Michael S. White

43 papers receiving 597 citations

Peers

Michael S. White
Comparison fields: 5 of 108
  • Electronic, Optical and Magnetic Materials 125
  • Nature and Landscape Conservation 83
  • Environmental Chemistry 62
  • Polymers and Plastics 80
  • Cellular and Molecular Neuroscience 78
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Aruna Asipu United Kingdom
Takahiro Hasegawa Japan
Feifan Zhang China
Alberto Ardura-Fabregat Germany
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Citations per year

Countries citing papers authored by Michael S. White

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200880
2 201775
3 198662
4 199034
5 198732
6 202030
7 201126
8 198926
9 197924
10 202021
11 201020
12 199720
13 198919
14 199818
15 198716
16 200114
17
Pole-zero system Identification Using Genetic Algorithms
199313
18 201813
19 202111
20 200811

About Michael S. White

Michael S. White is a scholar working on Organic Chemistry, Surgery, Nature and Landscape Conservation, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 640 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (6 papers), Advanced Adaptive Filtering Techniques (5 papers), Synthesis and properties of polymers (4 papers), Neuroscience and Neural Engineering (3 papers), Silicone and Siloxane Chemistry (3 papers), Freshwater macroinvertebrate diversity and ecology (3 papers), Liquid Crystal Research Advancements (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (125 citations), Nature and Landscape Conservation (83 citations), Environmental Chemistry (62 citations), Polymers and Plastics (80 citations) and Cellular and Molecular Neuroscience (78 citations). Michael S. White has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Roger G. Whittaker, G. W. Gray, D. Lacey, Robert A. Metcalfe, Marguerite A. Xenopoulos, Gary Nestor, Elizabeth A. Stoll, Carolina Gándara, Kristy L. Hogsden and Peter J. Dillon. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Human Gene Therapy Methods, The American Journal of Surgery, Polymer and Digestive Diseases and Sciences.

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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