Daniel D. Singer

757 citations
32 papers · 520 · h-index 12

Impact in

Papers in

Daniel D. Singer

28 papers receiving 498 citations

Peers

Daniel D. Singer
Comparison fields: 5 of 117
  • Cardiology and Cardiovascular Medicine 167
  • Rehabilitation 32
  • Automotive Engineering 41
  • Radiology, Nuclear Medicine and Imaging 69
  • Emergency Medicine 24
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Klaus Lang Germany
Charlotte Phelps Australia
Karim Bayoumy Qatar
Uday Kumar United States
Murat Kurt United States
Shane O’Sullivan Brazil
Luigi Pugliese Italy
Benjamin Baker United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel D. Singer

Since Specialization
Citations

This map shows the geographic impact of Daniel D. 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 D. 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 D. Singer more than expected).

Fields of papers citing papers by Daniel D. Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202187
2 202081
3 201653
4 201433
5 200331
6 202128
7 201727
8 201324
9 201923
10 201520
11 200816
12 201515
13 201712
14
Course Convenience, Perceived Learning, and Course Satisfaction across Course Formats.
201712
15 198711
16
THE FREQUENCY AND INTENSITY OF EXPERIENCEIN ONLINE BANKING USE
20128
17 20056
18 20226
19 19846
20 20054

About Daniel D. Singer

Daniel D. Singer is a scholar working on Information Systems and Management, Cardiology and Cardiovascular Medicine, Organizational Behavior and Human Resource Management, Finance and Electrochemistry, having authored 32 papers that have together received 520 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Technology Adoption and User Behaviour (3 papers), Acute Myocardial Infarction Research (3 papers), Electrochemical Analysis and Applications (2 papers), Ion channel regulation and function (2 papers), Customer Service Quality and Loyalty (2 papers), Housing Market and Economics (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (167 citations), Rehabilitation (32 citations), Automotive Engineering (41 citations), Radiology, Nuclear Medicine and Imaging (69 citations) and Emergency Medicine (24 citations). Daniel D. Singer has collaborated with scholars based in United States, Switzerland and Malawi. Frequent co-authors include Adam J. Singer, Mirko Meboldt, Christoph Klahn, Leora F. Klapper, Henry C. Thode, Alexander Bracey, Stephen W. Smith, Harvey Pendell Meyers, Kristen E. Meyers and Kenneth W. Dodd. Their work appears in journals such as Academic Emergency Medicine, Journal of Molecular and Cellular Cardiology, The American Journal of Emergency Medicine, Annals of Emergency Medicine and Journal 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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