Michael Thompson

7.7k total citations · 3 hit papers
41 papers, 4.6k citations indexed

About

Michael Thompson is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Thompson has authored 41 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Thompson's work include Epigenetics and DNA Methylation (5 papers), Genetic Associations and Epidemiology (4 papers) and Single-cell and spatial transcriptomics (3 papers). Michael Thompson is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Genetic Associations and Epidemiology (4 papers) and Single-cell and spatial transcriptomics (3 papers). Michael Thompson collaborates with scholars based in United States, China and Israel. Michael Thompson's co-authors include Richard O. Duda, Peter E. Hart, Ralph Norman Haber, Maurice Hershenson, Richard J. Ellis, Eran Halperin, Ori Furman, Leah Briscoe, Liat Shenhav and Itzhak Mizrahi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Michael Thompson

34 papers receiving 4.3k citations

Hit Papers

Pattern Classification and Scene Analysis 1974 2026 1991 2008 1974 2019 1976 1000 2.0k 3.0k

Peers

Michael Thompson
Comparison fields: 5 of 214
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 1.4k
  • Signal Processing 544
  • Molecular Biology 502
  • Cognitive Neuroscience 413
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Citations per field, relative to Michael Thompson
Michael Thompson · 1×
Citations per year, relative to Michael Thompson
Michael Thompson · 1×

Countries citing papers authored by Michael Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Michael Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Thompson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Thompson. A scholar is included among the top collaborators of Michael Thompson 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 Thompson. Michael Thompson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 2
3 0
4 23
5 12
6 11
7 6
8 25
9 5
10 6
11
FEAST: fast expectation-maximization for microbial source tracking breakdown →
388
12 37
13 76
14 26
15
Fully Constrained Least Squares Estimation of Target Quantifications in Hyperspectral Images.
3
16 3
17
Culture Matters: Essays in Honor of Aaron Wildavsky
111
18 4
19 111
20 8

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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