Yevgeniy Elbert

423 total citations
17 papers, 311 citations indexed

About

Yevgeniy Elbert is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Yevgeniy Elbert has authored 17 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Molecular Biology. Recurrent topics in Yevgeniy Elbert's work include Data-Driven Disease Surveillance (12 papers), COVID-19 epidemiological studies (3 papers) and Animal Disease Management and Epidemiology (3 papers). Yevgeniy Elbert is often cited by papers focused on Data-Driven Disease Surveillance (12 papers), COVID-19 epidemiological studies (3 papers) and Animal Disease Management and Epidemiology (3 papers). Yevgeniy Elbert collaborates with scholars based in United States, Thailand and Philippines. Yevgeniy Elbert's co-authors include Howard Burkom, Julie A. Pavlin, Patrick W. Kelley, Michael D. Lewis, A.B. Feldman, Jingwei Lin, Anna L. Buczak, Benjamin Baugher, Sheri Lewis and Steven M. Babin and has published in prestigious journals such as PLoS ONE, American Journal of Preventive Medicine and Statistics in Medicine.

In The Last Decade

Yevgeniy Elbert

16 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yevgeniy Elbert United States 8 185 97 63 51 50 17 311
Richard Wojcik United States 10 192 1.0× 77 0.8× 46 0.7× 42 0.8× 46 0.9× 19 312
Wayne Loschen United States 5 187 1.0× 73 0.8× 43 0.7× 42 0.8× 37 0.7× 19 263
Eugene Elbert United States 5 261 1.4× 54 0.6× 53 0.8× 47 0.9× 40 0.8× 6 321
Allyson M Abrams United States 9 205 1.1× 68 0.7× 54 0.9× 36 0.7× 28 0.6× 11 317
Herman Tolentino United States 8 157 0.8× 77 0.8× 33 0.5× 54 1.1× 32 0.6× 15 296
Marc Paladini United States 10 390 2.1× 108 1.1× 140 2.2× 18 0.4× 98 2.0× 15 539
John W. Loonsk United States 10 179 1.0× 78 0.8× 28 0.4× 55 1.1× 15 0.3× 18 356
Anya Okhmatovskaia Canada 9 103 0.6× 41 0.4× 50 0.8× 33 0.6× 24 0.5× 27 305
Angela Noufaily United Kingdom 12 144 0.8× 38 0.4× 79 1.3× 18 0.4× 67 1.3× 25 412
Sheryl A. Kluberg United States 10 136 0.7× 79 0.8× 85 1.3× 25 0.5× 137 2.7× 19 391

Countries citing papers authored by Yevgeniy Elbert

Since Specialization
Citations

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

Fields of papers citing papers by Yevgeniy Elbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yevgeniy Elbert. 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 Yevgeniy Elbert. The network helps show where Yevgeniy Elbert may publish in the future.

Co-authorship network of co-authors of Yevgeniy Elbert

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

All Works

17 of 17 papers shown
1.
Burkom, Howard, et al.. (2019). Equine syndromic surveillance in Colorado using veterinary laboratory testing order data. PLoS ONE. 14(3). e0211335–e0211335. 4 indexed citations
2.
Burkom, Howard, et al.. (2016). Syndromic Surveillance System for Korea–US Joint Biosurveillance Portal: Design and Lessons Learned. Health Security. 14(3). 152–160. 9 indexed citations
3.
Buczak, Anna L., Benjamin Baugher, Erhan Guven, et al.. (2015). Fuzzy association rule mining and classification for the prediction of malaria in South Korea. BMC Medical Informatics and Decision Making. 15(1). 47–47. 27 indexed citations
4.
Burkom, Howard, Yevgeniy Elbert, Christine Piatko, & Clay Fink. (2015). A Term-based Approach to Asyndromic Determination of Significant Case Clusters. Online Journal of Public Health Informatics. 7(1). 6 indexed citations
5.
Buczak, Anna L., Benjamin Baugher, Steven M. Babin, et al.. (2014). Prediction of High Incidence of Dengue in the Philippines. PLoS neglected tropical diseases. 8(4). e2771–e2771. 38 indexed citations
6.
Burkom, Howard, Yevgeniy Elbert, Erhan Guven, & Jacqueline Coberly. (2014). Analytic Biosurveillance Methods for Resource-Limited Settings. Online Journal of Public Health Informatics. 6(1). 1 indexed citations
7.
Coberly, Jacqueline, et al.. (2014). Tweeting Fever: Can Twitter Be Used to Monitor the Incidence of Dengue-Like Illness in the Philippines?. 10 indexed citations
8.
Pavlin, Julie A., Howard Burkom, Yevgeniy Elbert, et al.. (2013). Combining Surveillance Systems: Effective Merging of U.S. Veteran and Military Health Data. PLoS ONE. 8(12). e84077–e84077. 6 indexed citations
9.
Burkom, Howard, et al.. (2013). Refinement of a Population-Based Bayesian Network for Fusion of Health Surveillance Data. Online Journal of Public Health Informatics. 5(1). 1 indexed citations
10.
Burkom, Howard, Krista Kniss, Martin I. Meltzer, et al.. (2012). Investigating the effect of high spring incidence of pandemic influenza A(H1N1) on early autumn incidence. Epidemiology and Infection. 140(12). 2210–2222. 3 indexed citations
11.
Burkom, Howard, Yevgeniy Elbert, Richard J. Seagraves, et al.. (2011). Analytic fusion of ESSENCE clinical evidence sources for routine decision support. 4(0). 1 indexed citations
12.
Baer, Atar, et al.. (2010). Usefulness of Syndromic Data Sources for Investigating Morbidity Resulting From a Severe Weather Event. Disaster Medicine and Public Health Preparedness. 5(1). 37–45. 17 indexed citations
13.
Elbert, Yevgeniy & Howard Burkom. (2009). Development and evaluation of a data‐adaptive alerting algorithm for univariate temporal biosurveillance data. Statistics in Medicine. 28(26). 3226–3248. 23 indexed citations
14.
Burkom, Howard, et al.. (2008). Developments in the roles, features, and evaluation of alerting algorithms for disease outbreak monitoring. 27(4). 313–331. 7 indexed citations
15.
Cox, Kenneth L., Yevgeniy Elbert, George V. Ludwig, et al.. (2004). Department of Defense West Nile Virus Surveillance in 2002. Military Medicine. 169(6). 421–428. 6 indexed citations
16.
Burkom, Howard, Yevgeniy Elbert, A.B. Feldman, & Jingwei Lin. (2004). Role of Data Aggregation in Biosurveillance Detection Strategies with Applications from ESSENCE. PsycEXTRA Dataset. 53. 67–73. 43 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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