Julie Swann

3.8k total citations
85 papers, 2.1k citations indexed

About

Julie Swann is a scholar working on Modeling and Simulation, Epidemiology and Health. According to data from OpenAlex, Julie Swann has authored 85 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Modeling and Simulation, 18 papers in Epidemiology and 16 papers in Health. Recurrent topics in Julie Swann's work include COVID-19 epidemiological studies (20 papers), Supply Chain and Inventory Management (13 papers) and Vaccine Coverage and Hesitancy (9 papers). Julie Swann is often cited by papers focused on COVID-19 epidemiological studies (20 papers), Supply Chain and Inventory Management (13 papers) and Vaccine Coverage and Hesitancy (9 papers). Julie Swann collaborates with scholars based in United States, Türkiye and Hong Kong. Julie Swann's co-authors include Pınar Keskinocak, Paul M. Griffin, David Goldsman, Barry L. Nelson, Wheyming Tina Song, Matthew J. Drake, Susan O. Griffin, Robert Kirkman, Ali Ekici and Nicoleta Serban and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Julie Swann

82 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie Swann United States 22 352 316 277 254 240 85 2.1k
Paul M. Griffin United States 27 1.0k 3.0× 327 1.0× 32 0.1× 655 2.6× 239 1.0× 111 3.5k
Paul Harper United Kingdom 30 296 0.8× 607 1.9× 71 0.3× 44 0.2× 1.0k 4.2× 114 3.3k
Viju Raghupathi United States 15 466 1.3× 258 0.8× 36 0.1× 138 0.5× 418 1.7× 56 3.2k
Christine Currie United Kingdom 22 197 0.6× 286 0.9× 163 0.6× 141 0.6× 220 0.9× 76 2.6k
Sally Brailsford United Kingdom 32 588 1.7× 1.2k 3.7× 116 0.4× 127 0.5× 998 4.2× 128 3.9k
Hao Yu Norway 21 205 0.6× 99 0.3× 48 0.2× 649 2.6× 90 0.4× 92 1.9k
Sílvio Hamacher Brazil 23 209 0.6× 157 0.5× 142 0.5× 273 1.1× 262 1.1× 82 2.1k
Dilly Anumba United Kingdom 35 302 0.9× 808 2.6× 16 0.1× 374 1.5× 62 0.3× 200 4.9k
Tillal Eldabi United Kingdom 27 621 1.8× 786 2.5× 39 0.1× 291 1.1× 431 1.8× 129 2.9k
Fibi Eko Putra Indonesia 4 86 0.2× 87 0.3× 9 0.0× 154 0.6× 159 0.7× 7 3.0k

Countries citing papers authored by Julie Swann

Since Specialization
Citations

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

Fields of papers citing papers by Julie Swann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Swann

This figure shows the co-authorship network connecting the top 25 collaborators of Julie Swann. A scholar is included among the top collaborators of Julie Swann 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 Julie Swann. Julie Swann 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.
Keskinocak, Pınar, et al.. (2024). Potential Impact of a Diagnostic Test for Detecting Prepatent Guinea Worm Infections in Dogs. American Journal of Tropical Medicine and Hygiene. 110(5). 953–960.
2.
3.
Swann, Julie, et al.. (2024). Risk score models for urinary tract infection hospitalization. PLoS ONE. 19(6). e0290215–e0290215. 1 indexed citations
4.
Wang, Yifan, et al.. (2023). Evaluating the Effectiveness of Potential Interventions for Guinea Worm Disease in Dogs in Chad Using Simulations. American Journal of Tropical Medicine and Hygiene. 109(4). 835–843. 1 indexed citations
5.
Johnson, Karl, Caitlin B. Biddell, Kristen Hassmiller Lich, et al.. (2022). Use of Modeling to Inform Decision Making in North Carolina during the COVID-19 Pandemic: A Qualitative Study. MDM Policy & Practice. 7(2). 97863114–97863114. 5 indexed citations
6.
Rosenstrom, Erik, Julie S. Ivy, María E. Mayorga, et al.. (2022). Can vaccine prioritization reduce disparities in COVID-19 burden for historically marginalized populations?. PNAS Nexus. 1(1). pgab004–pgab004. 6 indexed citations
7.
Rosenstrom, Erik, Julie S. Ivy, María E. Mayorga, et al.. (2022). Vaccinating children against COVID-19 is crucial to protect schools and communities. PNAS Nexus. 1(3). pgac081–pgac081. 4 indexed citations
8.
Biddell, Caitlin B., Karl Johnson, Mehul D. Patel, et al.. (2022). Cross-sector decision landscape in response to COVID-19: A qualitative network mapping analysis of North Carolina decision-makers. Frontiers in Public Health. 10. 906602–906602. 5 indexed citations
9.
Gaynes, Bradley N., et al.. (2021). DIP: Natural history model for major depression with incidence and prevalence. Journal of Affective Disorders. 296. 498–505. 6 indexed citations
10.
11.
Shi, Pengyi, et al.. (2020). The impact of opening dedicated clinics on disease transmission during an influenza pandemic. PLoS ONE. 15(8). e0236455–e0236455. 4 indexed citations
12.
Smith, Anna Jo Bodurtha, et al.. (2020). Assessing Health and Wellness Outcomes of Medicaid-Enrolled Infants Born to Adolescent Mothers. Maternal and Child Health Journal. 25(5). 821–831. 1 indexed citations
13.
Li, Zihao, Julie Swann, & Pınar Keskinocak. (2018). Value of inventory information in allocating a limited supply of influenza vaccine during a pandemic. PLoS ONE. 13(10). e0206293–e0206293. 20 indexed citations
14.
Vlachy, Jan, Qing Li, Turgay Ayer, et al.. (2018). Risk Factors for Seizures Among Young Children Monitored With Continuous Electroencephalography in Intensive Care Unit: A Retrospective Study. Frontiers in Pediatrics. 6. 303–303. 20 indexed citations
15.
Swann, Julie, et al.. (2014). DYNAMIC PRICING WITH UPDATED DEMAND FOR THE SPORTS AND ENTERTAINMENT TICKET INDUSTRY. Journal of Computer Science. 10(11). 2240–2252. 1 indexed citations
16.
Drake, Matthew J., Paul M. Griffin, & Julie Swann. (2011). Case Article—Keeping Logistics Under Wraps. INFORMS Transactions on Education. 11(2). 57–62. 9 indexed citations
17.
Drake, Matthew J., Paul M. Griffin, & Julie Swann. (2011). Keeping Logistics Under Wraps. INFORMS Transactions on Education. 11(2). 57–67. 3 indexed citations
18.
Ekici, Ali, Pınar Keskinocak, & Julie Swann. (2008). Pandemic influenza response. Winter Simulation Conference. 1592–1600. 19 indexed citations
19.
Chan, Lap Mui Ann, David Simchi‐Levi, & Julie Swann. (2006). Pricing, Production, and Inventory Policies for Manufacturing with Stochastic Demand and Discretionary Sales. Manufacturing & Service Operations Management. 8(2). 149–168. 45 indexed citations
20.
Biller, Stephan, et al.. (2002). Dynamic Pricing and the Direct-to-Customer Model in the Automotive Industry: Technical Results and Proofs ⁄. 4 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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