Christopher Schölzel
Impact in
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- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
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- Emotion and Mood Recognition
- Sleep and Work-Related Fatigue
Papers in
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- Modeling and Simulation Systems 6
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- Heart Rate Variability and Autonomic Control 3
- ECG Monitoring and Analysis 3
- Co-authors
- Shen‐Hsing Annabel Chen (1 shared paper)Dominique Makowski (1 shared paper)Jan C. Brammer (1 shared paper)Zen Juen Lau (1 shared paper)Hung Pham (1 shared paper)Tam Pham (1 shared paper)Gernot Ernst (6 shared papers)Didier Stricker (1 shared paper)
In The Last Decade
Christopher Schölzel
12 papers receiving 829 citations
Christopher Schölzel's Hit Papers
Peers
Comparison fields: 5 of 110
- Cardiology and Cardiovascular Medicine 356
- Experimental and Cognitive Psychology 170
- Cognitive Neuroscience 244
- Human-Computer Interaction 32
- Social Psychology 109
Countries citing papers authored by Christopher Schölzel
This map shows the geographic impact of Christopher Schölzel'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 Christopher Schölzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Schölzel more than expected).
Fields of papers citing papers by Christopher Schölzel
This network shows the impact of papers produced by Christopher Schölzel. 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 Christopher Schölzel. The network helps show where Christopher Schölzel may publish in the future.
Co-authors
The 12 scholars most cited alongside Christopher Schölzel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | NeuroKit2: A Python toolbox for neurophysiological signal processing Hit paper breakdown → | 2021 | 762 |
| 2 | 2019 | 30 | |
| 3 | 2016 | 10 | |
| 4 | 2014 | 9 | |
| 5 | 2020 | 8 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 3 | |
| 8 | 2017 | 3 | |
| 9 | 2015 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2022 | 0 |
About Christopher Schölzel
Christopher Schölzel is a scholar working on Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, Management Science and Operations Research, Molecular Biology and Software, having authored 13 papers that have together received 840 indexed citations. Recurring topics across this work include Modeling and Simulation Systems (6 papers), Simulation Techniques and Applications (4 papers), Heart Rate Variability and Autonomic Control (3 papers), Gene Regulatory Network Analysis (3 papers), ECG Monitoring and Analysis (3 papers), Hand Gesture Recognition Systems (1 paper), Model-Driven Software Engineering Techniques (1 paper) and Engineering and Information Technology (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (356 citations), Experimental and Cognitive Psychology (170 citations), Cognitive Neuroscience (244 citations), Human-Computer Interaction (32 citations) and Social Psychology (109 citations). Christopher Schölzel has collaborated with scholars based in Germany, Norway and Singapore. Frequent co-authors include Shen‐Hsing Annabel Chen, Dominique Makowski, Jan C. Brammer, Zen Juen Lau, Hung Pham, Tam Pham, Gernot Ernst, Didier Stricker, Seiichi Uchida and Markus Weber. Their work appears in journals such as PLoS ONE, Behavior Research Methods, Frontiers in Cardiovascular Medicine, npj Systems Biology and Applications and Frontiers in Physiology.
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.