Florence Nelson

418 citations
10 papers · 326 · h-index 6

Impact in

Papers in

Florence Nelson

10 papers receiving 318 citations

Peers

Florence Nelson
Comparison fields: 5 of 35
  • Structural Biology 8
  • Materials Chemistry 234
  • Atomic and Molecular Physics, and Optics 130
  • Biomedical Engineering 153
  • Electronic, Optical and Magnetic Materials 56
Replace L. Marušić with:
L. Marušić Croatia
Leonhard Prechtel Germany
D. V. Kazantsev Russia
T. Taniguchi Japan
Eli Janzen United States
Julia Winnerl Germany
Matthias Hirtschulz Germany
M. A. Khan United States
Lukas Linhart Austria
Geunchang Choi South Korea
Florence Nelson relative to L. Marušić Croatia L. Marušić's profile →
Citations per field
00.5×1.5×
L. Marušić · 1×
Citations per year

Countries citing papers authored by Florence Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Florence Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Florence Nelson, 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 Florence Nelson Line = papers co-authored together Florence Nelson links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2010159
2 201360
3 201457
4 201220
5 201014
6 20139
7 20113
8 20122
9 20091
10 20141

About Florence Nelson

Florence Nelson is a scholar working on Materials Chemistry, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Surfaces, Coatings and Films, having authored 10 papers that have together received 326 indexed citations. Recurring topics across this work include Graphene research and applications (7 papers), Surface and Thin Film Phenomena (3 papers), Plasmonic and Surface Plasmon Research (3 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Advanced Text Analysis Techniques (1 paper), Graphene and Nanomaterials Applications (1 paper), Semantic Web and Ontologies (1 paper) and Nonlinear Optical Materials Studies (1 paper). The work is most often cited by research in Structural Biology (8 citations), Materials Chemistry (234 citations), Atomic and Molecular Physics, and Optics (130 citations), Biomedical Engineering (153 citations) and Electronic, Optical and Magnetic Materials (56 citations). Florence Nelson has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Alain C. Diebold, Vimal Kamineni, Ting Zhang, Everett Comfort, Ji Ung Lee, Yong Q. An, Stephen J. Pennycook, Sokrates T. Pantelides, Juan Carlos Idrobo and Z. L. Mišković. Their work appears in journals such as Nano Letters, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Microscopy and Microanalysis, Applied Physics Letters and ECS Transactions.

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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