Michael D. McCreary

1.2k citations
15 papers · 873 indexed · 1 hit paper · h-index 10
Topics
Electrowetting and Microfluidic Technologies (12 papers)Photonic Crystals and Applications (5 papers)Modular Robots and Swarm Intelligence (3 papers)

In The Last Decade

Michael D. McCreary

14 papers receiving 826 citations

Hit Papers

Flexible active-matrix electronic ink display20032026201020182003100200300400500

Peers

Michael D. McCreary
Comparison fields: 5 of 85
  • Electrical and Electronic Engineering 467
  • Biomedical Engineering 268
  • Spectroscopy 149
  • Materials Chemistry 144
  • Organic Chemistry 129
Replace Tatsumi Kimura with:
Tatsumi Kimura Japan
Jeff Blyth United Kingdom
Rainer Hagen Germany
Noureddine Bennis Spain
Igor Pochorovski Switzerland
Nicolas Javahiraly France
Stephen T. Kowel United States
Lishuang Yao China
L.-C. Chien United States
Chang Gu China
Michael D. McCreary relative to Tatsumi Kimura Japan Tatsumi Kimura's profile →
Citations per field
00.5×3.6×
Tatsumi Kimura · 1×
Citations per year

Countries citing papers authored by Michael D. McCreary

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. McCreary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. McCreary

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. McCreary. A scholar is included among the top collaborators of Michael D. McCreary based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael D. McCreary. Michael D. McCreary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 10
2 1
3 6
4 0
5 45
6 18
7 1
8 20
9 9
10 13
11 18
12
Flexible active-matrix electronic ink displaybreakdown →
505
13 7
14 24
15 196

About Michael D. McCreary

Michael D. McCreary is a scholar working on Electrical and Electronic Engineering, Human-Computer Interaction and Electronic, Optical and Magnetic Materials, having authored 15 papers that have together received 873 indexed citations. Recurring topics across this work include Electrowetting and Microfluidic Technologies (12 papers), Photonic Crystals and Applications (5 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Human-Computer Interaction (69 citations), Spectroscopy (149 citations) and Electrical and Electronic Engineering (467 citations). Michael D. McCreary has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Peter T. Kazlas, Holly Gates, Joanna Au, Andrew Ritenour, George M. Whitesides, Daniel W. Lewis, David L. Wernick, Thomas H. Whitesides, W. G. Klemperer and E. L. Muetterties. Their work appears in journals such as Nature, Journal of the American Chemical Society and MRS Bulletin.

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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