Michael McKerns

603 citations
32 papers · 405 · h-index 12

Impact in

Papers in

Michael McKerns

30 papers receiving 395 citations

Peers

Michael McKerns
Comparison fields: 5 of 68
  • Statistics, Probability and Uncertainty 74
  • Electronic, Optical and Magnetic Materials 83
  • Materials Chemistry 201
  • Physical and Theoretical Chemistry 32
  • Biomedical Engineering 124
Replace Evgenii B. Rudnyi with:
Evgenii B. Rudnyi Germany
Raymond A. Adomaitis United States
Virginie Ehrlacher France
Hiroshi Akiba Japan
Steven Atkinson United States
Christina Papenfuß Germany
Yuki Sato Japan
John Watson United States
Carlo de Falco Italy
Motoo Hori Japan
Michael McKerns relative to Evgenii B. Rudnyi Germany Evgenii B. Rudnyi's profile →
Citations per field
00.5×3.2×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201366
2 199847
3 200435
4 200931
5 200027
6 201124
7 201021
8 199919
9 201118
10 200514
11 202313
12 202012
13 201410
14 20249
15 20188
16 20107
17 20227
18 20166
19 20136
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 32 papers that have together received 405 indexed citations. Recurring topics across this work include Porphyrin and Phthalocyanine Chemistry (6 papers), Probabilistic and Robust Engineering Design (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), Nuclear Physics and Applications (3 papers) and X-ray Diffraction in Crystallography (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (74 citations), Electronic, Optical and Magnetic Materials (83 citations), Materials Chemistry (201 citations), Physical and Theoretical Chemistry (32 citations) and Biomedical Engineering (124 citations). Michael McKerns has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Gary M. Gray, Wenfang Sun, Houman Owhadi, Timothy Sullivan, M. Ortíz, Clare C. Byeon, Chen Li, Brent Fultz, Duoyuan Wang and Clint Scovel. Their work appears in journals such as Journal of the Mechanics and Physics of Solids, Journal of Applied Crystallography, Applied Physics Letters, Physics of Fluids 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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