Stephen DeWitt

463 citations
26 papers · 318 · h-index 11

Impact in

Papers in

    • Solidification and crystal growth phenomena 6
    • Anodic Oxide Films and Nanostructures 3
    • Machine Learning in Materials Science 3
    • Additive Manufacturing Materials and Processes 5

Stephen DeWitt

23 papers receiving 311 citations

Peers

Stephen DeWitt
Comparison fields: 5 of 46
  • Automotive Engineering 61
  • Materials Chemistry 173
  • Mechanical Engineering 125
  • Aerospace Engineering 77
  • Metals and Alloys 7
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Fei Sun China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Stephen DeWitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen DeWitt Line = papers co-authored together Stephen DeWitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202055
2 201737
3 201731
4 202230
5 201529
6 201626
7 202218
8 202212
9 201911
10 201411
11 202211
12 20249
13 20179
14 20237
15 20167
16 20254
17 20243
18 20152
19 20242
20 20251

About Stephen DeWitt

Stephen DeWitt is a scholar working on Materials Chemistry, Mechanical Engineering, Aerospace Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 26 papers that have together received 318 indexed citations. Recurring topics across this work include Aluminum Alloy Microstructure Properties (8 papers), Solidification and crystal growth phenomena (6 papers), Additive Manufacturing Materials and Processes (5 papers), Anodic Oxide Films and Nanostructures (3 papers), Magnesium Alloys: Properties and Applications (3 papers), Advancements in Battery Materials (3 papers), Machine Learning in Materials Science (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). The work is most often cited by research in Automotive Engineering (61 citations), Materials Chemistry (173 citations), Mechanical Engineering (125 citations), Aerospace Engineering (77 citations) and Metals and Alloys (7 citations). Stephen DeWitt has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Katsuyo Thornton, Shiva Rudraraju, David Montiel, Raúl A. Enrique, George Biros, Balasubramaniam Radhakrishnan, Kevin R. Zavadil, Nathan Hahn, Larry K. Aagesen and Charles W. Monroe. Their work appears in journals such as Computational Materials Science, MRS Communications, Journal of The Electrochemical Society, Computing in Science & Engineering and Journal of Computational Physics.

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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