Jennifer Baumgartner

1.2k total citations
15 papers, 326 citations indexed

About

Jennifer Baumgartner is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Jennifer Baumgartner has authored 15 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Infectious Diseases and 6 papers in Modeling and Simulation. Recurrent topics in Jennifer Baumgartner's work include COVID-19 epidemiological studies (6 papers), Data-Driven Disease Surveillance (4 papers) and Viral Infections and Outbreaks Research (3 papers). Jennifer Baumgartner is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Data-Driven Disease Surveillance (4 papers) and Viral Infections and Outbreaks Research (3 papers). Jennifer Baumgartner collaborates with scholars based in United States, United Kingdom and Israel. Jennifer Baumgartner's co-authors include Emily McGibbon, Katelynn Devinney, Corinne N. Thompson, Scott A. Harper, Kristin Sweet, Annie D. Fine, Joseph Kennedy, Wenhui Li, Mary Huynh and Hiu Tai Chan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.

In The Last Decade

Jennifer Baumgartner

13 papers receiving 307 citations

Peers

Jennifer Baumgartner
Comparison fields: 5 of 68
  • Epidemiology 116
  • Infectious Diseases 106
  • Hepatology 69
  • Oncology 68
  • Modeling and Simulation 66
Replace Emily McGibbon with:
Emily McGibbon United States
Ricardo Cortés-Alcalá Mexico
Reiko Miyahara Japan
Richard Schabas Canada
Vincent Nguyen United Kingdom
LaRee Tracy United States
Marielle Fricchione United States
Victoria Peer Israel
Rachel Hart-Malloy United States
Yusha Tao China
Emily McGibbon United States View profile →
Citations per field, relative to Jennifer Baumgartner
Jennifer Baumgartner · 1×
Citations per year, relative to Jennifer Baumgartner
Jennifer Baumgartner · 1×

Countries citing papers authored by Jennifer Baumgartner

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Baumgartner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Baumgartner

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 17
3 12
4 0
5 2
6 7
7 36
8 124
9 1
10 7
11 37
12 8
13
Surveillance and preparedness for Ebola virus disease -- New York City, 2014.
13
14 10
15 52

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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