Geoffrey M. Jacquez

3.6k total citations
90 papers, 2.5k citations indexed

About

Geoffrey M. Jacquez is a scholar working on Epidemiology, Economics and Econometrics and Oncology. According to data from OpenAlex, Geoffrey M. Jacquez has authored 90 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Epidemiology, 34 papers in Economics and Econometrics and 12 papers in Oncology. Recurrent topics in Geoffrey M. Jacquez's work include Data-Driven Disease Surveillance (45 papers), Spatial and Panel Data Analysis (30 papers) and Global Cancer Incidence and Screening (9 papers). Geoffrey M. Jacquez is often cited by papers focused on Data-Driven Disease Surveillance (45 papers), Spatial and Panel Data Analysis (30 papers) and Global Cancer Incidence and Screening (9 papers). Geoffrey M. Jacquez collaborates with scholars based in United States, Denmark and Canada. Geoffrey M. Jacquez's co-authors include Pierre Goovaerts, Jaymie R. Meliker, Robert R. Sokal, Gillian A. AvRuskin, Jerome O. Nriagu, Melissa J. Slotnick, Marie‐Josée Fortin, Michael C. Wooten, Susan Maruca and Lance A. Waller and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Geoffrey M. Jacquez

90 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geoffrey M. Jacquez United States 30 848 531 314 264 263 90 2.5k
Andrea Riebler Norway 17 349 0.4× 389 0.7× 305 1.0× 203 0.8× 153 0.6× 30 2.6k
Daniel Wartenberg United States 34 489 0.6× 373 0.7× 427 1.4× 137 0.5× 772 2.9× 108 3.8k
Jon Wakefield United States 41 566 0.7× 505 1.0× 789 2.5× 183 0.7× 574 2.2× 133 5.4k
Linda J. Young United States 32 493 0.6× 304 0.6× 183 0.6× 338 1.3× 219 0.8× 144 4.4k
Andrew Lawson United States 32 1.3k 1.5× 1.1k 2.0× 199 0.6× 226 0.9× 729 2.8× 215 4.8k
Sara Martino Norway 13 347 0.4× 681 1.3× 258 0.8× 494 1.9× 249 0.9× 28 3.9k
Dale L. Zimmerman United States 28 468 0.6× 654 1.2× 181 0.6× 973 3.7× 156 0.6× 93 3.2k
Eric Delmelle United States 29 612 0.7× 351 0.7× 519 1.7× 160 0.6× 264 1.0× 89 3.4k
Daniel Simpson United Kingdom 20 349 0.4× 617 1.2× 191 0.6× 619 2.3× 343 1.3× 57 4.3k
Christopher Jackson United Kingdom 29 418 0.5× 728 1.4× 157 0.5× 49 0.2× 119 0.5× 86 4.0k

Countries citing papers authored by Geoffrey M. Jacquez

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey M. Jacquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey M. Jacquez. 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 Geoffrey M. Jacquez. The network helps show where Geoffrey M. Jacquez may publish in the future.

Co-authorship network of co-authors of Geoffrey M. Jacquez

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey M. Jacquez. A scholar is included among the top collaborators of Geoffrey M. Jacquez 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 Geoffrey M. Jacquez. Geoffrey M. Jacquez 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.
Nordsborg, Rikke Baastrup, Jaymie R. Meliker, Annette Kjær Ersbøll, et al.. (2014). Space-time clusters of breast cancer using residential histories: A Danish case–control study. BMC Cancer. 14(1). 255–255. 8 indexed citations
2.
Conlon, Kathryn C., et al.. (2012). O-174. Epidemiology. 23. 1–1. 1 indexed citations
3.
Jacquez, Geoffrey M.. (2009). Cluster morphology analysis. Spatial and Spatio-temporal Epidemiology. 1(1). 19–29. 25 indexed citations
4.
Jacquez, Geoffrey M., et al.. (2007). In search of induction and latency periods: Space-time interaction accounting for residential mobility, risk factors and covariates. International Journal of Health Geographics. 6(1). 35–35. 22 indexed citations
5.
AvRuskin, Gillian A., Jaymie R. Meliker, & Geoffrey M. Jacquez. (2007). Using satellite derived land cover information for a multi-temporal study of self-reported recall of proximity to farmland. Journal of Exposure Science & Environmental Epidemiology. 18(4). 381–391. 7 indexed citations
6.
Meliker, Jaymie R., Gillian A. AvRuskin, Melissa J. Slotnick, et al.. (2007). Validity of spatial models of arsenic concentrations in private well water. Environmental Research. 106(1). 42–50. 29 indexed citations
7.
Meliker, Jaymie R., Melissa J. Slotnick, Gillian A. AvRuskin, et al.. (2006). Approaches for Analyzing the Temporal Relationship Between Arsenic Exposure and Bladder Cancer Over the Life Course. Epidemiology. 17(Suppl). S506–S506. 1 indexed citations
8.
Jacquez, Geoffrey M., Jaymie R. Meliker, Gillian A. AvRuskin, et al.. (2006). Case-control geographic clustering for residential histories accounting for risk factors and covariates.. International Journal of Health Geographics. 5(1). 32–32. 27 indexed citations
9.
Jacquez, Geoffrey M., et al.. (2005). Design and implementation of a Space-Time Intelligence System for disease surveillance. Journal of Geographical Systems. 7(1). 7–23. 42 indexed citations
10.
AvRuskin, Gillian A., Pierre Goovaerts, Jaymie R. Meliker, et al.. (2004). Geostatistical Modeling of the Spatial Variability of Arsenic in Groundwater of Southeast Michigan. AGU Fall Meeting Abstracts. 2004. 1 indexed citations
11.
12.
Jacquez, Geoffrey M., et al.. (2003). Local clustering in breast, lung and colorectal cancer in Long Island, New York. International Journal of Health Geographics. 2(1). 3–3. 89 indexed citations
13.
Jacquez, John A. & Geoffrey M. Jacquez. (2002). Fisher’s randomization test and Darwin’s data – A footnote to the history of statistics. Mathematical Biosciences. 180(1-2). 23–28. 6 indexed citations
14.
Jacquez, Geoffrey M.. (2000). Spatial analysis in epidemiology: Nascent science or a failure of GIS?. Journal of Geographical Systems. 2(1). 91–97. 75 indexed citations
15.
Jacquez, Geoffrey M.. (1999). Spatial Statistics When Locations Are Uncertain. 5(2). 77–87. 9 indexed citations
16.
Oden, Neal L., Geoffrey M. Jacquez, & Roger Grimson. (1998). Authors' Reply. Statistics in Medicine. 17(9). 1058–1062. 2 indexed citations
17.
Jacquez, Geoffrey M.. (1996). STATISTICAL SOFTWARE FOR THE CLUSTERING OF HEALTH EVENTS. Statistics in Medicine. 15(7-9). 951–952. 17 indexed citations
18.
Waller, Lance A. & Geoffrey M. Jacquez. (1995). Disease Models Implicit in Statistical Tests of Disease Clustering. Epidemiology. 6(6). 584–590. 39 indexed citations
19.
Sokal, Robert R. & Geoffrey M. Jacquez. (1991). TESTING INFERENCES ABOUT MICRO-EVOLUTIONARY PROCESSES BY MEANS OF SPATIAL AUTOCORRELATION ANALYSIS. Evolution. 45(1). 152–168. 83 indexed citations
20.
Sokal, Robert R., Geoffrey M. Jacquez, & Michael C. Wooten. (1989). Spatial autocorrelation analysis of migration and selection.. Genetics. 121(4). 845–855. 152 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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