Danielle Groat

487 citations
26 papers · 284 · h-index 9

Impact in

Papers in

Danielle Groat

23 papers receiving 274 citations

Peers

Danielle Groat
Comparison fields: 5 of 77
  • Internal Medicine 42
  • Endocrinology, Diabetes and Metabolism 103
  • Critical Care and Intensive Care Medicine 28
  • Hematology 38
  • Health Information Management 13
Replace Stefania Frasson with:
Stefania Frasson Italy
Stefano Cornara Italy
Angela D’Amore United Kingdom
Stanislav Glezer United States
Carlos Mena United States
Andrea Di Lenarda Italy
Alfons Aguirre Spain
Joana Silva Portugal
Louis Lind Plesner Denmark
Arezou Tajlil Iran
Danielle Groat relative to Stefania Frasson Italy Stefania Frasson's profile →
Citations per field
00.5×3.3×
Stefania Frasson · 1×
Citations per year

Countries citing papers authored by Danielle Groat

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Groat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Groat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle Groat Line = papers co-authored together Danielle Groat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202182
2 201929
3 202027
4 202020
5 201914
6 202014
7 201812
8
Using Process Mining Techniques to Study Workflows in a Pre-operative Setting.
201710
9 201610
10 20218
11 20158
12 20168
13 20237
14 20207
15 20177
16 20186
17 20225
18 20232
19 20222
20 20172

About Danielle Groat

Danielle Groat is a scholar working on Endocrinology, Diabetes and Metabolism, Critical Care and Intensive Care Medicine, Surgery, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 26 papers that have together received 284 indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Diabetes Management and Education (7 papers), Diabetes Treatment and Management (7 papers), Intensive Care Unit Cognitive Disorders (5 papers), Pancreatic function and diabetes (4 papers), Emergency and Acute Care Studies (3 papers), Respiratory Support and Mechanisms (3 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Internal Medicine (42 citations), Endocrinology, Diabetes and Metabolism (103 citations), Critical Care and Intensive Care Medicine (28 citations), Hematology (38 citations) and Health Information Management (13 citations). Danielle Groat has collaborated with scholars based in United States and Canada. Frequent co-authors include Adela Grando, Curtiss B. Cook, Bithika Thompson, Emily L. Wilson, Brent Armbruster, James F. Lloyd, C. Gregory Elliott, Scott C. Woller, David M. Kaplan and Tzu‐Fei Wang. Their work appears in journals such as Journal of Diabetes Science and Technology, Applied Clinical Informatics, Annals of the American Thoracic Society, Critical Care Medicine and JAMA Network Open.

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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