Michael E. Winter

2.3k citations
38 papers · 1.7k · 1 hit paper · h-index 13

Impact in

Papers in

Michael E. Winter

34 papers receiving 1.6k citations

Michael E. Winter's Hit Papers

<title>N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data</title> 1999 · 1.1k citations
1.1k0+9+18Years since publication2505007501000

Peers

Michael E. Winter
Comparison fields: 5 of 128
  • Media Technology 1.1k
  • Atmospheric Science 629
  • Analytical Chemistry 181
  • Computer Vision and Pattern Recognition 180
  • Biophysics 48
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Countries citing papers authored by Michael E. Winter

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Winter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
<title>N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data</title>
Hit paper breakdown →
19991081
2
Basic clinical pharmacokinetics
1980233
3 200448
4 198432
5 199532
6 200225
7 200723
8 201123
9 200222
10 198616
11 200414
12 200113
13 199012
14 200310
15 199910
16 200210
17 20049
18 20009
19
Appropriateness of sampling times for therapeutic drug monitoring.
19847
20 20064

About Michael E. Winter

Michael E. Winter is a scholar working on Media Technology, Artificial Intelligence, Analytical Chemistry, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (24 papers), Geochemistry and Geologic Mapping (10 papers), Advanced Image Fusion Techniques (9 papers), Spectroscopy and Chemometric Analyses (5 papers), Infrared Target Detection Methodologies (4 papers), Pharmaceutical studies and practices (4 papers), Remote Sensing and Land Use (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Media Technology (1.1k citations), Atmospheric Science (629 citations), Analytical Chemistry (181 citations), Computer Vision and Pattern Recognition (180 citations) and Biophysics (48 citations). Michael E. Winter has collaborated with scholars based in United States, Australia and Argentina. Frequent co-authors include Edwin M. Winter, Thomas N. Tozer, Scott G. Beaven, Anthony J. Ratkowski, P. G. Lucey, Eric T. Herfindal, T.J. Williams, David Gillis, Jeffrey H. Bowles and B. Joseph Guglielmo. Their work appears in journals such as American Journal of Health-System Pharmacy, Annals of Pharmacotherapy, Neurology, Clinical Chemistry and American Journal of Pharmaceutical Education.

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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