Eric Mayes

660 citations
13 papers · 451 · h-index 9

Impact in

Papers in

Eric Mayes

11 papers receiving 428 citations

Peers

Eric Mayes
Comparison fields: 5 of 72
  • Biomaterials 157
  • Nuclear Energy and Engineering 4
  • Materials Chemistry 180
  • Electronic, Optical and Magnetic Materials 65
  • Surfaces, Coatings and Films 25
Replace Sang‐Hyon Chu with:
Sang‐Hyon Chu United States
S. Betteridge United Kingdom
Rikako Tsukamoto Japan
Malak Safi United States
Xunpei Liu United States
Zsófia Keresztes Hungary
Xiaodan Chen China
Leng Duei Koh Singapore
Jan‐Philip Merkl Germany
Melania Reggente Italy
Eric Mayes relative to Sang‐Hyon Chu United States Sang‐Hyon Chu's profile →
Citations per field
00.5×3.6×
Sang‐Hyon Chu · 1×
Citations per year

Countries citing papers authored by Eric Mayes

Since Specialization
Citations

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

Fields of papers citing papers by Eric Mayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1998103
2 200084
3 200364
4 199856
5 200045
6 200341
7 201422
8 199816
9 201913
10 19985
11
Biologically-Derived Nanomagnets for Ultrahigh Density Magnetic Recording
20021
12 20021
13 20120

About Eric Mayes

Eric Mayes is a scholar working on Biomedical Engineering, Materials Chemistry, Molecular Biology, Atomic and Molecular Physics, and Optics and Biomaterials, having authored 13 papers that have together received 451 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (5 papers), Geomagnetism and Paleomagnetism Studies (4 papers), Quantum Dots Synthesis And Properties (4 papers), Magnetic properties of thin films (4 papers), Chalcogenide Semiconductor Thin Films (2 papers), Pickering emulsions and particle stabilization (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Molecular Junctions and Nanostructures (2 papers). The work is most often cited by research in Biomaterials (157 citations), Nuclear Energy and Engineering (4 citations), Materials Chemistry (180 citations), Electronic, Optical and Magnetic Materials (65 citations) and Surfaces, Coatings and Films (25 citations). Eric Mayes has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stephen Mann, Fritz Vollrath, Kim K. W. Wong, O. I. Kasyutich, Neil H. Mendelson, Sean A. Davis, Artur M. Nartowski, David Gleeson, Harish M. Patel and Sally L. Colston. Their work appears in journals such as IEEE Transactions on Magnetics, Advanced Materials, Chemistry of Materials, Applied Physics Letters and Journal of Applied 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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