Robert McCaa

1.3k total citations
71 papers, 641 citations indexed

About

Robert McCaa is a scholar working on Sociology and Political Science, Demography and Management Science and Operations Research. According to data from OpenAlex, Robert McCaa has authored 71 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Sociology and Political Science, 17 papers in Demography and 10 papers in Management Science and Operations Research. Recurrent topics in Robert McCaa's work include demographic modeling and climate adaptation (9 papers), Income, Poverty, and Inequality (9 papers) and Gender, Labor, and Family Dynamics (8 papers). Robert McCaa is often cited by papers focused on demographic modeling and climate adaptation (9 papers), Income, Poverty, and Inequality (9 papers) and Gender, Labor, and Family Dynamics (8 papers). Robert McCaa collaborates with scholars based in United States, Spain and France. Robert McCaa's co-authors include Steven Ruggles, Gunnar Thorvaldsen, Albert Esteve, Matthew Sobek, Michel Garenne, Stuart B. Schwartz, Joan García Román, Miriam King, Deborah Levison and Arnold J. Bauer and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The American Historical Review.

In The Last Decade

Robert McCaa

65 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert McCaa United States 15 255 206 105 88 79 71 641
Harry E. Cross United States 11 143 0.6× 73 0.4× 37 0.4× 47 0.5× 71 0.9× 26 451
Maria G. Cattell United States 12 204 0.8× 51 0.2× 33 0.3× 91 1.0× 25 0.3× 24 406
Andrés Villarreal United States 17 608 2.4× 78 0.4× 123 1.2× 15 0.2× 122 1.5× 35 888
Ralph Shlomowitz Australia 13 244 1.0× 93 0.5× 19 0.2× 123 1.4× 158 2.0× 67 514
T. H. Hollingsworth United Kingdom 15 221 0.9× 174 0.8× 142 1.4× 40 0.5× 346 4.4× 43 861
Rita S. Gallin United States 10 326 1.3× 52 0.3× 95 0.9× 69 0.8× 55 0.7× 25 581
Harriot Beazley Australia 13 453 1.8× 64 0.3× 34 0.3× 12 0.1× 20 0.3× 35 664
Anthony S. Wohl United States 13 184 0.7× 23 0.1× 28 0.3× 25 0.3× 183 2.3× 35 664
Mark Schuller United States 14 362 1.4× 60 0.3× 16 0.2× 63 0.7× 29 0.4× 36 591
E. Grebenik United Kingdom 14 232 0.9× 201 1.0× 153 1.5× 14 0.2× 196 2.5× 59 780

Countries citing papers authored by Robert McCaa

Since Specialization
Citations

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

Fields of papers citing papers by Robert McCaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert McCaa

This figure shows the co-authorship network connecting the top 25 collaborators of Robert McCaa. A scholar is included among the top collaborators of Robert McCaa 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 Robert McCaa. Robert McCaa 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.
Permanyer, Iñaki, Albert Esteve, Joan García Román, & Robert McCaa. (2014). Human Development Index-like Small Area Estimates for Africa Computed from IPUMS-International Integrated Census Microdata. Journal of Human Development and Capabilities. 16(2). 245–271. 12 indexed citations
2.
McCaa, Robert. (2012). The Big Data Revolution: IPUMS-International. Trans-Border Access to Decades of Census Microdata Samples for Three-Fourths of the Word and more. Dialnet (Universidad de la Rioja). 30(1). 69–88. 2 indexed citations
3.
Esteve, Albert, et al.. (2012). The Educational Homogamy Gap Between Married and Cohabiting Couples in Latin America. Population Research and Policy Review. 32(1). 81–102. 18 indexed citations
4.
Esteve, Albert, Joan García Román, & Robert McCaa. (2010). La enumeración de la soltería femenina en los censos de población: sesgo y propuesta de corrección. SHILAP Revista de lepidopterología. 16(66). 9–40. 7 indexed citations
5.
McCaa, Robert, et al.. (2010). IPUMS-International Statistical Disclosure Controls: 159 Census Microdata Samples in Dissemination, 100+ in Preparation. Lecture notes in computer science. 6344. 74–84. 3 indexed citations
6.
Garenne, Michel, et al.. (2010). Maternal mortality in South Africa: an update from the 2007 Community Survey. Journal of Population Research. 28(1). 89–101. 15 indexed citations
7.
McCaa, Robert, et al.. (2008). Assortative Mating Patterns in the Developing World. 6 indexed citations
8.
Garenne, Michel, et al.. (2008). Maternal mortality in South Africa in 2001: From demographic census to epidemiological investigation. Population Health Metrics. 6(1). 4–4. 27 indexed citations
9.
McCaa, Robert, Steven Ruggles, Michael Davern, Tami Swenson, & Krishna Palipudi. (2006). IPUMS-International High Precision Population Census Microdata Samples: Balancing the Privacy-Quality Tradeoff by Means of Restricted Access Extracts. Lecture notes in computer science. 4302. 375–382. 9 indexed citations
10.
McCaa, Robert, et al.. (2005). Homogamia educacional en México, y Brasil, 1970-2000: pautas y tendencias.. 1. 2 indexed citations
11.
McCaa, Robert. (2003). The Nahua calli of ancient Mexico: household, family, and gender. Continuity and Change. 18(1). 23–48. 7 indexed citations
12.
McCaa, Robert & Steven Ruggles. (2002). The Census in Global Perspective and the Coming Microdata Revolution. Poultry Science. 13(8). 7–30. 13 indexed citations
13.
Gutmann, Myron P., et al.. (2000). Los efectos demográficos de la revolución mexicana en Estados Unidos. Historia Mexicana. 50(1). 145–165. 5 indexed citations
14.
Gratton, Brian, et al.. (2000). The Demographic Impact of the Mexican Revolution in the United States. 3 indexed citations
15.
McCaa, Robert. (1999). ¿Fue el siglo XVI una catástrofe demográfica para México? Una respuesta basada en la demografía histórica no cuantitativa. SHILAP Revista de lepidopterología. 4 indexed citations
16.
McCaa, Robert. (1998). Inoculation, an easy means of protecting people or propagating smallpox?. 1(2). 4–11. 1 indexed citations
17.
McCaa, Robert. (1996). Matrimonio infantil, cemithualtin (familias complejas) y el antiguo pueblo nahua. SHILAP Revista de lepidopterología. 7 indexed citations
18.
McCaa, Robert. (1994). Marriageways in Mexico and Spain, 1500–1900. Continuity and Change. 9(1). 11–43. 18 indexed citations
19.
McCaa, Robert. (1991). Gustos de los padres, inclinaciones de los novios y reglas de una feria nupcial colonial : Parral, 1770-1814. Historia Mexicana. 40(160). 579–614. 9 indexed citations
20.
McCaa, Robert. (1978). The demographic transition in Chile : the population history of Petorca valley, 1840-1976. University Microfilms International eBooks. 1 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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