Laura Ruth Venable
- Artificial Intelligence top 10%
- Epidemiology
- Health Information Management top 5%
- Emergency Medicine top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Matthew M. ChurpekJohn FahrenbachL. Nelson Sanchez‐PintoKyle A. CareyDana P. EdelsonJ.C. RojasMichael D. HowellVineet M. Arora
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers)Machine Learning in Healthcare (3 papers)Heart Failure Treatment and Management (3 papers)
- Journals
- Critical Care MedicineJournal of General Internal MedicineJournal of the American Medical Informatics Association
- Partner nations
- United States
In The Last Decade
Laura Ruth Venable
14 papers receiving 385 citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 100
- Epidemiology 98
- Health Information Management 63
- Emergency Medicine 57
- Cardiology and Cardiovascular Medicine 56
Countries citing papers authored by Laura Ruth Venable
This map shows the geographic impact of Laura Ruth Venable'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 Laura Ruth Venable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Ruth Venable more than expected).
Fields of papers citing papers by Laura Ruth Venable
This network shows the impact of papers produced by Laura Ruth Venable. 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 Laura Ruth Venable. The network helps show where Laura Ruth Venable may publish in the future.
Co-authorship network of co-authors of Laura Ruth Venable
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Ruth Venable. A scholar is included among the top collaborators of Laura Ruth Venable 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 Laura Ruth Venable. Laura Ruth Venable is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 189 | |
| 10 | 109 | |
| 11 | 35 | |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 6 |
About Laura Ruth Venable
Laura Ruth Venable is a scholar working on Occupational Therapy, Health Information Management and Emergency Medicine, having authored 14 papers that have together received 394 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Machine Learning in Healthcare (3 papers) and Heart Failure Treatment and Management (3 papers). The work is most often cited by research in Health Informatics (26 citations), Health Information Management (63 citations) and Emergency Medicine (57 citations). Laura Ruth Venable has collaborated with scholars based in United States. Frequent co-authors include Matthew M. Churpek, John Fahrenbach, L. Nelson Sanchez‐Pinto, Kyle A. Carey, Dana P. Edelson, J.C. Rojas, Michael D. Howell, Vineet M. Arora, Wei Wei Lee and Kristen Wroblewski. Their work appears in journals such as Critical Care Medicine, Journal of General Internal Medicine and Journal of the American Medical Informatics Association.
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.