Michael J. Higgins

5.5k citations
105 papers · 4.4k · h-index 39

Impact in

Papers in

Michael J. Higgins

105 papers receiving 4.3k citations

Peers

Michael J. Higgins
Comparison fields: 5 of 139
  • Biomaterials 1.0k
  • Surfaces, Coatings and Films 529
  • Polymers and Plastics 863
  • Biomedical Engineering 1.9k
  • Bioengineering 224
Replace Graham J. Leggett with:
Graham J. Leggett United Kingdom
Emmanuel Stratakis Greece
Morley O. Stone United States
Sergei Magonov United States
Mirko Prato Italy
Mohammad F. Islam United States
Geunbae Lim South Korea
Nadine Wong Shi Kam United States
David A. LaVan United States
Brian J. Rodriguez Ireland
Michael J. Higgins relative to Graham J. Leggett United Kingdom Graham J. Leggett's profile →
Citations per field
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Graham J. Leggett · 1×
Citations per year

Countries citing papers authored by Michael J. Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006186
2 2009184
3 2001171
4 2014154
5 2007154
6 2012142
7 2017133
8 2007132
9 2006122
10 2005117
11 2010115
12 2011102
13 2017101
14 200698
15 201198
16 201892
17 200391
18 200285
19 200373
20 200072

About Michael J. Higgins

Michael J. Higgins is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics, Polymers and Plastics, Surfaces, Coatings and Films and Biomaterials, having authored 105 papers that have together received 4.4k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (38 papers), Conducting polymers and applications (30 papers), Advanced Sensor and Energy Harvesting Materials (25 papers), Polymer Surface Interaction Studies (21 papers), Neuroscience and Neural Engineering (13 papers), Analytical Chemistry and Sensors (12 papers), Electrospun Nanofibers in Biomedical Applications (9 papers) and Mechanical and Optical Resonators (9 papers). The work is most often cited by research in Biomaterials (1.0k citations), Surfaces, Coatings and Films (529 citations), Polymers and Plastics (863 citations), Biomedical Engineering (1.9k citations) and Bioengineering (224 citations). Michael J. Higgins has collaborated with scholars based in Australia, Ireland and Russia. Frequent co-authors include Gordon G. Wallace, Suzanne Jarvis, Takeshi Fukuma, Richard Wetherbee, Paul J. Molino, Paul Mulvaney, John E. Sader, Simon E. Moulton, Robert M. I. Kapsa and Simon Crawford. Their work appears in journals such as Nanotechnology, Langmuir, Biointerphases, Nanoscale and Journal of Phycology.

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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