Michael Rapp

3.2k citations
28 papers · 2.5k · 1 hit paper · h-index 16

Impact in

Papers in

Michael Rapp

28 papers receiving 2.5k citations

Michael Rapp's Hit Papers

Patterns of Hospital Performance in Acute Myocardial Infarction and Heart Failure 30-Day Mortality and Readmission 2009 · 465 citations
4650+5+11Years since publication100200300400

Peers

Michael Rapp
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 946
  • Emergency Medicine 244
  • Geriatrics and Gerontology 38
  • General Health Professions 236
  • Internal Medicine 30
Replace Lein Han with:
Lein Han United States
Jason H. Wasfy United States
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Keiki Hinami United States
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Citations per field
00.5×1.7×
Lein Han · 1×
Citations per year

Countries citing papers authored by Michael Rapp

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Patterns of Hospital Performance in Acute Myocardial Infarction and Heart Failure 30-Day Mortality and Readmission
Hit paper breakdown →
2009465
2 2012280
3 2011268
4 2013245
5 2011201
6 2009199
7 2010137
8 2012125
9 2011107
10 201492
11 200287
12 201084
13 200160
14 201157
15 199850
16 201232
17 202010
18 20208
19 19927
20 20187

About Michael Rapp

Michael Rapp is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Information Systems, Emergency Medicine and Economics and Econometrics, having authored 28 papers that have together received 2.5k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (6 papers), Heart Failure Treatment and Management (5 papers), Spam and Phishing Detection (4 papers), Healthcare Policy and Management (4 papers), Emergency and Acute Care Studies (4 papers), Machine Learning in Bioinformatics (3 papers), Machine Learning and Data Classification (3 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (946 citations), Emergency Medicine (244 citations), Geriatrics and Gerontology (38 citations), General Health Professions (236 citations) and Internal Medicine (30 citations). Michael Rapp has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Lein Han, Harlan M. Krumholz, Elizabeth E. Drye, Sharon‐Lise T. Normand, Zhenqiu Lin, Rachel Louie, Elise H. Lawson, David S. Zingmond, Clifford Y. Ko and Bruce L. Hall. Their work appears in journals such as Circulation Cardiovascular Quality and Outcomes, Annals of Internal Medicine, Annals of Emergency Medicine, Annals of Surgery and Circulation.

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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