Lawrence R. Carter

1.2k total citations · 1 hit paper
9 papers, 789 citations indexed

About

Lawrence R. Carter is a scholar working on Demography, General Health Professions and Management Science and Operations Research. According to data from OpenAlex, Lawrence R. Carter has authored 9 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Demography, 6 papers in General Health Professions and 4 papers in Management Science and Operations Research. Recurrent topics in Lawrence R. Carter's work include Insurance, Mortality, Demography, Risk Management (8 papers), Global Health Care Issues (6 papers) and demographic modeling and climate adaptation (4 papers). Lawrence R. Carter is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (8 papers), Global Health Care Issues (6 papers) and demographic modeling and climate adaptation (4 papers). Lawrence R. Carter collaborates with scholars based in United States. Lawrence R. Carter's co-authors include Ronald Lee and has published in prestigious journals such as Journal of the American Statistical Association, International Journal of Forecasting and Sociological Quarterly.

In The Last Decade

Lawrence R. Carter

9 papers receiving 735 citations

Hit Papers

Modeling and Forecasting ... 1992 2026 2003 2014 1992 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
Lawrence R. Carter United States 5 684 600 197 187 179 9 789
Natacha Brouhns Australia 6 794 1.2× 682 1.1× 193 1.0× 277 1.5× 237 1.3× 9 859
Marwa Khalaf-Allah United Kingdom 11 972 1.4× 890 1.5× 312 1.6× 206 1.1× 239 1.3× 12 993
Johnny Siu‐Hang Li Canada 18 838 1.2× 697 1.2× 184 0.9× 175 0.9× 412 2.3× 56 961
Stephen J. Richards United Kingdom 13 393 0.6× 370 0.6× 114 0.6× 100 0.5× 115 0.6× 30 470
Ermanno Pitacco Italy 16 843 1.2× 605 1.0× 94 0.5× 247 1.3× 364 2.0× 49 947
Andrés M. Villegas Australia 10 392 0.6× 360 0.6× 132 0.7× 89 0.5× 88 0.5× 31 440
Annamaria Olivieri Italy 13 721 1.1× 496 0.8× 67 0.3× 200 1.1× 334 1.9× 37 793
Larry Heligman 3 336 0.5× 286 0.5× 131 0.7× 82 0.4× 46 0.3× 7 410
Samuel H. Cox United States 16 819 1.2× 454 0.8× 50 0.3× 255 1.4× 694 3.9× 43 1.1k
Pierre Devolder Belgium 12 557 0.8× 339 0.6× 28 0.1× 122 0.7× 306 1.7× 73 655

Countries citing papers authored by Lawrence R. Carter

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence R. Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence R. Carter. 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 Lawrence R. Carter. The network helps show where Lawrence R. Carter may publish in the future.

Co-authorship network of co-authors of Lawrence R. Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence R. Carter. A scholar is included among the top collaborators of Lawrence R. Carter 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 Lawrence R. Carter. Lawrence R. Carter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Carter, Lawrence R.. (2000). Imparting structural instability to mortality forecasts: Testing for sensitive dependence on initial conditions with innovations. Mathematical Population Studies. 8(1). 31–54. 1 indexed citations
2.
Carter, Lawrence R.. (1998). Combining probabilistic and subjective assessments of error to provide realistic appraisals of demographic forecast uncertainty: Alho's approach. International Journal of Forecasting. 14(4). 523–526. 2 indexed citations
3.
Carter, Lawrence R.. (1996). Forecasting U.S. Mortality: A Comparison of Box-Jenkins ARIMA and Structural Time Series Models. Sociological Quarterly. 37(1). 127–144. 12 indexed citations
4.
Carter, Lawrence R.. (1995). FORECASTING U.S. MORTALITY:. A Comparison of Box-Jenkins ARIMA and Structural Time Series Models. Sociological Quarterly. 37(1). 127–144. 1 indexed citations
5.
Lee, Ronald & Lawrence R. Carter. (1992). Modeling and Forecasting U. S. Mortality. Journal of the American Statistical Association. 87(419). 659–659. 578 indexed citations breakdown →
6.
Carter, Lawrence R. & Ronald Lee. (1992). Modeling and forecasting US sex differentials in mortality. International Journal of Forecasting. 8(3). 393–411. 151 indexed citations
7.
Carter, Lawrence R. & Ronald Lee. (1986). Joint Forecasts of U.S. Marital Fertility, Nuptiality, Births, and Marriages Using Time Series Models. Journal of the American Statistical Association. 81(396). 902–911. 30 indexed citations
8.
Carter, Lawrence R. & Ronald Lee. (1986). Joint Forecasts of U.S. Marital Fertility, Nuptiality, Births, and Marriages Using Time Series Models. Journal of the American Statistical Association. 81(396). 902–902. 13 indexed citations
9.
Carter, Lawrence R.. (1978). Legal and Contractual Areas of Subsurface Investigations for Pipelines. Transportation Engineering Journal of ASCE. 104(3). 379–383. 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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