Michael D. Karcher

574 total citations · 1 hit paper
8 papers, 360 citations indexed

About

Michael D. Karcher is a scholar working on Genetics, Molecular Biology and Paleontology. According to data from OpenAlex, Michael D. Karcher has authored 8 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Paleontology. Recurrent topics in Michael D. Karcher's work include Genetic diversity and population structure (4 papers), Genomics and Phylogenetic Studies (3 papers) and Evolution and Genetic Dynamics (3 papers). Michael D. Karcher is often cited by papers focused on Genetic diversity and population structure (4 papers), Genomics and Phylogenetic Studies (3 papers) and Evolution and Genetic Dynamics (3 papers). Michael D. Karcher collaborates with scholars based in United States, United Kingdom and China. Michael D. Karcher's co-authors include Fabio Governato, Thomas Quinn, Lauren Anderson, Jillian Bellovary, Andrew Pontzen, Michael Tremmel, Marta Volonteri, Vladimir N. Minin, Julia A. Palacios and Shiwei Lan and has published in prestigious journals such as Bioinformatics, Monthly Notices of the Royal Astronomical Society and PLoS Computational Biology.

In The Last Decade

Michael D. Karcher

8 papers receiving 335 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Romulus cosmological simulations: a physical approach to the formation, dynamics and accretion models of SMBHs

2017 232 citations Michael Tremmel, Michael D. Karcher et al. Monthly Notices of the Royal Astronomical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael D. Karcher United States	6	249	89	57	55	32	8	360
B. Garćıa Argentina	12	311 1.2×	85 1.0×	10 0.2×	94 1.7×	11 0.3×	79	550
J. Olivares Spain	17	551 2.2×	158 1.8×	26 0.5×	13 0.2×	20 0.6×	42	791
A. Hempelmann Germany	17	458 1.8×	125 1.4×	10 0.2×	12 0.2×	77 2.4×	51	651
Matthew J. Temple United States	12	223 0.9×	67 0.8×	16 0.3×	42 0.8×	34 1.1×	25	371
C. Donzelli Argentina	11	400 1.6×	151 1.7×	11 0.2×	89 1.6×	24 0.8×	35	503
Sean Farrell United States	11	184 0.7×	10 0.1×	20 0.4×	63 1.1×	9 0.3×	41	366
M. A. Livshits Russia	14	581 2.3×	49 0.6×	22 0.4×	35 0.6×	125 3.9×	99	694
C. Lloyd United Kingdom	12	270 1.1×	75 0.8×	6 0.1×	55 1.0×	44 1.4×	67	416
Naomi Ota Japan	17	604 2.4×	155 1.7×	19 0.3×	140 2.5×	19 0.6×	48	648
Bálint Pataki Hungary	6	88 0.4×	16 0.2×	10 0.2×	19 0.3×	14 0.4×	9	247

Countries citing papers authored by Michael D. Karcher

Since Specialization

Citations

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

Fields of papers citing papers by Michael D. Karcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Karcher, Michael D., et al.. (2025). Finding high posterior density phylogenies by systematically extending a directed acyclic graph. Algorithms for Molecular Biology. 20(1). 2–2. 1 indexed citations

2.

Karcher, Michael D., et al.. (2024). Variational Supertrees for Bayesian Phylogenetics. Bulletin of Mathematical Biology. 86(9). 114–114. 1 indexed citations

3.

Karcher, Michael D., Luiz Max Carvalho, Marc A. Suchard, Gytis Dudas, & Vladimir N. Minin. (2020). Estimating effective population size changes from preferentially sampled genetic sequences. PLoS Computational Biology. 16(10). e1007774–e1007774. 12 indexed citations

4.

Tremmel, Michael, Michael D. Karcher, Fabio Governato, et al.. (2017). The Romulus cosmological simulations: a physical approach to the formation, dynamics and accretion models of SMBHs. Monthly Notices of the Royal Astronomical Society. 470(1). 1121–1139. 232 indexed citations breakdown →

5.

Anderson, Lauren, Fabio Governato, Michael D. Karcher, Thomas Quinn, & James Wadsley. (2017). The little Galaxies that could (reionize the universe): predicting faint end slopes & escape fractions at z>4. Monthly Notices of the Royal Astronomical Society. 468(4). 4077–4092. 29 indexed citations

6.

Karcher, Michael D., Julia A. Palacios, Shiwei Lan, & Vladimir N. Minin. (2016). phylodyn: an R package for phylodynamic simulation and inference. Molecular Ecology Resources. 17(1). 96–100. 31 indexed citations

7.

Karcher, Michael D., Julia A. Palacios, Trevor Bedford, Marc A. Suchard, & Vladimir N. Minin. (2016). Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference. PLoS Computational Biology. 12(3). e1004789–e1004789. 34 indexed citations

8.

Lan, Shiwei, Julia A. Palacios, Michael D. Karcher, Vladimir N. Minin, & Babak Shahbaba. (2015). An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics. Bioinformatics. 31(20). 3282–3289. 20 indexed citations

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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