Jonathan M. Raviotta

1.5k total citations
31 papers, 409 citations indexed

About

Jonathan M. Raviotta is a scholar working on Epidemiology, Health and Modeling and Simulation. According to data from OpenAlex, Jonathan M. Raviotta has authored 31 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 16 papers in Health and 9 papers in Modeling and Simulation. Recurrent topics in Jonathan M. Raviotta's work include Influenza Virus Research Studies (23 papers), Vaccine Coverage and Hesitancy (15 papers) and Respiratory viral infections research (10 papers). Jonathan M. Raviotta is often cited by papers focused on Influenza Virus Research Studies (23 papers), Vaccine Coverage and Hesitancy (15 papers) and Respiratory viral infections research (10 papers). Jonathan M. Raviotta collaborates with scholars based in United States, South Korea and Canada. Jonathan M. Raviotta's co-authors include Richard K. Zimmerman, Mary Patricia Nowalk, Chyongchiou J. Lin, Kenneth J. Smith, Krissy Moehling Geffel, Jay V. DePasse, Eunha Shim, Shawn T. Brown, Hsin-Hui Huang and Song Zhang and has published in prestigious journals such as PEDIATRICS, American Journal of Epidemiology and Journal of the American Geriatrics Society.

In The Last Decade

Jonathan M. Raviotta

31 papers receiving 403 citations

Peers

Jonathan M. Raviotta
Comparison fields: 5 of 65
  • Epidemiology 310
  • Health 179
  • Infectious Diseases 75
  • Modeling and Simulation 70
  • General Health Professions 44
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Citations per field, relative to Jonathan M. Raviotta
Jonathan M. Raviotta · 1×
Citations per year, relative to Jonathan M. Raviotta
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Countries citing papers authored by Jonathan M. Raviotta

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Raviotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan M. Raviotta

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Raviotta. A scholar is included among the top collaborators of Jonathan M. Raviotta 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 Jonathan M. Raviotta. Jonathan M. Raviotta 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
# Work Indexed citations
1 2
2 10
3 10
4 6
5 17
6 21
7 10
8 3
9 2
10 3
11 13
12 12
13
Cost-effectiveness of a statewide falls prevention program in Pennsylvania: Healthy Steps for Older Adults.
11
14 12
15 10
16 12
17 27
18 27
19 15
20 22

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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