Daniel Guldenring

1.1k citations
70 papers · 765 indexed · h-index 17

Daniel Guldenring

63 papers receiving 746 citations

Peers

Daniel Guldenring
Comparison fields: 5 of 130
  • Health Informatics 50
  • Cardiology and Cardiovascular Medicine 495
  • Family Practice 22
  • Medical Laboratory Technology 14
  • Cognitive Neuroscience 118
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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-authorship network

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
#Work
1 202231
2 20218
3 20196
4 20190
5 20192
6 20196
7 20173
8 201752
9 201611
10 201612
11 201630
12 20153
13 201522
14 20155
15
ECG recording sites for improving signal-to-noise ratio during atrial depolarisation
20142
16
Utility and Accuracy of Online Schematics That Illustrate ECG Electrode Positions
20142
17
Internet based ST Map software: A web service, a decision support system and an educational tool
20140
18 201320
19
Eye tracking in the assessment of electrocardiogram interpretation techniques
20127
20
Estimation accuracy of a reduced lead system during simulated ischemia
20114

About Daniel Guldenring

Daniel Guldenring is a scholar working on Cardiology and Cardiovascular Medicine, Computational Mathematics, Medical Laboratory Technology, Cognitive Neuroscience and Health Information Management, having authored 70 papers that have together received 765 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (47 papers), Cardiac electrophysiology and arrhythmias (28 papers), Healthcare Technology and Patient Monitoring (13 papers), EEG and Brain-Computer Interfaces (10 papers), Heart Rate Variability and Autonomic Control (10 papers), Non-Invasive Vital Sign Monitoring (9 papers), Phonocardiography and Auscultation Techniques (9 papers) and Cardiac Imaging and Diagnostics (8 papers). The work is most often cited by research in Health Informatics (50 citations), Cardiology and Cardiovascular Medicine (495 citations), Family Practice (22 citations), Medical Laboratory Technology (14 citations) and Cognitive Neuroscience (118 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, Cathal Breen, Aaron Peace, Kieran Moran, Michael J. Daly and Stephen J Leslie. Their work appears in journals such as Journal of Electrocardiology, IEEE Access, European Heart Journal Acute Cardiovascular Care, Artificial Intelligence in Medicine and Critical Care Nursing Clinics of North America.

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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