Jeff Tayman

1.6k total citations
38 papers, 856 citations indexed

About

Jeff Tayman is a scholar working on Management Science and Operations Research, Demography and Economics and Econometrics. According to data from OpenAlex, Jeff Tayman has authored 38 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 20 papers in Demography and 12 papers in Economics and Econometrics. Recurrent topics in Jeff Tayman's work include demographic modeling and climate adaptation (20 papers), Insurance, Mortality, Demography, Risk Management (19 papers) and Global Health Care Issues (8 papers). Jeff Tayman is often cited by papers focused on demographic modeling and climate adaptation (20 papers), Insurance, Mortality, Demography, Risk Management (19 papers) and Global Health Care Issues (8 papers). Jeff Tayman collaborates with scholars based in United States. Jeff Tayman's co-authors include David A. Swanson, Stanley K. Smith, David Swanson, Edward H. Schafer, Stefan Rayer, David F. Sly, Lawrence Carter, Jack W. Baker, Charles F. Barr and Jeffrey Lin and has published in prestigious journals such as American Sociological Review, Demography and Journal of the American Planning Association.

In The Last Decade

Jeff Tayman

38 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Tayman United States 18 385 374 197 168 128 38 856
Stanley K. Smith United States 24 623 1.6× 532 1.4× 331 1.7× 305 1.8× 422 3.3× 54 1.5k
David M. Zimmer United States 12 83 0.2× 100 0.3× 138 0.7× 428 2.5× 78 0.6× 58 951
Catalina Bolancé Spain 16 150 0.4× 302 0.8× 54 0.3× 260 1.5× 27 0.2× 67 872
Nicholas N. Nagle United States 15 47 0.1× 77 0.2× 109 0.6× 146 0.9× 278 2.2× 39 879
Mitchel Langford United Kingdom 20 172 0.4× 83 0.2× 127 0.6× 290 1.7× 153 1.2× 38 1.7k
Yue Qiu China 10 82 0.2× 60 0.2× 171 0.9× 62 0.4× 178 1.4× 29 639
Nikos Tzavidis United Kingdom 21 42 0.1× 278 0.7× 70 0.4× 394 2.3× 288 2.3× 66 1.2k
Monica Pratesi Italy 19 21 0.1× 208 0.6× 33 0.2× 358 2.1× 179 1.4× 69 982
Eleftherıos Gıovanıs Türkiye 14 30 0.1× 37 0.1× 94 0.5× 222 1.3× 185 1.4× 112 629
Matteo Mazziotta Italy 13 19 0.0× 107 0.3× 46 0.2× 306 1.8× 253 2.0× 30 844

Countries citing papers authored by Jeff Tayman

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Tayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Tayman

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Tayman. A scholar is included among the top collaborators of Jeff Tayman 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 Jeff Tayman. Jeff Tayman 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.
Baker, Jack W., David A. Swanson, & Jeff Tayman. (2023). Boosted Regression Trees for Small-Area Population Forecasting. Population Research and Policy Review. 42(4). 4 indexed citations
2.
Baker, Jack W., David A. Swanson, & Jeff Tayman. (2020). The Accuracy of Hamilton–Perry Population Projections for Census Tracts in the United States. Population Research and Policy Review. 40(6). 1341–1354. 12 indexed citations
3.
Tayman, Jeff, et al.. (2018). A Note on Rescaling the Arithmetic Mean for Right-skewed Positive Distributions. Review of Economics and Finance. 14. 17–24. 1 indexed citations
4.
Tayman, Jeff & David A. Swanson. (2017). Using modified cohort change and child-woman ratios in the Hamilton–Perry forecasting method. Journal of Population Research. 34(3). 209–231. 7 indexed citations
5.
Baker, Jack W., David A. Swanson, Jeff Tayman, & Lucky M. Tedrow. (2017). Cohort Change Ratios and their Applications. 18 indexed citations
6.
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
7.
Swanson, David & Jeff Tayman. (2012). Subnational Population Estimates. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 57 indexed citations
8.
Swanson, David A. & Jeff Tayman. (2011). On Estimating a De Facto Population and Its Components. Review of Economics and Finance. 7. 17–31. 7 indexed citations
9.
Swanson, David A., et al.. (2011). MAPE-R: a rescaled measure of accuracy for cross-sectional subnational population forecasts. Journal of Population Research. 28(2-3). 225–243. 99 indexed citations
10.
Tayman, Jeff. (2011). Assessing Uncertainty in Small Area Forecasts: State of the Practice and Implementation Strategy. Population Research and Policy Review. 30(5). 781–800. 23 indexed citations
11.
Rayer, Stefan, Stanley K. Smith, & Jeff Tayman. (2009). Empirical Prediction Intervals for County Population Forecasts. Population Research and Policy Review. 28(6). 773–793. 24 indexed citations
12.
Smith, Stanley K. & Jeff Tayman. (2006). Prediction Intervals for County Population Forecasts. 2 indexed citations
13.
Tayman, Jeff. (1996). The Accuracy of Small-Area Population Forecasts Based On A Spatial Interaction Land-Use Modeling System. Journal of the American Planning Association. 62(1). 85–98. 33 indexed citations
14.
Swanson, David A. & Jeff Tayman. (1995). Between a rock and a hard place: The evaluation of demographic forecasts. Population Research and Policy Review. 14(2). 233–249. 22 indexed citations
15.
Swanson, David A., et al.. (1995). On the Utility of Lagged Ratio-Correlation as a Short-Term County Population Projection Method: A Case Study of Washington State. Journal of Economic and Social Measurement. 21(1). 1–16. 3 indexed citations
16.
Tayman, Jeff. (1994). Small area demographic forecasts.. PubMed. 9(1). 2–4. 13 indexed citations
17.
Tayman, Jeff & Susan Pennell. (1992). Toward a Causal Model of Drug Use. Crime & Delinquency. 38(4). 583–601. 2 indexed citations
18.
Pennell, Susan, et al.. (1989). Guardian Angels: A Unique Approach to Crime Prevention. Crime & Delinquency. 35(3). 378–400. 22 indexed citations
19.
Tayman, Jeff & Edward H. Schafer. (1985). The Impact of Coefficient Drift and Measurement Error on the Accuracy of Ratio-Correlation Population Estimates. Review of Regional Studies. 15(2). 5 indexed citations
20.
Sly, David F. & Jeff Tayman. (1977). Ecological Approach to Migration Reexamined. American Sociological Review. 42(5). 783–783. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stanley K. Smith Breakdown of academic impact, for papers by David M. Zimmer Breakdown of academic impact, for papers by Catalina Bolancé Breakdown of academic impact, for papers by Nicholas N. Nagle Breakdown of academic impact, for papers by Mitchel Langford Breakdown of academic impact, for papers by Yue Qiu Breakdown of academic impact, for papers by Nikos Tzavidis Breakdown of academic impact, for papers by Monica Pratesi Breakdown of academic impact, for papers by Eleftherıos Gıovanıs Breakdown of academic impact, for papers by Matteo Mazziotta
Rankless by CCL
2026