Scott Pappada

602 citations
21 papers · 376 · h-index 9

Impact in

Papers in

Scott Pappada

18 papers receiving 361 citations

Peers

Scott Pappada
Comparison fields: 5 of 86
  • Health Information Management 70
  • Endocrinology, Diabetes and Metabolism 211
  • Health Informatics 15
  • Family Practice 8
  • Genetics 84
Replace Rolf Hinzmann with:
Rolf Hinzmann Germany
Carmen Quirós Spain
Miye Wang China
Fang Liz Zhou United States
Feyissa Challa Ethiopia
Ramachandran Rajalakshmi India
Arshad Channanath Kuwait
Davood Shafie Iran
MAYUKO H. YAMADA Japan
Alistair Lumb United Kingdom
Scott Pappada relative to Rolf Hinzmann Germany Rolf Hinzmann's profile →
Citations per field
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Rolf Hinzmann · 1×
Citations per year

Countries citing papers authored by Scott Pappada

Since Specialization
Citations

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

Fields of papers citing papers by Scott Pappada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott Pappada, 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 Scott Pappada Line = papers co-authored together Scott Pappada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011133
2 200884
3 201550
4 201016
5 201913
6 201313
7 201712
8 202112
9 20248
10 20157
11 20226
12 20246
13 20225
14 20194
15 20033
16 20182
17 20181
18 20151
19 20230
20 20250

About Scott Pappada

Scott Pappada is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Health Informatics and Epidemiology, having authored 21 papers that have together received 376 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Healthcare Technology and Patient Monitoring (3 papers), Simulation-Based Education in Healthcare (3 papers), Emergency and Acute Care Studies (2 papers) and Innovations in Medical Education (2 papers). The work is most often cited by research in Health Information Management (70 citations), Endocrinology, Diabetes and Metabolism (211 citations), Health Informatics (15 citations), Family Practice (8 citations) and Genetics (84 citations). Scott Pappada has collaborated with scholars based in United States and France. Frequent co-authors include Brent D. Cameron, Paul M. Rosman, Thomas J. Papadimos, R. E. Bourey, Marilyn J. Borst, Stanislaw P. Stawicki, Sarathi Kalra, Christian Jones, Carla F. Justiniano and Allison A. Vanderbilt. Their work appears in journals such as Diabetes Technology & Therapeutics, Anaesthesia Critical Care & Pain Medicine, Journal of Pharmaceutical Innovation, Journal of Diabetes Science and Technology and Patient Safety in Surgery.

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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