Stanley K. Smith

2.3k total citations
54 papers, 1.5k citations indexed

About

Stanley K. Smith is a scholar working on Demography, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Stanley K. Smith has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Demography, 24 papers in Management Science and Operations Research and 18 papers in Sociology and Political Science. Recurrent topics in Stanley K. Smith's work include demographic modeling and climate adaptation (24 papers), Insurance, Mortality, Demography, Risk Management (24 papers) and Urban, Neighborhood, and Segregation Studies (14 papers). Stanley K. Smith is often cited by papers focused on demographic modeling and climate adaptation (24 papers), Insurance, Mortality, Demography, Risk Management (24 papers) and Urban, Neighborhood, and Segregation Studies (14 papers). Stanley K. Smith collaborates with scholars based in United States. Stanley K. Smith's co-authors include Christopher McCarty, Jeff Tayman, Terry Sincich, Stefan Rayer, David A. Swanson, Mohammed Shahidullah, June Marie Nogle, Jeffrey Lin, Yi Zeng and Zhenglian Wang and has published in prestigious journals such as Journal of the American Statistical Association, Demography and International Journal of Forecasting.

In The Last Decade

Stanley K. Smith

52 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanley K. Smith United States 24 623 532 422 331 305 54 1.5k
Jeff Tayman United States 18 385 0.6× 374 0.7× 128 0.3× 197 0.6× 168 0.6× 38 856
Robin Flowerdew United Kingdom 24 217 0.3× 130 0.2× 654 1.5× 207 0.6× 580 1.9× 58 1.9k
Anne Goujon Austria 20 455 0.7× 81 0.2× 660 1.6× 288 0.9× 332 1.1× 91 1.7k
Guy Abel Austria 18 330 0.5× 94 0.2× 940 2.2× 166 0.5× 230 0.8× 64 1.6k
Paul R. Voss United States 19 197 0.3× 96 0.2× 492 1.2× 121 0.4× 517 1.7× 39 1.5k
Mitchel Langford United Kingdom 20 172 0.3× 83 0.2× 153 0.4× 127 0.4× 290 1.0× 38 1.7k
Carl P. Schmertmann United States 17 347 0.6× 116 0.2× 160 0.4× 230 0.7× 180 0.6× 47 988
Per‐Olov Johansson Sweden 27 73 0.1× 83 0.2× 142 0.3× 351 1.1× 2.1k 6.8× 95 2.7k
Elin Charles‐Edwards Australia 19 424 0.7× 37 0.1× 863 2.0× 142 0.4× 271 0.9× 61 1.5k
Paul A. Raschky Australia 19 171 0.3× 38 0.1× 1.0k 2.4× 91 0.3× 750 2.5× 56 2.3k

Countries citing papers authored by Stanley K. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Stanley K. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanley K. Smith. 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 Stanley K. Smith. The network helps show where Stanley K. Smith may publish in the future.

Co-authorship network of co-authors of Stanley K. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Stanley K. Smith. A scholar is included among the top collaborators of Stanley K. Smith 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 Stanley K. Smith. Stanley K. Smith 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.
Haynes, Sarah C., et al.. (2021). The Use of Telemedicine for Stabilization of Neonates Transferred from Rural Community Hospitals. Telemedicine Journal and e-Health. 27(12). 1393–1398. 6 indexed citations
2.
Smith, Stanley K., Jeff Tayman, & David A. Swanson. (2013). A Practitioner's Guide to State and Local Population Projections. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 66 indexed citations
3.
Smith, Stanley K. & Christopher McCarty. (2009). Fleeing the storm(s): an examination of evacuation behavior during florida’s 2004 hurricane season. Demography. 46(1). 127–145. 151 indexed citations
4.
Smith, Stanley K., et al.. (2008). Aging and Disability: Implications for the Housing Industry and Housing Policy in the United States. Journal of the American Planning Association. 74(3). 289–306. 81 indexed citations
5.
Smith, Stanley K., et al.. (2002). A regression approach to estimating the average number of persons per household. Demography. 39(4). 697–712. 37 indexed citations
6.
Smith, Stanley K.. (1997). Further thoughts on simplicity and complexity in population projection models. International Journal of Forecasting. 13(4). 557–565. 29 indexed citations
7.
Smith, Stanley K. & June Marie Nogle. (1997). An experimental methodology for estimating Hispanic residents for states and counties. Journal of Economic and Social Measurement. 23(4). 263–275. 8 indexed citations
8.
Smith, Stanley K.. (1996). Demography of disaster: Population estimates after hurricane Andrew. Population Research and Policy Review. 15(5-6). 459–477. 30 indexed citations
9.
Smith, Stanley K. & Christopher McCarty. (1996). Demographic effects of natural disasters: a case study of hurricane andrew. Demography. 33(2). 265–275. 110 indexed citations
10.
Smith, Stanley K.. (1993). Expert testimony in adversarial legal proceedings. Population Research and Policy Review. 12(1). 43–52. 1 indexed citations
11.
Smith, Stanley K. & Terry Sincich. (1990). The Relationship Between the Length of the Base Period and Population Forecast Errors. Journal of the American Statistical Association. 85(410). 367–367. 9 indexed citations
12.
Smith, Stanley K.. (1989). Toward a Methodology for Estimating Temporary Residents. Journal of the American Statistical Association. 84(406). 430–436. 34 indexed citations
13.
Smith, Stanley K. & Terry Sincich. (1988). Stability over time in the distribution of population forecast errors. Demography. 25(3). 461–474. 52 indexed citations
14.
Smith, Stanley K.. (1987). Tests of Forecast Accuracy and Bias for County Population Projections. Journal of the American Statistical Association. 82(400). 991–1003. 77 indexed citations
15.
Smith, Stanley K.. (1986). A Review and Evaluation of the Housing Unit Method of Population Estimation. Journal of the American Statistical Association. 81(394). 287–296. 21 indexed citations
16.
Smith, Stanley K., et al.. (1984). A Comparison of Population Estimation Methods: Housing Unit Versus Component II, Ratio Correlation, and Administrative Records. Journal of the American Statistical Association. 79(386). 282–282. 6 indexed citations
17.
Smith, Stanley K., et al.. (1983). Some New Techniques for Applying the Housing Unit Method of Local Population Estimation: Further Evidence. Demography. 20(3). 407–413. 14 indexed citations
18.
Smith, Stanley K.. (1981). Determinants of Female Labor Force Participation and Family Size in Mexico City. Economic Development and Cultural Change. 30(1). 129–152. 14 indexed citations
19.
Smith, Stanley K., et al.. (1980). Some New Techniques for Applying the Housing Unit Method of Local Population Estimation. Demography. 17(3). 323–339. 30 indexed citations
20.
Smith, Stanley K.. (1976). Women's Work and Fertility in Mexico City.. Deep Blue (University of Michigan). 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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