Michael McKerns

603 citations
33 papers · 435 · h-index 13

Impact in

Papers in

Michael McKerns

31 papers receiving 419 citations

Peers

Michael McKerns
Comparison fields: 5 of 70
  • Statistics, Probability and Uncertainty 84
  • Electronic, Optical and Magnetic Materials 85
  • Materials Chemistry 206
  • Physical and Theoretical Chemistry 32
  • Biomedical Engineering 129
Replace Evgenii B. Rudnyi with:
Evgenii B. Rudnyi Germany
Virginie Ehrlacher France
Raymond A. Adomaitis United States
John Watson United States
S.H. Chen Canada
Motoo Hori Japan
Hiroshi Akiba Japan
Christina Papenfuß Germany
Isabelle Braems France
R. Muralidhar United States
Michael McKerns relative to Evgenii B. Rudnyi Germany Evgenii B. Rudnyi's profile →
Citations per field
00.5×2×3.2×
Evgenii B. Rudnyi · 1×
Citations per year

Countries citing papers authored by Michael McKerns

Since Specialization
Citations

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

Fields of papers citing papers by Michael McKerns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201375
2 199848
3 200435
4 200931
5 201128
6 200027
7 201022
8 201121
9 199919
10 200514
11 202313
12 201413
13 202012
14 202410
15 20109
16 20139
17 20188
18 20227
19 20166
20 19986

About Michael McKerns

Michael McKerns is a scholar working on Materials Chemistry, Statistics, Probability and Uncertainty, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 33 papers that have together received 435 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (7 papers), Porphyrin and Phthalocyanine Chemistry (6 papers), Nonlinear Optical Materials Studies (6 papers), Photochemistry and Electron Transfer Studies (4 papers), High-Velocity Impact and Material Behavior (3 papers), Laser-Matter Interactions and Applications (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Nuclear Physics and Applications (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (84 citations), Electronic, Optical and Magnetic Materials (85 citations), Materials Chemistry (206 citations), Physical and Theoretical Chemistry (32 citations) and Biomedical Engineering (129 citations). Michael McKerns has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Houman Owhadi, Wenfang Sun, Gary M. Gray, Timothy Sullivan, M. Ortíz, Brent Fultz, Chen Li, Clare C. Byeon, Duoyuan Wang and Clint Scovel. Their work appears in journals such as Journal of the Mechanics and Physics of Solids, Applied Physics Letters, Physics of Fluids, Journal of Applied Crystallography 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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