Madison Ashworth
- Health top 2%
- Modeling and Simulation top 1%
- Economics and Econometrics top 5%
- Infectious Diseases top 10%
- Sociology and Political Science top 10%
- Co-authors
- Linda ThunströmDavid FinnoffStephen C. NewboldJason F. ShogrenTodd L. CherryHeidi J. AlbersRobin ThompsonDavid P. Johnson
- Topics
- COVID-19 epidemiological studies (10 papers)Homelessness and Social Issues (7 papers)Geriatric Care and Nursing Homes (4 papers)
- Journals
- Proceedings of the National Academy of SciencesScientific ReportsEnvironmental and Resource Economics
- Partner nations
- United StatesSwedenCosta Rica
In The Last Decade
Madison Ashworth
21 papers receiving 777 citations
Peers
Comparison fields: 5 of 102
- Health 351
- Modeling and Simulation 337
- Economics and Econometrics 275
- Infectious Diseases 239
- Sociology and Political Science 200
Countries citing papers authored by Madison Ashworth
This map shows the geographic impact of Madison Ashworth'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 Madison Ashworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madison Ashworth more than expected).
Fields of papers citing papers by Madison Ashworth
This network shows the impact of papers produced by Madison Ashworth. 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 Madison Ashworth. The network helps show where Madison Ashworth may publish in the future.
Co-authorship network of co-authors of Madison Ashworth
This figure shows the co-authorship network connecting the top 25 collaborators of Madison Ashworth. A scholar is included among the top collaborators of Madison Ashworth 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 Madison Ashworth. Madison Ashworth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 56 | |
| 15 | 142 | |
| 16 | 3 | |
| 17 | 44 | |
| 18 | 8 | |
| 19 | 296 | |
| 20 | 0 |
About Madison Ashworth
Madison Ashworth is a scholar working on Modeling and Simulation, Health and General Health Professions, having authored 24 papers that have together received 811 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Homelessness and Social Issues (7 papers) and Geriatric Care and Nursing Homes (4 papers). The work is most often cited by research in Modeling and Simulation (337 citations), Health (351 citations) and Infectious Diseases (239 citations). Madison Ashworth has collaborated with scholars based in United States, Sweden and Costa Rica. Frequent co-authors include Linda Thunström, David Finnoff, Stephen C. Newbold, Jason F. Shogren, Todd L. Cherry, Heidi J. Albers, Robin Thompson, David P. Johnson, Róger Madrigal and Louis Preonas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Environmental and Resource Economics.
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.