Estella M. Geraghty
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 3
- Physiology top 2%
- Internal Medicine top 5%
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- Health disparities and outcomes 5
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- Opioid Use Disorder Treatment 3
- Mosquito-borne diseases and control 2
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- HIV, Drug Use, Sexual Risk 3
- Data-Driven Disease Surveillance 3
- Liver Disease Diagnosis and Treatment 2
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- Patient Satisfaction in Healthcare 2
Estella M. Geraghty
25 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Endocrine and Autonomic Systems 634
- Modeling and Simulation 277
- Physiology 908
- Internal Medicine 64
- Health, Toxicology and Mutagenesis 218
Countries citing papers authored by Estella M. Geraghty
This map shows the geographic impact of Estella M. Geraghty'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 Estella M. Geraghty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Estella M. Geraghty more than expected).
Fields of papers citing papers by Estella M. Geraghty
This network shows the impact of papers produced by Estella M. Geraghty. 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 Estella M. Geraghty. The network helps show where Estella M. Geraghty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Estella M. Geraghty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | The Impact of COVID-19 on Geography, GIS, and Education | 2020 | 2 |
| 3 | Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemicsbreakdown → | 2020 | 483 |
| 4 | 2017 | 165 | |
| 5 | 2016 | 33 | |
| 6 | 2016 | 10 | |
| 7 | 2014 | 76 | |
| 8 | Neurodevelopmental Disorders and Prenatal Residential Proximity to Agricultural Pesticides: The CHARGE Studybreakdown → | 2014 | 384 |
| 9 | 2014 | 13 | |
| 10 | 2013 | 5 | |
| 11 | 2013 | 57 | |
| 12 | 2012 | 8 | |
| 13 | 2011 | 37 | |
| 14 | 2011 | 3 | |
| 15 | Obstructive Sleep Apnea–Hypopnea and Incident Stroke: The Sleep Heart Health Studybreakdown → | 2010 | 937 |
| 16 | 2010 | 55 | |
| 17 | 2008 | 26 | |
| 18 | 2007 | 53 | |
| 19 | 2003 | 42 | |
| 20 | 2003 | 193 |
About Estella M. Geraghty
Estella M. Geraghty is a scholar working on Modeling and Simulation, Health and Information Systems and Management, having authored 26 papers that have together received 2.8k indexed citations. Recurring topics across this work include Health disparities and outcomes (5 papers), COVID-19 epidemiological studies (3 papers), Opioid Use Disorder Treatment (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Data-Driven Disease Surveillance (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Patient Satisfaction in Healthcare (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (634 citations), Modeling and Simulation (277 citations) and Physiology (908 citations). Estella M. Geraghty has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Maged N. Kamel Boulos, John M. Boone, Michael Lebowitz, Naresh M. Punjabi, Daniel J. Gottlieb, George O'connor, Helaine E. Resnick, Susan Redline, Mark Sanders and Marie Diener‐West.
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.