Michael Moorehead

716 citations
18 papers · 512 · h-index 11

Impact in

Papers in

    • High Entropy Alloys Studies 12
    • Additive Manufacturing Materials and Processes 9
    • Advanced materials and composites 3
    • Nuclear Materials and Properties 6
    • Machine Learning in Materials Science 4
    • Fusion materials and technologies 3

Michael Moorehead

17 papers receiving 491 citations

Peers

Michael Moorehead
Comparison fields: 5 of 40
  • Mechanical Engineering 413
  • Aerospace Engineering 246
  • Metals and Alloys 18
  • Automotive Engineering 53
  • Materials Chemistry 193
Replace Calvin Parkin with:
Calvin Parkin United States
Imants Kaldre Latvia
Xichun Chen China
Suresh Sundarraj United States
Givanildo Alves dos Santos Brazil
Ming Pang China
Honggang Zhong China
Xin Geng China
Michael Moorehead relative to Calvin Parkin United States Calvin Parkin's profile →
Citations per field
00.5×3.5×
Calvin Parkin · 1×
Citations per year

Countries citing papers authored by Michael Moorehead

Since Specialization
Citations

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

Fields of papers citing papers by Michael Moorehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Moorehead, 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 Michael Moorehead Line = papers co-authored together Michael Moorehead links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2019204
2 202047
3 201940
4 202238
5 201937
6 202130
7 202127
8 202320
9 202318
10 202217
11 202212
12 20248
13 20225
14 20214
15 20242
16 20232
17 20241
18 20250

About Michael Moorehead

Michael Moorehead is a scholar working on Mechanical Engineering, Materials Chemistry, Aerospace Engineering, Metals and Alloys and Mechanics of Materials, having authored 18 papers that have together received 512 indexed citations. Recurring topics across this work include High Entropy Alloys Studies (12 papers), Additive Manufacturing Materials and Processes (9 papers), Nuclear Materials and Properties (6 papers), High-Temperature Coating Behaviors (6 papers), Machine Learning in Materials Science (4 papers), Fusion materials and technologies (3 papers), Advanced materials and composites (3 papers) and Nuclear reactor physics and engineering (2 papers). The work is most often cited by research in Mechanical Engineering (413 citations), Aerospace Engineering (246 citations), Metals and Alloys (18 citations), Automotive Engineering (53 citations) and Materials Chemistry (193 citations). Michael Moorehead has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Adrien Couet, Kumar Sridharan, Calvin Parkin, Mohamed Elbakhshwan, Dan J. Thoma, Chuan Zhang, K.M. Bertsch, Jing Hu, Phalgun Nelaturu and Marwan Haddad. Their work appears in journals such as Journal of Nuclear Materials, Nuclear Engineering and Technology, Energies, Journal of Materials Processing Technology and Scientific Reports.

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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