J. H. Pollard

3.7k total citations · 1 hit paper
62 papers, 2.4k citations indexed

About

J. H. Pollard is a scholar working on Demography, General Health Professions and Management Science and Operations Research. According to data from OpenAlex, J. H. Pollard has authored 62 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Demography, 13 papers in General Health Professions and 10 papers in Management Science and Operations Research. Recurrent topics in J. H. Pollard's work include Insurance, Mortality, Demography, Risk Management (18 papers), Global Health Care Issues (10 papers) and Health disparities and outcomes (6 papers). J. H. Pollard is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (18 papers), Global Health Care Issues (10 papers) and Health disparities and outcomes (6 papers). J. H. Pollard collaborates with scholars based in Australia, United Kingdom and United States. J. H. Pollard's co-authors include Larry Heligman, Alan G. Hawkes, J. Gani, R. D. Stern, Ryan Schofield, David Reher, Alain Bideau, Jonathan L. Dunnum, Tanya M. Shenk and Eric A. Rexstad and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Biometrics.

In The Last Decade

J. H. Pollard

59 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The age pattern of mortality

1980 370 citations J. H. Pollard et al. Journal of the Institute of Actuaries profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. H. Pollard Australia	20	771	698	386	300	230	62	2.4k
Chin Long Chiang United States	19	574 0.7×	728 1.0×	548 1.4×	62 0.2×	158 0.7×	44	2.9k
Kenneth W. Wachter United States	28	547 0.7×	392 0.6×	281 0.7×	101 0.3×	231 1.0×	103	4.7k
Germán Rodrı́guez Spain	30	363 0.5×	612 0.9×	565 1.5×	96 0.3×	99 0.4×	93	3.5k
Bernard Greenberg United States	46	129 0.2×	529 0.8×	115 0.3×	691 2.3×	168 0.7×	195	8.0k
Leonid A. Gavrilov United States	26	939 1.2×	654 0.9×	542 1.4×	77 0.3×	66 0.3×	87	2.9k
P. A. Lachenbruch United States	10	48 0.1×	390 0.6×	143 0.4×	226 0.8×	176 0.8×	15	4.0k
Maŕıa Durbán Spain	21	396 0.5×	377 0.5×	220 0.6×	25 0.1×	179 0.8×	55	1.7k
H. Dennis Tolley United States	37	226 0.3×	280 0.4×	178 0.5×	87 0.3×	124 0.5×	151	5.1k
Jane F. Gentleman Canada	18	52 0.1×	400 0.6×	225 0.6×	79 0.3×	56 0.2×	54	2.0k
Scott H. Holan United States	21	98 0.1×	204 0.3×	79 0.2×	105 0.3×	95 0.4×	94	1.3k

Countries citing papers authored by J. H. Pollard

Since Specialization

Citations

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

Fields of papers citing papers by J. H. Pollard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. H. Pollard. 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 J. H. Pollard. The network helps show where J. H. Pollard may publish in the future.

Co-authorship network of co-authors of J. H. Pollard

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Parmenter, Robert, Terry L. Yates, David R. Anderson, et al.. (2003). SMALL-MAMMAL DENSITY ESTIMATION: A FIELD COMPARISON OF GRID-BASED VS. WEB-BASED DENSITY ESTIMATORS. Ecological Monographs. 73(1). 1–26. 176 indexed citations

2.

Pollard, J. H., Debra L. Palka, & S. T. Buckland. (2002). Adaptive Line Transect Sampling. Biometrics. 58(4). 862–870. 17 indexed citations

3.

Pollard, J. H.. (2002). Improving Mortality: A Rule of Thumb andRegulatory Tool. Insecta mundi. 10. 219–228. 1 indexed citations

4.

Pollard, J. H., et al.. (1999). Introductory Statistics with Applications in General Insurance. Cambridge University Press eBooks. 15 indexed citations

5.

Pollard, J. H., et al.. (1997). On the use of the truncated Gompertz distribution and other models to represent the parity progression functions of high fertility populations. Mathematical Population Studies. 6(4). 291–305. 2 indexed citations

6.

Pollard, J. H. & S. T. Buckland. (1997). A strategy for adaptive sampling in shipboard line transect surveys.. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 8 indexed citations

7.

Rockett, Ian R. H. & J. H. Pollard. (1995). Life Table Analaysis of the United States' Year 2000 Mortality Objectives. International Journal of Epidemiology. 24(3). 547–551. 4 indexed citations

8.

Pollard, J. H.. (1993). Heterogeneity, dependence among causes of death and Gompertz. Mathematical Population Studies. 4(2). 117–132. 8 indexed citations

9.

Pollard, J. H.. (1990). Morbidity and mortality: Differentials and their trends. European Journal of Population / Revue européenne de Démographie. 6(3). 205–225. 2 indexed citations

10.

Pollard, J. H.. (1982). The expectation of life and its relationship to mortality. Journal of the Institute of Actuaries. 109(2). 225–240. 134 indexed citations

11.

Pollard, J. H. & Michael Sherris. (1980). Application of matrix methods to pension funds. Scandinavian Actuarial Journal. 1980(2). 77–95. 1 indexed citations

12.

Pollard, J. H.. (1978). Fluctuating interest rates. Advances in Applied Probability. 10(4). 707–711. 6 indexed citations

13.

Stern, R. D. & J. H. Pollard. (1978). A Handbook of Numerical and Statistical Techniques: With Examples Mainly from the Life Sciences.. Journal of Applied Ecology. 15(2). 644–644. 54 indexed citations

14.

Pollard, J. H., et al.. (1973). Mathematical Models for the Growth of Human Populations. Biometrics. 29(4). 833–833. 74 indexed citations

15.

Pollard, J. H.. (1970). A Taylor series expansion for Lotka’s r. Demography. 7(2). 151–154. 4 indexed citations

16.

Pollard, J. H., et al.. (1969). A Stochastic Approach to Actuarial Functions. Journal of the Institute of Actuaries. 95(1). 79–113. 17 indexed citations

17.

Pollard, J. H.. (1968). A note on multi-type Galton-Watson processes with random branching probabilities. Biometrika. 55(3). 589–590. 18 indexed citations

18.

Pollard, J. H.. (1967). Hierarchical population models with poisson recruitment. Journal of Applied Probability. 4(1). 209–213. 8 indexed citations

19.

Jones, R V & J. H. Pollard. (1962). The Scintillation Properties of Cadmium Fluoride. Proceedings of the Physical Society. 79(2). 358–365. 12 indexed citations

20.

Pollard, J. H.. (1957). Adventure begins in Kenya.

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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