Michael McBride

1k citations
29 papers · 921 · h-index 17

Impact in

Papers in

Michael McBride

28 papers receiving 909 citations

Peers

Michael McBride
Comparison fields: 5 of 56
  • Electrical and Electronic Engineering 624
  • Polymers and Plastics 104
  • Orthodontics 33
  • Biomaterials 57
  • Materials Chemistry 163
Replace Hugh G. Manning with:
Hugh G. Manning Ireland
John G. Newman United States
Els Tourwé Belgium
Irina V. Zaporotskova Russia
Ping‐Hsun Chu United States
István Csarnovics Hungary
Wei Shou Hu China
Jia-Chong Ho Taiwan
Fausta Loffredo Italy
Seok‐Heon Jung South Korea
Michael McBride relative to Hugh G. Manning Ireland Hugh G. Manning's profile →
Citations per field
00.5×2×4×6×8.7×
Hugh G. Manning · 1×
Citations per year

Countries citing papers authored by Michael McBride

Since Specialization
Citations

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

Fields of papers citing papers by Michael McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 2017120
3 2016109
4 201681
5 201664
6 201949
7 201539
8 201735
9 201930
10 202330
11 201927
12 202026
13 201724
14
The effectiveness of sodium fluoride iontophoresis in patients with sensitive teeth.
199121
15 201819
16 201918
17 201817
18 201615
19 201913
20 198512

About Michael McBride

Michael McBride is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Orthodontics, Computational Mechanics and Media Technology, having authored 29 papers that have together received 921 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (16 papers), Machine Learning in Materials Science (4 papers), Surface Roughness and Optical Measurements (1 paper), Semiconductor materials and devices (1 paper), Additive Manufacturing Materials and Processes (1 paper), Innovations in Medical Education (1 paper), Electrodeposition and Electroless Coatings (1 paper) and Block Copolymer Self-Assembly (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (624 citations), Polymers and Plastics (104 citations), Orthodontics (33 citations), Biomaterials (57 citations) and Materials Chemistry (163 citations). Michael McBride has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Elsa Reichmanis, Nils E. Persson, Martha A. Grover, Ping‐Hsun Chu, Guoyan Zhang, Zhibo Yuan, Bailey E. Risteen, Dalsu Choi, Nabil Kleinhenz and Michael F. Toney. Their work appears in journals such as Chemistry of Materials, ACS Applied Materials & Interfaces, Biomacromolecules, Journal of Biomedical Materials Research 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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