Ramun Schmid

766 citations
31 papers · 292 · h-index 11

Impact in

Papers in

Ramun Schmid

29 papers receiving 272 citations

Peers

Ramun Schmid
Comparison fields: 5 of 47
  • Cardiology and Cardiovascular Medicine 239
  • Cognitive Neuroscience 128
  • Medical Laboratory Technology 7
  • Biomedical Engineering 118
  • Signal Processing 12
Replace Lucie Maršánová with:
Lucie Maršánová Czechia
Runnan He China
Nadi Sadr Australia
Xinge Jiang China
M. Kania Poland
Rohan Banerjee India
Deboleena Sadhukhan India
Lukáš Smital Czechia
Omar Escalona United Kingdom
Ramun Schmid relative to Lucie Maršánová Czechia Lucie Maršánová's profile →
Citations per field
00.5×3.8×
Lucie Maršánová · 1×
Citations per year

Countries citing papers authored by Ramun Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Ramun Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ramun Schmid, 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 Ramun Schmid Line = papers co-authored together Ramun Schmid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201532
2 201725
3 201825
4 201623
5 201723
6 201616
7 201715
8 201814
9 201714
10 201814
11 201613
12 201510
13 20198
14
Lead quality monitoring for detection of the Optimal Snapshot Time to record resting ECG
20147
15 20167
16 20166
17 20206
18 20165
19
Classification of supraventricular and ventricular beats by QRS template matching and decision tree
20144
20 20254

About Ramun Schmid

Ramun Schmid is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Surgery and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 292 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (25 papers), Cardiac electrophysiology and arrhythmias (13 papers), EEG and Brain-Computer Interfaces (12 papers), Non-Invasive Vital Sign Monitoring (5 papers), Healthcare Technology and Patient Monitoring (4 papers), Phonocardiography and Auscultation Techniques (4 papers), Advanced Adaptive Filtering Techniques (2 papers) and Analog and Mixed-Signal Circuit Design (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (239 citations), Cognitive Neuroscience (128 citations), Medical Laboratory Technology (7 citations), Biomedical Engineering (118 citations) and Signal Processing (12 citations). Ramun Schmid has collaborated with scholars based in Bulgaria, Switzerland and Denmark. Frequent co-authors include Vessela Krasteva, Irena Jekova, Roger Abächerli, Remo Leber, Ivaylo Christov, Iana Simova, Christian Müller, Todor Stoyanov, Raphael Twerenbold and Tobias Reichlin. Their work appears in journals such as Sensors, PLoS ONE, Computer Methods and Programs in Biomedicine, Physiological Measurement and IEEE Transactions on Biomedical Engineering.

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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