William Wheaton

449 total citations
9 papers, 284 citations indexed

About

William Wheaton is a scholar working on Sociology and Political Science, Epidemiology and Modeling and Simulation. According to data from OpenAlex, William Wheaton has authored 9 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Epidemiology and 3 papers in Modeling and Simulation. Recurrent topics in William Wheaton's work include COVID-19 epidemiological studies (3 papers), Urban, Neighborhood, and Segregation Studies (2 papers) and Data-Driven Disease Surveillance (2 papers). William Wheaton is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Urban, Neighborhood, and Segregation Studies (2 papers) and Data-Driven Disease Surveillance (2 papers). William Wheaton collaborates with scholars based in United States, United Kingdom and Canada. William Wheaton's co-authors include Philip C. Cooley, James Cajka, L. Ganapathi, Alastair Ager, Lindsay Stark, Leah E. Roberts, Neil Boothby, Diane K. Wagener, Justine Allpress and Scott D. Holmberg and has published in prestigious journals such as Journal of Epidemiology & Community Health, Infection Control and Hospital Epidemiology and Mathematical and Computer Modelling.

In The Last Decade

William Wheaton

8 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Wheaton United States	6	81	72	57	48	43	9	284
Simone Carter United States	10	37 0.5×	161 2.2×	87 1.5×	61 1.3×	55 1.3×	19	368
Klara Henderson United States	9	65 0.8×	34 0.5×	58 1.0×	79 1.6×	53 1.2×	13	376
Shirley Verônica Melo Almeida Lima Brazil	11	157 1.9×	64 0.9×	48 0.8×	84 1.8×	76 1.8×	71	469
Lauren S. Hughes United States	10	41 0.5×	10 0.1×	77 1.4×	255 5.3×	31 0.7×	26	442
Meili Shang China	6	97 1.2×	203 2.8×	12 0.2×	46 1.0×	87 2.0×	11	399
Kim Van Kerckhove Belgium	9	171 2.1×	252 3.5×	70 1.2×	15 0.3×	35 0.8×	14	382
Hasiya Yusuf United States	10	75 0.9×	51 0.7×	23 0.4×	80 1.7×	44 1.0×	32	316
Panithee Thammawijaya Thailand	10	119 1.5×	48 0.7×	51 0.9×	123 2.6×	59 1.4×	33	458
Nadia A. Charania New Zealand	10	118 1.5×	15 0.2×	163 2.9×	66 1.4×	50 1.2×	40	325
Deepit Bhatia Canada	7	57 0.7×	71 1.0×	21 0.4×	22 0.5×	19 0.4×	8	208

Countries citing papers authored by William Wheaton

Since Specialization

Citations

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

Fields of papers citing papers by William Wheaton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Wheaton

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

All Works

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9 of 9 papers shown

1.

Muñoz, Breda, et al.. (2012). Synthesized Population Databases: A Geospatial Database of US Poultry Farms. PubMed. MR-0023-1201. 1–24. 9 indexed citations

2.

Huang, Susan S., Taliser R. Avery, Yeohan Song, et al.. (2010). Quantifying Interhospital Patient Sharing as a Mechanism for Infectious Disease Spread. Infection Control and Hospital Epidemiology. 31(11). 1160–1169. 58 indexed citations

3.

Wheaton, William, et al.. (2010). The Challenge of Designing a Port Terminal on a Compressible Spring, Craney Island Eastward Expansion, Portsmouth, Virginia. 891–900. 1 indexed citations

4.

Cajka, James, Philip C. Cooley, & William Wheaton. (2010). Attribute Assignment to a Synthetic Population in Support of Agent-Based Disease Modeling. PubMed. 19(1009). 1–14. 27 indexed citations

5.

Stark, Lindsay, et al.. (2009). Measuring violence against women amidst war and displacement in northern Uganda using the “neighbourhood method”. Journal of Epidemiology & Community Health. 64(12). 1056–1061. 75 indexed citations

6.

Wheaton, William, James Cajka, Diane K. Wagener, et al.. (2009). Synthesized population databases: A US geospatial database for agent-based models. PubMed. 2009(10). 905–905. 86 indexed citations

7.

Wheaton, William, et al.. (2009). Using Geographic Information Systems to Define and Map Commuting Patterns as Inputs to Agent-Based Models. PubMed. 2009(12). 906–906. 3 indexed citations

8.

Cooley, Philip C., et al.. (2007). Using influenza-like illness data to reconstruct an influenza outbreak. Mathematical and Computer Modelling. 48(5-6). 929–939. 25 indexed citations

9.

Wheaton, William, et al.. (2007). A Nationwide geo-referenced synthesized agent database for infectious disease models.

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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