Allyson M Abrams

440 total citations
11 papers, 317 citations indexed

About

Allyson M Abrams is a scholar working on Epidemiology, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Allyson M Abrams has authored 11 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 3 papers in Economics and Econometrics and 2 papers in Molecular Biology. Recurrent topics in Allyson M Abrams's work include Data-Driven Disease Surveillance (9 papers), Influenza Virus Research Studies (2 papers) and COVID-19 epidemiological studies (2 papers). Allyson M Abrams is often cited by papers focused on Data-Driven Disease Surveillance (9 papers), Influenza Virus Research Studies (2 papers) and COVID-19 epidemiological studies (2 papers). Allyson M Abrams collaborates with scholars based in United States. Allyson M Abrams's co-authors include Ken Kleinman, Martin Kulldorff, Richard Platt, Raymond J. Melrose, Janice P. Handlers, Richard Platt, James D. Nordin, Michael J. Goodman, Debra P. Ritzwoller and James G. Donahue and has published in prestigious journals such as Emerging infectious diseases, Statistics in Medicine and Epidemiology and Infection.

In The Last Decade

Allyson M Abrams

11 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Allyson M Abrams United States	9	205	68	54	39	37	11	317
J. Peters New Zealand	8	182 0.9×	52 0.8×	51 0.9×	23 0.6×	29 0.8×	13	476
Angela Noufaily United Kingdom	12	144 0.7×	38 0.6×	79 1.5×	24 0.6×	16 0.4×	25	412
Insung Ahn South Korea	9	116 0.6×	33 0.5×	129 2.4×	54 1.4×	11 0.3×	37	369
Eugene Elbert United States	5	261 1.3×	54 0.8×	53 1.0×	7 0.2×	14 0.4×	6	321
Rohit Chitale United States	11	170 0.8×	85 1.3×	92 1.7×	15 0.4×	28 0.8×	26	425
Fengchen Liu United States	12	128 0.6×	57 0.8×	85 1.6×	16 0.4×	7 0.2×	35	377
Ray Arthur United States	11	150 0.7×	98 1.4×	61 1.1×	6 0.2×	21 0.6×	15	519
Shujiang Mei China	13	142 0.7×	50 0.7×	115 2.1×	22 0.6×	113 3.1×	35	489
Wudi Wei China	13	180 0.9×	20 0.3×	46 0.9×	31 0.8×	8 0.2×	40	425
Huaxiang Rao China	10	125 0.6×	48 0.7×	60 1.1×	34 0.9×	25 0.7×	27	317

Countries citing papers authored by Allyson M Abrams

Since Specialization

Citations

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

Fields of papers citing papers by Allyson M Abrams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allyson M Abrams

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

All Works

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11 of 11 papers shown

Lewis, Bryan, Stephen Eubank, Allyson M Abrams, & Ken Kleinman. (2013). in silico Surveillance: evaluating outbreak detection with simulation models. BMC Medical Informatics and Decision Making. 13(1). 12–12. 10 indexed citations

Greene, Sharon K., Jie Huang, Allyson M Abrams, et al.. (2012). Gastrointestinal Disease Outbreak Detection Using Multiple Data Streams from Electronic Medical Records. Foodborne Pathogens and Disease. 9(5). 431–441. 17 indexed citations

Abrams, Allyson M, Ken Kleinman, & Martin Kulldorff. (2010). Gumbel based p-value approximations for spatial scan statistics. International Journal of Health Geographics. 9(1). 61–61. 35 indexed citations

McBrien, Kerry, Ken Kleinman, Allyson M Abrams, & Lisa A. Prosser. (2010). Use of outcomes to evaluate surveillance systems for bioterrorist attacks. BMC Medical Informatics and Decision Making. 10(1). 25–25. 7 indexed citations

Galbraith, Alison, Dennis Ross‐Degnan, Stephen B. Soumerai, et al.. (2010). Use of well-child visits in high-deductible health plans.. PubMed. 16(11). 833–40. 12 indexed citations

Kleinman, Ken & Allyson M Abrams. (2008). Assessing the utility of public health surveillance using specificity, sensitivity, and lives saved. Statistics in Medicine. 27(20). 4057–4068. 7 indexed citations

Abrams, Allyson M & Ken Kleinman. (2007). A SaTScan™ macro accessory for cartography (SMAC) package implemented with SAS® software. International Journal of Health Geographics. 6(1). 6–6. 22 indexed citations

Kleinman, Ken & Allyson M Abrams. (2006). Assessing surveillance using sensitivity, specificity and timeliness. Statistical Methods in Medical Research. 15(5). 445–464. 42 indexed citations

Kleinman, Ken, Allyson M Abrams, Martin Kulldorff, & Richard Platt. (2005). A model-adjusted space–time scan statistic with an application to syndromic surveillance. Epidemiology and Infection. 133(3). 409–419. 98 indexed citations

10.

Nordin, James D., Michael J. Goodman, Martin Kulldorff, et al.. (2005). Simulated Anthrax Attacks and Syndromic Surveillance. Emerging infectious diseases. 11(9). 1394–1398. 33 indexed citations

11.

Handlers, Janice P., et al.. (1985). Oral Features of Wegener's Granulomatosis. Archives of Otolaryngology - Head and Neck Surgery. 111(4). 267–270. 34 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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