Rubén A. Proaño

408 total citations
17 papers, 251 citations indexed

About

Rubén A. Proaño is a scholar working on Health, Epidemiology and Management Science and Operations Research. According to data from OpenAlex, Rubén A. Proaño has authored 17 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, 5 papers in Epidemiology and 4 papers in Management Science and Operations Research. Recurrent topics in Rubén A. Proaño's work include Vaccine Coverage and Hesitancy (6 papers), COVID-19 epidemiological studies (4 papers) and Influenza Virus Research Studies (3 papers). Rubén A. Proaño is often cited by papers focused on Vaccine Coverage and Hesitancy (6 papers), COVID-19 epidemiological studies (4 papers) and Influenza Virus Research Studies (3 papers). Rubén A. Proaño collaborates with scholars based in United States and Russia. Rubén A. Proaño's co-authors include Sheldon H. Jacobson, Katie McConky, Edward C. Sewell, Renata Konrad, Wenchang Zhang, Cecilia Ovesdotter Alm, Wenbo Zhang, Janet A. Jokela, Sandra D. Ekşioğlu and Qi Yu and has published in prestigious journals such as Journal of Cleaner Production, American Journal of Kidney Diseases and Vaccine.

In The Last Decade

Rubén A. Proaño

14 papers receiving 231 citations

Peers

Rubén A. Proaño
Rubén A. Proaño
Citations per year, relative to Rubén A. Proaño Rubén A. Proaño (= 1×) peers Igor Tona Peres

Countries citing papers authored by Rubén A. Proaño

Since Specialization
Citations

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

Fields of papers citing papers by Rubén A. Proaño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubén A. Proaño. 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 Rubén A. Proaño. The network helps show where Rubén A. Proaño may publish in the future.

Co-authorship network of co-authors of Rubén A. Proaño

This figure shows the co-authorship network connecting the top 25 collaborators of Rubén A. Proaño. A scholar is included among the top collaborators of Rubén A. Proaño 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 Rubén A. Proaño. Rubén A. Proaño 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.
Bui, Hieu, et al.. (2024). An analysis of COVID-19 vaccine hesitancy in the U.S.. IISE Transactions. 57(3). 246–260. 1 indexed citations
2.
Ekşioğlu, Sandra D., et al.. (2023). Designing drone delivery networks for vaccine supply chain: a case study of Niger. mediaTUM (Technical University of Munich). 14(3). 193–213. 8 indexed citations
4.
Konrad, Renata, et al.. (2019). Key considerations when using health insurance claims data in advanced data analyses: an experience report. Health Systems. 9(4). 317–325. 44 indexed citations
5.
McConky, Katie, et al.. (2018). Energy cost minimization for unrelated parallel machine scheduling under real time and demand charge pricing. Journal of Cleaner Production. 208. 232–242. 57 indexed citations
6.
Sterns, Richard H., et al.. (2018). Where Do the Salt and Water Go? A Case of Profound Hyponatremia. American Journal of Kidney Diseases. 72(6). 885–889. 5 indexed citations
7.
Proaño, Rubén A., et al.. (2017). Scheduling internal medicine resident rotations to ensure fairness and facilitate continuity of care. Health Care Management Science. 21(4). 461–474. 18 indexed citations
8.
Zhang, Wenchang, Margrét V. Bjarnadóttir, Rubén A. Proaño, David R. Anderson, & Renata Konrad. (2017). Accelerating the adoption of bundled payment reimbursement systems: A data-driven approach utilizing claims data. 8(1). 22–34. 2 indexed citations
9.
Proaño, Rubén A.. (2016). Case Article—Dealing with the Bug in the Classrooms: Planning for a Pandemic. INFORMS Transactions on Education. 16(3). 93–96. 2 indexed citations
10.
Alm, Cecilia Ovesdotter, et al.. (2016). Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data. 12 indexed citations
11.
Proaño, Rubén A.. (2016). Case—Dealing with the Bug in the Classrooms: Planning for a Pandemic. INFORMS Transactions on Education. 16(3). 97–103.
12.
Proaño, Rubén A., et al.. (2012). Determining the optimal vaccine vial size in developing countries: a Monte Carlo simulation approach. Health Care Management Science. 15(3). 188–196. 27 indexed citations
13.
Alm, Cecilia Ovesdotter, et al.. (2012). Detecting Distressed and Non-distressed Affect States in Short Forum Texts. 9–18. 11 indexed citations
14.
Proaño, Rubén A., Sheldon H. Jacobson, & Wenbo Zhang. (2011). Making combination vaccines more accessible to low-income countries: The antigen bundle pricing problem. Omega. 40(1). 53–64. 18 indexed citations
15.
Proaño, Rubén A., Sheldon H. Jacobson, & Janet A. Jokela. (2010). A multi-attribute approach for setting pediatric vaccinestockpile levels. Journal of Industrial and Management Optimization. 6(4). 709–727. 4 indexed citations
16.
Jacobson, Sheldon H., Edward C. Sewell, Rubén A. Proaño, & Janet A. Jokela. (2006). Stockpile levels for pediatric vaccines: How much is enough?. Vaccine. 24(17). 3530–3537. 15 indexed citations
17.
Jacobson, Sheldon H., Edward C. Sewell, & Rubén A. Proaño. (2006). An analysis of the pediatric vaccine supply shortage problem. Health Care Management Science. 9(4). 371–389. 27 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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