G. David Williamson

3.0k total citations · 1 hit paper
17 papers, 2.3k citations indexed

About

G. David Williamson is a scholar working on Epidemiology, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, G. David Williamson has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 4 papers in Statistics, Probability and Uncertainty and 4 papers in Statistics and Probability. Recurrent topics in G. David Williamson's work include Data-Driven Disease Surveillance (7 papers), Influenza Virus Research Studies (5 papers) and Statistical Methods and Bayesian Inference (2 papers). G. David Williamson is often cited by papers focused on Data-Driven Disease Surveillance (7 papers), Influenza Virus Research Studies (5 papers) and Statistical Methods and Bayesian Inference (2 papers). G. David Williamson collaborates with scholars based in United States, Brazil and United Kingdom. G. David Williamson's co-authors include Donna F. Stroup, Paul Gard, Antonie W. Voors, Sathanur R. Srinivasan, James L. Cresanta, David S. Freedman, Larry S. Webber, Gerald S. Berenson, William P. Newman and Nancy H. Arden and has published in prestigious journals such as New England Journal of Medicine, Cancer and American Journal of Epidemiology.

In The Last Decade

G. David Williamson

16 papers receiving 2.2k 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.

Relation of Serum Lipoprotein Levels and Systolic Blood Pressure to Early Atherosclerosis

1986 836 citations William P. Newman, David S. Freedman et al. New England Journal of Medicine profile →

Peers

G. David Williamson

EPIDE

PHEOH

SURGE

CCM

EDM

Farid Najafi Iran

Long‐Teng Lee Taiwan

Thomas J. Papadimos United States

Longde Wang China

Bo Youl Choi South Korea

Dorit Nitzan Israel

Harvey W. Kaufman United States

Jennifer C. Nelson United States

Jing Wu China

Rajvir Singh Qatar

Farid Najafi Iran

G. David Williamson

474 ×0.6

EPIDE

472 ×0.9

PHEOH

230 ×0.6

SURGE

339 ×1.0

CCM

216 ×0.6

EDM

Citations per year, relative to G. David Williamson G. David Williamson (= 1×) peers Farid Najafi

Countries citing papers authored by G. David Williamson

Since Specialization

Citations

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

Fields of papers citing papers by G. David Williamson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. David Williamson. 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 G. David Williamson. The network helps show where G. David Williamson may publish in the future.

Co-authorship network of co-authors of G. David Williamson

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

All Works

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17 of 17 papers shown

1.

Antao, Vinicius C., Oleg Muravov, Theodore Larson, et al.. (2015). Considerations Before Establishing an Environmental Health Registry. American Journal of Public Health. 105(8). 1543–1551. 6 indexed citations

2.

Nobre, Flávio Fonseca, et al.. (2001). Dynamic linear model and SARIMA: a comparison of their forecasting performance in epidemiology. Statistics in Medicine. 20(20). 3051–3069. 106 indexed citations

3.

Nobre, Flávio Fonseca, et al.. (2001). Dynamic linear model and SARIMA: a comparison of their forecasting performance in epidemiology. Statistics in Medicine. 20(20). 3051–3069. 6 indexed citations

4.

Stroup, Donna F., Jesse A. Berlin, Sally C. Morton, et al.. (2000). Meta-analysis of Observational Studies in Epidemiology. 397 indexed citations

5.

VanBrackle, Lewis & G. David Williamson. (1999). A study of the average run length characteristics of the National Notifiable Diseases Surveillance System. Statistics in Medicine. 18(23). 3309–3319. 22 indexed citations

6.

Smallman‐Raynor, Matthew, Andrew Cliff, Peter Haggett, Donna F. Stroup, & G. David Williamson. (1999). Spatial and Temporal Patterns in Final Amendments to Provisional Disease Counts. Journal of Public Health Management and Practice. 5(3). 68–83. 2 indexed citations

7.

Williamson, G. David, et al.. (1999). A monitoring system for detecting aberrations in public health surveillance reports. Statistics in Medicine. 18(23). 3283–3298. 56 indexed citations

8.

Williamson, G. David, et al.. (1999). A monitoring system for detecting aberrations in public health surveillance reports. Statistics in Medicine. 18(23). 3283–3298. 4 indexed citations

9.

Simonsen, Lone, Matthew Clarke, G. David Williamson, et al.. (1997). The impact of influenza epidemics on mortality: introducing a severity index.. American Journal of Public Health. 87(12). 1944–1950. 480 indexed citations

10.

Simonsen, Lone, Matthew Clarke, Donna F. Stroup, et al.. (1997). A Method for Timely Assessment of Influenza-Associated Mortality in the United States. Epidemiology. 8(4). 390–390. 69 indexed citations

11.

Steinberg, Karen, S J Smith, Donna F. Stroup, et al.. (1997). Comparison of Effect Estimates from a Meta-Analysis of Summary Data from Published Studies and from a Meta-Analysis Using Individual Patient Data for Ovarian Cancer Studies. American Journal of Epidemiology. 145(10). 917–925. 113 indexed citations

12.

Cliff, Andrew, Peter Haggett, Matthew Smallman‐Raynor, Donna F. Stroup, & G. David Williamson. (1997). The importance of long-term records in publichealth surveillance: the US weekly sanitaryreports, 1888-1912, revisited. Journal of Public Health. 19(1). 76–84. 11 indexed citations

13.

Williamson, G. David, et al.. (1994). Models for Three-Dimensional Contingency Tables with Completely and Partially Cross-Classified Data. Biometrics. 50(1). 194–194. 15 indexed citations

14.

Hahn, Robert A., et al.. (1993). Mammography use and outcomes in a community the greater lansing area mammography study. Cancer. 71(5). 1801–1809. 28 indexed citations

15.

Tyler, Carl W., et al.. (1991). The diagnosis of ovarian cancer by pathologists: How often do diagnoses by contributing pathologists agree with a panel of gynecologic pathologists?. American Journal of Obstetrics and Gynecology. 164(1). 65–70. 37 indexed citations

16.

Stroup, Donna F., G. David Williamson, Joy L. Herndon, & John M. Karon. (1989). Detection of aberrations in the occurrence of notifiable diseases surveillance data. Statistics in Medicine. 8(3). 323–329. 108 indexed citations

17.

Newman, William P., David S. Freedman, Antonie W. Voors, et al.. (1986). Relation of Serum Lipoprotein Levels and Systolic Blood Pressure to Early Atherosclerosis. New England Journal of Medicine. 314(3). 138–144. 836 indexed citations breakdown →

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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