Malcolm M. Dow

2.5k total citations · 1 hit paper
31 papers, 1.9k citations indexed

About

Malcolm M. Dow is a scholar working on Economics and Econometrics, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Malcolm M. Dow has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 11 papers in Sociology and Political Science and 8 papers in Social Psychology. Recurrent topics in Malcolm M. Dow's work include Spatial and Panel Data Analysis (11 papers), Primate Behavior and Ecology (7 papers) and Social and Cultural Dynamics (6 papers). Malcolm M. Dow is often cited by papers focused on Spatial and Panel Data Analysis (11 papers), Primate Behavior and Ecology (7 papers) and Social and Cultural Dynamics (6 papers). Malcolm M. Dow collaborates with scholars based in United States and Austria. Malcolm M. Dow's co-authors include James M. Cheverud, Walter Leutenegger, Michael L. Burton, Günter P. Wagner, Dougľas R. White, Karl Reitz, Jonathan S. Friedlaender, David B. Kronenfeld, Carmella C. Moore and A. Kimball Romney and has published in prestigious journals such as Evolution, American Journal of Physical Anthropology and American Anthropologist.

In The Last Decade

Malcolm M. Dow

31 papers receiving 1.7k citations

Hit Papers

THE QUANTITATIVE ASSESSMENT OF PHYLOGENETIC CONSTRAINTS I... 1985 2026 1998 2012 1985 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malcolm M. Dow United States 18 596 464 432 418 366 31 1.9k
Oliver R. W. Pergams United States 17 227 0.4× 306 0.7× 122 0.3× 559 1.3× 360 1.0× 22 1.5k
Steven Hecht Orzack United States 27 920 1.5× 976 2.1× 211 0.5× 703 1.7× 103 0.3× 46 2.7k
Peter Brown United Kingdom 27 661 1.1× 276 0.6× 523 1.2× 814 1.9× 416 1.1× 66 3.1k
Burt L. Monroe United States 21 790 1.3× 766 1.7× 360 0.8× 1.2k 2.9× 101 0.3× 53 3.7k
C. Barry Cox United Kingdom 14 466 0.8× 353 0.8× 691 1.6× 419 1.0× 59 0.2× 19 2.0k
Richard M. Burian United States 18 397 0.7× 577 1.2× 176 0.4× 192 0.5× 76 0.2× 56 1.9k
Mark Ridley United Kingdom 26 2.0k 3.4× 1.4k 3.0× 349 0.8× 933 2.2× 299 0.8× 67 3.9k
Robert H. Lande United States 15 348 0.6× 391 0.8× 161 0.4× 149 0.4× 49 0.1× 80 1.6k
Robert N. Brandon United States 23 330 0.6× 809 1.7× 141 0.3× 124 0.3× 122 0.3× 41 2.6k
Patrik Lindenfors Sweden 23 664 1.1× 330 0.7× 111 0.3× 544 1.3× 501 1.4× 55 1.8k

Countries citing papers authored by Malcolm M. Dow

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm M. Dow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm M. Dow

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm M. Dow. A scholar is included among the top collaborators of Malcolm M. Dow 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 Malcolm M. Dow. Malcolm M. Dow 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.
Dow, Malcolm M., et al.. (2013). When one wife is enough: A cross-cultural study of the determinants of monogamy.. 7(3). 211–238. 7 indexed citations
2.
Dow, Malcolm M., et al.. (2009). Cultural Trait Transmission and Missing Data as Sources of Bias in Cross-Cultural Survey Research. Cross-Cultural Research. 43(2). 134–151. 6 indexed citations
3.
Dow, Malcolm M., et al.. (2009). Multiple Imputation of Missing Data in Cross-Cultural Samples. Cross-Cultural Research. 43(3). 206–229. 18 indexed citations
4.
Dow, Malcolm M.. (2008). Network Autocorrelation Regression With Binary and Ordinal Dependent Variables. Cross-Cultural Research. 42(4). 394–419. 12 indexed citations
5.
Dow, Malcolm M.. (2007). Galton's Problem as Multiple Network Autocorrelation Effects. Cross-Cultural Research. 41(4). 336–363. 50 indexed citations
6.
Dow, Malcolm M., et al.. (2007). Global, Regional, and Local Network Autocorrelation in the Standard Cross-Cultural Sample. Cross-Cultural Research. 42(2). 148–171. 38 indexed citations
7.
Dow, Malcolm M.. (1999). Kinship, Networks, and Exchange. American Anthropologist. 101(3). 692–693. 13 indexed citations
8.
Burton, Michael L., Carmella C. Moore, A. Kimball Romney, et al.. (1996). Regions Based on Social Structure. Current Anthropology. 37(1). 87–123. 99 indexed citations
9.
Dow, Malcolm M.. (1993). Saving the Theory: On Chi-Square Tests With Cross-Cultural Survey Data. Cross-Cultural Research. 27(3-4). 247–276. 10 indexed citations
10.
Dow, Malcolm M. & Frans Β. Μ. de Waal. (1989). Assignment methods for the analysis of network subgroup interactions. Social Networks. 11(3). 237–255. 20 indexed citations
11.
Reitz, Karl & Malcolm M. Dow. (1989). Network interdependence of sample units in contingency tables. Journal of Mathematical Sociology. 14(1). 85–96. 9 indexed citations
12.
Cheverud, James M., Günter P. Wagner, & Malcolm M. Dow. (1989). Methods for the Comparative Analysis of Variation Patterns. Systematic Zoology. 38(3). 201–201. 258 indexed citations
13.
Cheverud, James M., Malcolm M. Dow, & Walter Leutenegger. (1986). A Phylogenetic Autocorrelation Analysis of Sexual Dimorphism in Primates. American Anthropologist. 88(4). 916–922. 17 indexed citations
14.
Dow, Malcolm M. & James M. Cheverud. (1985). Comparison of distance matrices in studies of population structure and genetic microdifferentiation: Quadratic assignment. American Journal of Physical Anthropology. 68(3). 367–373. 125 indexed citations
15.
Cheverud, James M., Malcolm M. Dow, & Walter Leutenegger. (1985). THE QUANTITATIVE ASSESSMENT OF PHYLOGENETIC CONSTRAINTS IN COMPARATIVE ANALYSES: SEXUAL DIMORPHISM IN BODY WEIGHT AMONG PRIMATES. Evolution. 39(6). 1335–1351. 546 indexed citations breakdown →
16.
Cheverud, James M. & Malcolm M. Dow. (1985). An autocorrelation analysis of genetic variation due to lineal fission in social groups of rhesus macaques. American Journal of Physical Anthropology. 67(2). 113–121. 79 indexed citations
17.
Dow, Malcolm M.. (1985). Nonparametric inference procedures for multistate life table analysis. Journal of Mathematical Sociology. 11(3). 245–263. 6 indexed citations
18.
Dow, Malcolm M.. (1984). A Biparametric Approach to Network Autocorrelation. Sociological Methods & Research. 13(2). 201–217. 29 indexed citations
19.
Dow, Malcolm M., Michael L. Burton, & Dougľas R. White. (1982). Network autocorrelation: A simulation study of a foundational problem in regression and survey research. Social Networks. 4(2). 169–200. 71 indexed citations
20.
White, Dougľas R., Michael L. Burton, & Malcolm M. Dow. (1981). Sexual Division of Labor in African Agriculture: A Network Autocorrelation Analysis. American Anthropologist. 83(4). 824–849. 81 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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