Matthew C. Kuner

503 total citations
4 papers, 32 citations indexed

About

Matthew C. Kuner is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Matthew C. Kuner has authored 4 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Materials Chemistry, 2 papers in Mechanical Engineering and 1 paper in Aerospace Engineering. Recurrent topics in Matthew C. Kuner's work include Machine Learning in Materials Science (2 papers), Welding Techniques and Residual Stresses (1 paper) and Shape Memory Alloy Transformations (1 paper). Matthew C. Kuner is often cited by papers focused on Machine Learning in Materials Science (2 papers), Welding Techniques and Residual Stresses (1 paper) and Shape Memory Alloy Transformations (1 paper). Matthew C. Kuner collaborates with scholars based in United States. Matthew C. Kuner's co-authors include Patxi Fernandez-Zelaia, Sébastien Dryepondt, Dimitris C. Lagoudas, Kristin A. Persson, Aaron D. Kaplan, D. C. Chrzan, Mark Asta and Eric Rothchild and has published in prestigious journals such as Smart Materials and Structures, Additive manufacturing and Computational Materials Science.

In The Last Decade

Matthew C. Kuner

4 papers receiving 31 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 C. Kuner United States 3 20 12 9 7 2 4 32
Abhiram Abhiram 2 19 0.9× 5 0.4× 5 0.6× 3 0.4× 3 21
Zhipeng Qi China 4 19 0.9× 6 0.5× 4 0.4× 3 0.4× 3 1.5× 7 44
William Yarberry United States 4 18 0.9× 18 1.5× 6 0.7× 10 1.4× 2 1.0× 8 48
T. Bárczy Hungary 3 36 1.8× 29 2.4× 3 0.3× 6 0.9× 3 1.5× 4 61
Mengya Chen China 2 24 1.2× 7 0.6× 15 1.7× 5 30
S. Ghosh Germany 3 13 0.7× 8 0.7× 9 1.0× 4 0.6× 4 41
M. G. Osborne United States 3 12 0.6× 13 1.1× 6 0.7× 1 0.1× 2 1.0× 5 21
J. W. Reiter United States 5 8 0.4× 36 3.0× 13 1.4× 2 0.3× 9 51

Countries citing papers authored by Matthew C. Kuner

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Kuner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew C. Kuner

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

All Works

4 of 4 papers shown
1.
Kuner, Matthew C., Aaron D. Kaplan, Kristin A. Persson, Mark Asta, & D. C. Chrzan. (2025). MP-ALOE: an r2SCAN dataset for universal machine learning interatomic potentials. npj Computational Materials. 11(1). 3 indexed citations
2.
Kuner, Matthew C., Eric Rothchild, Mark Asta, & D. C. Chrzan. (2024). Ab initio property predictions of quinary solid solutions using small binary cells. Computational Materials Science. 238. 112924–112924. 2 indexed citations
3.
Kuner, Matthew C., et al.. (2021). ASMADA—A tool for automatic analysis of shape memory alloy thermal cycling data under constant stress. Smart Materials and Structures. 30(12). 125003–125003. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026