Stephen DeWitt

438 total citations
24 papers, 281 citations indexed

About

Stephen DeWitt is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Stephen DeWitt has authored 24 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 9 papers in Mechanical Engineering and 7 papers in Aerospace Engineering. Recurrent topics in Stephen DeWitt's work include Aluminum Alloy Microstructure Properties (7 papers), Additive Manufacturing Materials and Processes (5 papers) and Solidification and crystal growth phenomena (5 papers). Stephen DeWitt is often cited by papers focused on Aluminum Alloy Microstructure Properties (7 papers), Additive Manufacturing Materials and Processes (5 papers) and Solidification and crystal growth phenomena (5 papers). Stephen DeWitt collaborates with scholars based in United States and United Kingdom. Stephen DeWitt's co-authors include Katsuyo Thornton, Shiva Rudraraju, David Montiel, Raúl A. Enrique, George Biros, Balasubramaniam Radhakrishnan, Nathan Hahn, Kevin R. Zavadil, Alice Sleightholme and Charles W. Monroe and has published in prestigious journals such as Journal of The Electrochemical Society, Langmuir and Acta Materialia.

In The Last Decade

Stephen DeWitt

21 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen DeWitt United States	10	155	111	67	64	58	24	281
Vahid Attari United States	13	286 1.8×	263 2.4×	75 1.1×	145 2.3×	86 1.5×	32	534
Fei Sun China	12	215 1.4×	142 1.3×	46 0.7×	39 0.6×	23 0.4×	45	354
Martin Švec Czechia	11	84 0.5×	194 1.7×	51 0.8×	10 0.2×	45 0.8×	52	352
Mingwei Hu China	10	230 1.5×	104 0.9×	46 0.7×	79 1.2×	20 0.3×	22	372
Brent Vela United States	11	144 0.9×	274 2.5×	96 1.4×	13 0.2×	27 0.5×	20	374
A. Durga Sweden	11	153 1.0×	383 3.5×	133 2.0×	32 0.5×	90 1.6×	17	448
Zhiyong Huang China	16	426 2.7×	61 0.5×	56 0.8×	91 1.4×	40 0.7×	42	555
Gábor Csiszár Hungary	13	279 1.8×	250 2.3×	33 0.5×	50 0.8×	9 0.2×	36	468
Ruijie Zhang China	13	305 2.0×	309 2.8×	149 2.2×	30 0.5×	13 0.2×	48	478

Countries citing papers authored by Stephen DeWitt

Since Specialization

Citations

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

Fields of papers citing papers by Stephen DeWitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen DeWitt. 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 Stephen DeWitt. The network helps show where Stephen DeWitt may publish in the future.

Co-authorship network of co-authors of Stephen DeWitt

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

All Works

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20 of 20 papers shown

Venkatakrishnan, Singanallur, et al.. (2025). Simulation driven adaptive sampling for neutron-diffraction based strain mapping of additively manufactured parts ^*. Machine Learning Science and Technology. 6(4). 45037–45037.

DeWitt, Stephen, Tirthankar Ghosal, Marshall McDonnell, et al.. (2025). AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities. 2354–2361.

Knapp, Gerry, et al.. (2025). Myna: Connecting powder bed fusion build data to simulation tools for digital twin applications. Computational Materials Science. 258. 114094–114094. 1 indexed citations

Souza, Renan P., Stephen DeWitt, Tirthankar Ghosal, et al.. (2025). PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows. 467–473. 3 indexed citations

DeWitt, Stephen, et al.. (2024). GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure. Journal of Computational Physics. 510. 113061–113061. 5 indexed citations

Fattebert, Jean‐Luc, Stephen DeWitt, Pablo Seleson, et al.. (2024). Co-design for Particle Applications at Exascale. Computing in Science & Engineering. 26(2). 43–52. 1 indexed citations

Turcksin, Bruno & Stephen DeWitt. (2024). Adamantine 1.0: A Thermomechanical Simulator forAdditive Manufacturing. The Journal of Open Source Software. 9(102). 7017–7017. 3 indexed citations

Fattebert, Jean‐Luc, Stephen DeWitt, Aurélien Perron, & John Turner. (2023). Thermo4PFM: Facilitating Phase-field simulations of alloys with thermodynamic driving forces. Computer Physics Communications. 288. 108739–108739. 6 indexed citations

Fattebert, Jean‐Luc, Stephen DeWitt, Aurélien Perron, & John G. Turner. (2023). Thermo4pfm: Facilitating Phase-Field Simulations of Alloys with Thermodynamic Driving Forces. SSRN Electronic Journal.

10.

DeWitt, Stephen, et al.. (2022). Dendrite-resolved, full-melt-pool phase-field simulations to reveal non-steady-state effects and to test an approximate model. Computational Materials Science. 207. 111262–111262. 11 indexed citations

11.

Turner, John, James Belak, Nathan R. Barton, et al.. (2022). ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure. The International Journal of High Performance Computing Applications. 36(1). 13–39. 29 indexed citations

12.

Goel, Vishwas, et al.. (2022). Simulating microgalvanic corrosion in alloys using the PRISMS phase-field framework. MRS Communications. 12(6). 1050–1059. 11 indexed citations

13.

DeWitt, Stephen, et al.. (2020). PRISMS-PF: A general framework for phase-field modeling with a matrix-free finite element method. npj Computational Materials. 6(1). 52 indexed citations

14.

Wheeler, Daniel, Trevor Keller, Stephen DeWitt, et al.. (2019). PFHub: The Phase-Field Community Hub. Journal of Open Research Software. 7(1). 29–29. 9 indexed citations

15.

DeWitt, Stephen & Susan Gentry. (2019). PRISMS-PF: Equilibrium Shape for a Misfitting Precipitate. 1 indexed citations

16.

DeWitt, Stephen, Anirudh Raju Natarajan, Vicente Araullo‐Peters, et al.. (2017). Misfit-driven β′′′ precipitate composition and morphology in Mg-Nd alloys. Acta Materialia. 136. 378–389. 36 indexed citations

17.

Chadwick, Alexander F., Gülin Vardar, Stephen DeWitt, et al.. (2016). Computational Model of Magnesium Deposition and Dissolution for Property Determination via Cyclic Voltammetry. Journal of The Electrochemical Society. 163(9). A1813–A1821. 25 indexed citations

18.

DeWitt, Stephen & Katsuyo Thornton. (2016). Simulations of Anodic Nanopore Growth Using the Smoothed Boundary and Level Set Methods. The Journal of Physical Chemistry C. 120(4). 2419–2431. 6 indexed citations

19.

DeWitt, Stephen, Nathan Hahn, Kevin R. Zavadil, & Katsuyo Thornton. (2015). Computational Examination of Orientation-Dependent Morphological Evolution during the Electrodeposition and Electrodissolution of Magnesium. Journal of The Electrochemical Society. 163(3). A513–A521. 27 indexed citations

20.

DeWitt, Stephen & Katsuyo Thornton. (2014). Model for Anodic Film Growth on Aluminum with Coupled Bulk Transport and Interfacial Reactions. Langmuir. 30(18). 5314–5325. 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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