Michael D. Miller

1.2k total citations
28 papers, 812 citations indexed

About

Michael D. Miller is a scholar working on Plant Science, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics. According to data from OpenAlex, Michael D. Miller has authored 28 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Discrete Mathematics and Combinatorics and 5 papers in Computational Theory and Mathematics. Recurrent topics in Michael D. Miller's work include Finite Group Theory Research (5 papers), Polynomial and algebraic computation (3 papers) and Analytical Chemistry and Chromatography (3 papers). Michael D. Miller is often cited by papers focused on Finite Group Theory Research (5 papers), Polynomial and algebraic computation (3 papers) and Analytical Chemistry and Chromatography (3 papers). Michael D. Miller collaborates with scholars based in United States, Australia and Canada. Michael D. Miller's co-authors include Dennis Underwood, Simon K. Kearsley, Robert P. Sheridan, Y. Ellinger, Noah Fahlgren, Malia Gehan, D. Talbi, F. Pauzat, J. Steen Hoyer and Steven T. Callen and has published in prestigious journals such as PLANT PHYSIOLOGY, The Journal of Physical Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Michael D. Miller

26 papers receiving 777 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael D. Miller United States 9 272 179 170 156 94 28 812
Martyn G. Ford United Kingdom 19 234 0.9× 349 1.9× 383 2.3× 170 1.1× 44 0.5× 61 1.1k
Satoru Murakami Japan 26 482 1.8× 816 4.6× 352 2.1× 61 0.4× 76 0.8× 131 2.8k
Eric Stahlberg United States 18 302 1.1× 546 3.1× 111 0.7× 43 0.3× 18 0.2× 35 1.0k
Ian Miller United States 18 63 0.2× 323 1.8× 50 0.3× 56 0.4× 89 0.9× 63 1.1k
Ion C. Băianu United States 21 258 0.9× 358 2.0× 85 0.5× 189 1.2× 6 0.1× 88 1.3k
Michał Startek Poland 11 79 0.3× 500 2.8× 416 2.4× 107 0.7× 36 0.4× 21 1.1k
Dmitry Nerukh United Kingdom 15 32 0.1× 239 1.3× 34 0.2× 70 0.4× 94 1.0× 78 623
O. Schedletzky Germany 10 54 0.2× 475 2.7× 33 0.2× 418 2.7× 31 0.3× 11 1.1k
Kaihsu Tai United Kingdom 17 60 0.2× 666 3.7× 249 1.5× 94 0.6× 10 0.1× 28 1.1k
Alexey K. Mazur France 23 83 0.3× 1.0k 5.8× 100 0.6× 149 1.0× 167 1.8× 63 1.4k

Countries citing papers authored by Michael D. Miller

Since Specialization
Citations

This map shows the geographic impact of Michael D. Miller'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. Miller 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. Miller more than expected).

Fields of papers citing papers by Michael D. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Miller. A scholar is included among the top collaborators of Michael D. Miller 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. Miller. Michael D. Miller 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
1.
Miller, Michael D., et al.. (2024). Genomic prediction for potato ( Solanum tuberosum ) quality traits improved through image analysis. The Plant Genome. 17(4). e20507–e20507. 1 indexed citations
2.
Miller, Michael D., et al.. (2022). TubAR: an R Package for Quantifying Tuber Shape and Skin Traits from Images. American Journal of Potato Research. 100(1). 52–62. 5 indexed citations
3.
Holmqvist, Kenneth, et al.. (2020). Validation of a prototype hybrid eye-tracker against the DPI and the Tobii Spectrum. 1–9. 4 indexed citations
4.
Tovar, José C., J. Steen Hoyer, Andy Lin, et al.. (2018). Raspberry Pi–powered imaging for plant phenotyping. Applications in Plant Sciences. 6(3). e1031–e1031. 71 indexed citations
5.
Marrus, Natasha, Andy C. Belden, Tomoyuki Nishino, et al.. (2015). Ventromedial prefrontal cortex thinning in preschool-onset depression. Journal of Affective Disorders. 180. 79–86. 30 indexed citations
6.
Lewis, Fraser, et al.. (2008). Genetic basis of variation in tenofovir drug susceptibility in HIV-1. AIDS. 22(10). 1113–1123. 7 indexed citations
7.
McDonough, John E., Michael D. Miller, & C. E. Barber. (2008). A Progress Report On State Health Access Reform. Health Affairs. 27(Suppl1). w105–w115. 6 indexed citations
8.
Berner, Eta S., et al.. (2000). The Impact of a Decision Support System on Physician Work-up Strategies.. Europe PMC (PubMed Central). 968–968. 1 indexed citations
9.
Miller, Michael D. & George W. Douglas. (1999). Status of the Lyall's Moriposa Lily, Calochortus lyallii (Liliaceae), in Canada. The Canadian Field-Naturalist. 113(4). 652–658. 4 indexed citations
10.
Miller, Michael D., et al.. (1998). <title>Multiple-model filters for boost-to-coast transition of theater ballistic missiles</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3373. 355–376. 8 indexed citations
11.
Sheridan, Robert P., Michael D. Miller, Dennis Underwood, & Simon K. Kearsley. (1996). Chemical Similarity Using Geometric Atom Pair Descriptors. Journal of Chemical Information and Computer Sciences. 36(1). 128–136. 135 indexed citations
12.
Pauzat, F., D. Talbi, Michael D. Miller, D. J. DeFrees, & Y. Ellinger. (1992). Theoretical IR spectra of ionized naphthalene. The Journal of Physical Chemistry. 96(20). 7882–7886. 85 indexed citations
13.
Spellmeyer, David C., Peter D. J. Grootenhuis, Michael D. Miller, Lee F. Kuyper, & Peter A. Kollman. (1990). Theoretical investigations of the rotational barrier in anisole: an ab initio and molecular dynamics study. The Journal of Physical Chemistry. 94(11). 4483–4491. 79 indexed citations
14.
Markgraf, J. Hodge, et al.. (1984). The Dehydration of Allylic and Bezylic Cycloalkanols by Molecular Sieves. Synthetic Communications. 14(7). 647–653. 3 indexed citations
15.
Guralnick, Robert M. & Michael D. Miller. (1980). Maximal subfields of algebraically closed fields. Journal of the Australian Mathematical Society. 29(4). 462–468.
16.
Miller, Michael D.. (1978). Existence of finite groups with classical commutator subgroup. Journal of the Australian Mathematical Society. 25(1). 41–44. 1 indexed citations
17.
Gordon, Basil, Robert M. Guralnick, & Michael D. Miller. (1978). On cyclic commutator subgroups. Aequationes Mathematicae. 17(1). 241–248. 5 indexed citations
18.
Miller, Michael D. & Robert M. Guralnick. (1977). Subfields of Algebraically Closed Fields. Mathematics Magazine. 50(5). 260–261. 1 indexed citations
19.
Miller, Michael D., et al.. (1977). On some sequencing problems in finite groups. Discrete Mathematics. 19(1). 77–84. 2 indexed citations
20.
Miller, Michael D.. (1976). On the nonexistence of groups with extra-special commutator subgroup. Proceedings of the American Mathematical Society. 56(1). 16–18.

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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