Matthew J. Merwin

963 total citations
10 papers, 825 citations indexed

About

Matthew J. Merwin is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Matthew J. Merwin has authored 10 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 8 papers in Materials Chemistry and 4 papers in Mechanics of Materials. Recurrent topics in Matthew J. Merwin's work include Microstructure and Mechanical Properties of Steels (8 papers), Metal Alloys Wear and Properties (7 papers) and Metallurgy and Material Forming (3 papers). Matthew J. Merwin is often cited by papers focused on Microstructure and Mechanical Properties of Steels (8 papers), Metal Alloys Wear and Properties (7 papers) and Metallurgy and Material Forming (3 papers). Matthew J. Merwin collaborates with scholars based in United States, France and South Korea. Matthew J. Merwin's co-authors include David K. Matlock, Emmanuel De Moor, John G. Speer, Paul J. Gibbs, B. Clausen, James G. Schroth, Bruno C. De Cooman, Donald W. Brown, Vahid Tari and Lionel Germain and has published in prestigious journals such as Materials Science and Engineering A, Scripta Materialia and Journal of Materials Processing Technology.

In The Last Decade

Matthew J. Merwin

9 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. Merwin United States 8 811 583 251 250 243 10 825
Daniel Križan Austria 16 806 1.0× 580 1.0× 314 1.3× 177 0.7× 221 0.9× 42 825
Artem Arlazarov France 14 682 0.8× 494 0.8× 226 0.9× 164 0.7× 184 0.8× 30 704
Carola Celada-Casero Netherlands 13 598 0.7× 387 0.7× 210 0.8× 170 0.7× 100 0.4× 21 619
Joo Hyun Ryu South Korea 13 917 1.1× 723 1.2× 245 1.0× 435 1.7× 186 0.8× 18 969
Zhiping Hu China 10 548 0.7× 442 0.8× 163 0.6× 147 0.6× 108 0.4× 19 564
Cecilia Föjer Belgium 11 718 0.9× 568 1.0× 253 1.0× 181 0.7× 142 0.6× 15 721
Minseo Koo South Korea 10 490 0.6× 413 0.7× 144 0.6× 143 0.6× 92 0.4× 13 516
A. Saha Podder India 11 546 0.7× 425 0.7× 224 0.9× 128 0.5× 53 0.2× 15 579
Aniruddha Dutta Germany 11 457 0.6× 352 0.6× 166 0.7× 105 0.4× 73 0.3× 13 489
Ching‐Yuan Huang Taiwan 11 741 0.9× 597 1.0× 251 1.0× 234 0.9× 61 0.3× 16 774

Countries citing papers authored by Matthew J. Merwin

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Merwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Merwin

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

All Works

10 of 10 papers shown
1.
2.
Merwin, Matthew J., et al.. (2020). Impact of Precipitate Morphology on the Dissolution and Grain-Coarsening Behavior of a Ti-Nb Microalloyed Linepipe Steel. Metals. 10(1). 89–89. 7 indexed citations
3.
Tari, Vahid, et al.. (2018). Austenite Reconstruction Elucidates Prior Grain Size Dependence of Toughness in a Low Alloy Steel. Metallurgical and Materials Transactions A. 49(10). 4521–4535. 30 indexed citations
4.
Gibbs, Paul J., Bruno C. De Cooman, Donald W. Brown, et al.. (2014). Strain partitioning in ultra-fine grained medium-manganese transformation induced plasticity steel. Materials Science and Engineering A. 609. 323–333. 97 indexed citations
5.
Gibbs, Paul J., Emmanuel De Moor, Matthew J. Merwin, et al.. (2011). Austenite Stability Effects on Tensile Behavior of Manganese-Enriched-Austenite Transformation-Induced Plasticity Steel. Metallurgical and Materials Transactions A. 42(12). 3691–3702. 340 indexed citations
6.
Moor, Emmanuel De, David K. Matlock, John G. Speer, & Matthew J. Merwin. (2010). Austenite stabilization through manganese enrichment. Scripta Materialia. 64(2). 185–188. 250 indexed citations
7.
Merwin, Matthew J., et al.. (2009). Analysis of Complex HSLA Steel Microstructures by Various Techniques. Microscopy and Microanalysis. 15(S2). 22–23. 1 indexed citations
8.
Merwin, Matthew J., et al.. (2007). Evolution of artificial defects from slab to rolled products. Journal of Materials Processing Technology. 196(1-3). 266–278. 10 indexed citations
9.
Merwin, Matthew J.. (2007). Low-Carbon Manganese TRIP Steels. Materials science forum. 539-543. 4327–4332. 81 indexed citations
10.
Merwin, Matthew J.. (2007). Hot- and Cold-Rolled Low-Carbon Manganese TRIP Steels. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 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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