M. F. Mickevich

2.1k total citations · 1 hit paper
22 papers, 1.8k citations indexed

About

M. F. Mickevich is a scholar working on Genetics, Paleontology and Molecular Biology. According to data from OpenAlex, M. F. Mickevich has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Paleontology and 4 papers in Molecular Biology. Recurrent topics in M. F. Mickevich's work include Genetic diversity and population structure (11 papers), Evolution and Paleontology Studies (6 papers) and Amphibian and Reptile Biology (3 papers). M. F. Mickevich is often cited by papers focused on Genetic diversity and population structure (11 papers), Evolution and Paleontology Studies (6 papers) and Amphibian and Reptile Biology (3 papers). M. F. Mickevich collaborates with scholars based in United States. M. F. Mickevich's co-authors include James S. Farris, Michael S. Johnson, Arnold G. Kluge, Susan J. Weller, Michael G. Pogue, Diana Lipscomb, Lynne R. Parenti, Norman I. Platnick and Joseph G. Strauch and has published in prestigious journals such as Evolution, Systematic Biology and Cladistics.

In The Last Decade

M. F. Mickevich

22 papers receiving 1.6k citations

Hit Papers

The Implications of Congruence in Menidia 1981 2026 1996 2011 1981 100 200 300 400 500
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.

  1. The Implications of Congruence in Menidia
    1981 523 citations M. F. Mickevich, James S. Farris Systematic Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. F. Mickevich United States 17 785 659 548 483 330 22 1.8k
Larry E. Watrous United States 7 810 1.0× 508 0.8× 348 0.6× 504 1.0× 404 1.2× 16 1.7k
Suh Y. Yang United States 22 579 0.7× 1.2k 1.8× 375 0.7× 211 0.4× 703 2.1× 30 2.1k
W D Sumlin United States 4 767 1.0× 802 1.2× 555 1.0× 218 0.5× 912 2.8× 8 2.2k
Diana Lipscomb United States 18 1.2k 1.5× 585 0.9× 1.0k 1.9× 705 1.5× 721 2.2× 37 2.8k
James C. Wilgenbusch United States 8 713 0.9× 599 0.9× 672 1.2× 296 0.6× 379 1.1× 15 2.1k
Jorge V. Crisci Argentina 27 1.2k 1.5× 281 0.4× 429 0.8× 725 1.5× 261 0.8× 92 2.3k
Frank E. Anderson United States 22 791 1.0× 300 0.5× 611 1.1× 301 0.6× 502 1.5× 47 1.6k
Daniel Barker United Kingdom 16 783 1.0× 587 0.9× 803 1.5× 264 0.5× 536 1.6× 45 2.3k
Martyn Kennedy New Zealand 25 622 0.8× 560 0.8× 234 0.4× 319 0.7× 839 2.5× 63 1.8k
Heike Hadrys Germany 23 826 1.1× 1.1k 1.7× 1.0k 1.9× 406 0.8× 918 2.8× 53 2.8k

Countries citing papers authored by M. F. Mickevich

Since Specialization
Citations

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

Fields of papers citing papers by M. F. Mickevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. F. Mickevich. 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 M. F. Mickevich. The network helps show where M. F. Mickevich may publish in the future.

Co-authorship network of co-authors of M. F. Mickevich

This figure shows the co-authorship network connecting the top 25 collaborators of M. F. Mickevich. A scholar is included among the top collaborators of M. F. Mickevich 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 M. F. Mickevich. M. F. Mickevich 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.
Mickevich, M. F.. (1999). Scientific Aspects of Biodiversity Databasing. American Entomologist. 45(4). 228–234. 3 indexed citations
2.
Mickevich, M. F. & Diana Lipscomb. (1991). PARSIMONY AND THE CHOICE BETWEEN DIFFERENT TRANSFORMATIONS FOR THE SAME CHARACTER SET. Cladistics. 7(2). 111–139. 36 indexed citations
3.
Mickevich, M. F. & Susan J. Weller. (1990). EVOLUTIONARY CHARACTER ANALYSIS: TRACING CHARACTER CHANGE ON A CLADOGRAM. Cladistics. 6(2). 137–170. 93 indexed citations
4.
Pogue, Michael G. & M. F. Mickevich. (1990). CHARACTER DEFINITIONS AND CHARACTER STATE DELINEATION: THE BETE NOIRE OF PHYLOGENETIC INFERENCE. Cladistics. 6(4). 319–361. 93 indexed citations
5.
Farris, James S., Arnold G. Kluge, & M. F. Mickevich. (1982). Immunological Distance and the Phylogenetic Relationships of the Rana boylii Species Group. Systematic Zoology. 31(4). 479–479. 22 indexed citations
6.
Farris, James S., Arnold G. Kluge, & M. F. Mickevich. (1982). Phylogenetic Analysis, the Monothetic Group Method, and Myobatrachid Frogs. Systematic Biology. 31(3). 317–327. 28 indexed citations
7.
Farris, James S., Arnold G. Kluge, & M. F. Mickevich. (1982). Immunological Distance and the Phylogenetic Relationships of the Rana Boylii Species Group. Systematic Biology. 31(4). 479–491. 29 indexed citations
8.
Farris, James S., Arnold G. Kluge, & M. F. Mickevich. (1982). Phylogenetic Analysis, The Monothetic Group Method, and Myobatrachid Frogs. Systematic Zoology. 31(3). 317–317. 17 indexed citations
9.
Mickevich, M. F. & James S. Farris. (1981). The Implications of Congruence in Menidia. Systematic Biology. 30(3). 351–370. 523 indexed citations breakdown →
10.
Mickevich, M. F. & James S. Farris. (1981). The Implications of Congruence in Menidia. Systematic Zoology. 30(3). 351–351. 368 indexed citations
11.
Mickevich, M. F., Lynne R. Parenti, & Joseph G. Strauch. (1980). The Phylogeny of the Charadriiformes (Aves): A New Estimate Using the Method of Character Compatibility Analysis.. Systematic Zoology. 29(1). 108–108. 41 indexed citations
12.
Mickevich, M. F.. (1980). Taxonomic Congruence: Rohlf and Sokal's Misunderstanding. Systematic Biology. 29(2). 162–176. 28 indexed citations
13.
Mickevich, M. F. & Lynne R. Parenti. (1980). Reviews. Systematic Biology. 29(1). 108–113. 4 indexed citations
14.
Mickevich, M. F.. (1980). Taxonomic Congruence: Rohlf and Sokal's Misunderstanding. Systematic Zoology. 29(2). 162–162. 17 indexed citations
15.
Farris, James S., Arnold G. Kluge, & M. F. Mickevich. (1979). Paraphyly of the Rana boylii Species Group. Systematic Zoology. 28(4). 627–627. 18 indexed citations
16.
Farris, James S., Arnold G. Kluge, & M. F. Mickevich. (1979). Paraphyly of the Rana boylii Species Group. Systematic Biology. 28(4). 627–634. 34 indexed citations
17.
Mickevich, M. F.. (1978). Comments on the Recognition of Convergence and Parallelism on Wagner Trees. Systematic Zoology. 27(2). 239–239. 1 indexed citations
18.
Johnson, Michael S. & M. F. Mickevich. (1977). VARIABILITY AND EVOLUTIONARY RATES OF CHARACTERS. Evolution. 31(3). 642–648. 16 indexed citations
19.
Johnson, Michael S. & M. F. Mickevich. (1977). Variability and Evolutionary Rates of Characters. Evolution. 31(3). 642–642. 6 indexed citations
20.
Mickevich, M. F. & Michael S. Johnson. (1976). Congruence Between Morphological and Allozyme Data in Evolutionary Inference and Character Evolution. Systematic Zoology. 25(3). 260–260. 237 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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