Daniel Singer

732 citations
34 papers · 498 · h-index 13

Impact in

Papers in

Daniel Singer

29 papers receiving 475 citations

Peers

Daniel Singer
Comparison fields: 5 of 116
  • Cardiology and Cardiovascular Medicine 146
  • Rehabilitation 32
  • Automotive Engineering 42
  • Industrial and Manufacturing Engineering 32
  • Information Systems and Management 21
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Singer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202174
2 202072
3 201651
4 201435
5 200330
6 201726
7 201324
8 201922
9 202121
10 201520
11 200816
12 201514
13
Course Convenience, Perceived Learning, and Course Satisfaction across Course Formats.
201713
14 201712
15
The real estate investment handbook
200512
16 198711
17
THE FREQUENCY AND INTENSITY OF EXPERIENCEIN ONLINE BANKING USE
20128
18 20056
19 19846
20 20144

About Daniel Singer

Daniel Singer is a scholar working on Cardiology and Cardiovascular Medicine, Information Systems and Management, Organizational Behavior and Human Resource Management, Finance and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 498 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Acute Myocardial Infarction Research (3 papers), Technology Adoption and User Behaviour (3 papers), HIV/AIDS Research and Interventions (2 papers), Housing Market and Economics (2 papers), Ion channel regulation and function (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (146 citations), Rehabilitation (32 citations), Automotive Engineering (42 citations), Industrial and Manufacturing Engineering (32 citations) and Information Systems and Management (21 citations). Daniel Singer has collaborated with scholars based in United States, Switzerland and Malawi. Frequent co-authors include Adam J. Singer, Mirko Meboldt, Leora Klapper, Christoph Klahn, Henry C. Thode, Gautam R. Shroff, H. Pendell Meyers, Kristen Meyers, Kenneth W. Dodd and Jesse Kane. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, The American Journal of Emergency Medicine, Academic Emergency Medicine, Journal of Emergency Medicine and Annals of Emergency Medicine.

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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