Daniel Guldenring

1.2k citations
74 papers · 854 · h-index 18

Impact in

    • Artificial Intelligence in Healthcare and Education
    • ECG Monitoring and Analysis
    • Cardiac electrophysiology and arrhythmias
    • Heart Rate Variability and Autonomic Control
    • Atrial Fibrillation Management and Outcomes

Papers in

Daniel Guldenring

66 papers receiving 831 citations

Peers

Daniel Guldenring
Comparison fields: 5 of 119
  • Health Informatics 62
  • Cardiology and Cardiovascular Medicine 480
  • Family Practice 17
  • Medical Laboratory Technology 8
  • Cognitive Neuroscience 98
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Guldenring

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Guldenring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 201661
3 201754
4 201251
5 201450
6 201743
7 201633
8 202233
9 201229
10 201324
11 201524
12 201722
13 201322
14 201121
15 201019
16 201519
17 201518
18 201718
19 201217
20 201614

About Daniel Guldenring

Daniel Guldenring is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery, Cognitive Neuroscience and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 854 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (46 papers), Cardiac electrophysiology and arrhythmias (19 papers), Non-Invasive Vital Sign Monitoring (9 papers), Heart Rate Variability and Autonomic Control (9 papers), EEG and Brain-Computer Interfaces (8 papers), Healthcare Technology and Patient Monitoring (6 papers), Atrial Fibrillation Management and Outcomes (5 papers) and Phonocardiography and Auscultation Techniques (5 papers). The work is most often cited by research in Health Informatics (62 citations), Cardiology and Cardiovascular Medicine (480 citations), Family Practice (17 citations), Medical Laboratory Technology (8 citations) and Cognitive Neuroscience (98 citations). Daniel Guldenring has collaborated with scholars based in United Kingdom, Germany and Ireland. Frequent co-authors include Dewar Finlay, Raymond Bond, James McLaughlin, Chris Nugent, Alan Kennedy, Aaron Peace, Cathal Breen, Kieran Moran, Michael J. Daly and George Moore. Their work appears in journals such as Journal of Electrocardiology, European Heart Journal Acute Cardiovascular Care, IEEE Access, IEEE Transactions on Biomedical Engineering and Computer Methods and Programs in Biomedicine.

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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