Daniel T. Martinez

1.0k total citations
51 papers, 766 citations indexed

About

Daniel T. Martinez is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Daniel T. Martinez has authored 51 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Materials Chemistry, 23 papers in Mechanical Engineering and 9 papers in Mechanics of Materials. Recurrent topics in Daniel T. Martinez's work include High-Velocity Impact and Material Behavior (20 papers), Additive Manufacturing Materials and Processes (11 papers) and Microstructure and mechanical properties (11 papers). Daniel T. Martinez is often cited by papers focused on High-Velocity Impact and Material Behavior (20 papers), Additive Manufacturing Materials and Processes (11 papers) and Microstructure and mechanical properties (11 papers). Daniel T. Martinez collaborates with scholars based in United States, Spain and Germany. Daniel T. Martinez's co-authors include Saryu Fensin, David R. Jones, Carl P Trujillo, G. T. Gray, Ellen K Cerreta, J. Rivas, F. Walz, George T. Gray, Benjamin Morrow and Ricardo A. Lebensohn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Acta Materialia.

In The Last Decade

Daniel T. Martinez

48 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel T. Martinez United States 16 479 410 219 104 66 51 766
Hongxian Xie China 14 625 1.3× 439 1.1× 166 0.8× 72 0.7× 31 0.5× 62 850
Cyril L. Williams United States 16 509 1.1× 648 1.6× 305 1.4× 98 0.9× 58 0.9× 44 906
B.X. Bie China 15 363 0.8× 344 0.8× 193 0.9× 76 0.7× 33 0.5× 29 636
Víctor H. López-Morelos Mexico 20 424 0.9× 1.1k 2.6× 268 1.2× 273 2.6× 20 0.3× 105 1.4k
В. И. Мали Russia 18 632 1.3× 1.0k 2.5× 164 0.7× 125 1.2× 15 0.2× 97 1.2k
G. V. Garkushin Russia 16 696 1.5× 328 0.8× 390 1.8× 75 0.7× 235 3.6× 86 894
E. Tejado Spain 15 481 1.0× 444 1.1× 167 0.8× 81 0.8× 17 0.3× 34 659
Michael C. Halbig United States 13 610 1.3× 951 2.3× 150 0.7× 81 0.8× 28 0.4× 48 1.3k
Q. Xue United States 13 1.2k 2.5× 709 1.7× 632 2.9× 141 1.4× 129 2.0× 19 1.4k
P. Landau Israel 15 693 1.4× 482 1.2× 312 1.4× 124 1.2× 50 0.8× 24 887

Countries citing papers authored by Daniel T. Martinez

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Martinez'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 Daniel T. Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Martinez more than expected).

Fields of papers citing papers by Daniel T. Martinez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Martinez. 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 Daniel T. Martinez. The network helps show where Daniel T. Martinez may publish in the future.

Co-authorship network of co-authors of Daniel T. Martinez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Martinez. A scholar is included among the top collaborators of Daniel T. Martinez 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 Daniel T. Martinez. Daniel T. Martinez 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.
Jones, David R., et al.. (2025). Dynamic fracture response of Cantor-derived medium entropy alloys. Acta Materialia. 292. 121037–121037. 1 indexed citations
2.
Derby, Benjamin K., Ankur Agrawal, David R. Jones, et al.. (2025). Tailoring additive manufacturing to optimize dynamic properties in 316L stainless steel. Journal of Applied Physics. 137(10).
3.
Lind, Jonathan, Justin Brown, Michael B. Prime, et al.. (2025). A surprising proliferation of detwinning in β-tin at extreme loading rates. Scripta Materialia. 264. 116727–116727.
4.
Martinez, Daniel T., et al.. (2024). Dynamic and quasi-static strength of additively repaired aluminum. Journal of Applied Physics. 136(9). 1 indexed citations
5.
Nguyen, Thao, Leonid Burakovsky, Saryu Fensin, et al.. (2024). Calibration and validation of the foundation for a multiphase strength model for tin. Journal of Applied Physics. 135(22). 3 indexed citations
6.
Prime, Michael B., et al.. (2024). Multiscale Richtmyer-Meshkov instability experiments to isolate the strain rate dependence of strength. Physical review. E. 109(1). 15002–15002. 8 indexed citations
7.
Jones, David R., et al.. (2023). The effect of microstructure on the dynamic shock response of 1045 steel. Acta Materialia. 250. 118874–118874. 16 indexed citations
8.
Martinez, Daniel T., et al.. (2023). Spall strength of additively repaired 304L stainless steel. Journal of Applied Physics. 134(24). 8 indexed citations
9.
Gigax, Jonathan, David R. Jones, Hyosim Kim, et al.. (2023). Transition in helium bubble strengthening of copper from quasi-static to dynamic deformation. Acta Materialia. 254. 118987–118987. 5 indexed citations
10.
Martinez, Daniel T., James A. Valdez, Carl P Trujillo, et al.. (2022). The influence of pearlite fraction on the shock properties of ferrite–pearlite steel microstructures: Insight into the effect of second-phase particles. Journal of Applied Physics. 131(11). 9 indexed citations
11.
Lawrence, Samantha K., et al.. (2022). Dynamic properties of 316l stainless steel repaired using electron beam additive manufacturing. Acta Materialia. 246. 118636–118636. 30 indexed citations
12.
Fensin, Saryu, David R. Jones, Daniel T. Martinez, Brian M. Patterson, & George T. Gray. (2022). Effect of grain size on damage and failure in two-phase materials: Homogenized CuPb. Journal of Applied Physics. 131(10). 2 indexed citations
13.
Prime, Michael B., W. T. Buttler, Saryu Fensin, et al.. (2019). Tantalum strength at extreme strain rates from impact-driven Richtmyer-Meshkov instabilities. Physical review. E. 100(5). 53002–53002. 29 indexed citations
15.
Gray, George T., Veronica Livescu, David R. Jones, et al.. (2018). Structure / Property (Constitutive and Dynamic Strength / Damage) Behavior of Additively Manufactured Tantalum. SHILAP Revista de lepidopterología. 183. 3002–3002. 1 indexed citations
16.
Jones, David R., Saryu Fensin, Daniel T. Martinez, Carl P Trujillo, & G. T. Gray. (2018). Effect of peak stress and tensile strain-rate on spall in tantalum. Journal of Applied Physics. 124(8). 46 indexed citations
17.
Fensin, Saryu, et al.. (2015). Dynamic failure in two-phase materials. Journal of Applied Physics. 118(23). 31 indexed citations
18.
Martinez, Daniel T., et al.. (2012). Magnetic and ferroelectric response of Ca2TiMnO6 manganite-like perovskite. Revista Mexicana de Física. 58(2). 44–46. 2 indexed citations
19.
Martinez, Daniel T. & J. Roa‐Rojas. (2012). Magnetic, structural and morphologic study of the RE2TiMgO6 double perovskite (RE = Dy, Gd). Revista Mexicana de Física. 58(2). 93–96. 1 indexed citations
20.
Martinez, Daniel T., et al.. (1992). A Note on the Magnetic After-Effect in Magnetite at Room Temperature. Is there More than One Relaxation Process?. physica status solidi (a). 134(1). K33–K36. 6 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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