Server (NASA). 5 indexed citations
12.
Gao, Xiaofeng, Cláudio Ruggieri, & R.H. Dodds. (1998). Calibration of Weibull stress parameters using fracture toughness data. International Journal of Fracture. 92(2). 175–200. 175 indexed citations
13.
Ruggieri, Cláudio & R.H. Dodds. (1996). Probabilistic Modeling of Brittle Fracture Including 3-D Effects on Constraint Loss and Ductile Tearing. Springer Link (Chiba Institute of Technology). 1 indexed citations
14.
Ruggieri, Cláudio & R.H. Dodds. (1996). Probabilistic Modeling of Brittle Fracture Including 3-D Effects on Constraint Loss and Ductile Tearing. Journal de Physique IV (Proceedings). 6(C6). C6–353. 24 indexed citations
15.
Kirk, MT & R.H. Dodds. (1993). J and CTOD Estimation Equations for Shallow Cracks in Single Edge Notch Bend Specimens. Journal of Testing and Evaluation. 21(4). 228–238. 106 indexed citations
16.
Dodds, R.H., et al.. (1990). Improved numerical techniques for plasticity computations in finite element analysis. Computers & Structures. 36(1). 183–185. 2 indexed citations
17.
Carpenter, William C., David T. Read, & R.H. Dodds. (1986). Comparison of several path independent integrals including plasticity effects. International Journal of Fracture. 31(4). 303–323. 34 indexed citations
18.
Rolfe, S. T., et al.. (1984). Failure prediction of notched pressure vessels using the CTOD approach. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
19.
Schmidt, Richard J. & R.H. Dodds. (1983). Theoretical and software considerations for nonlinear dynamic analysis. NASA Technical Reports Server (NASA). 1 indexed citations
20.
Surana, Karan S., et al.. (1979). Curved Shell Element and Its Implementation in McAuto Strudl. 58–70. 7 indexed citations

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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