Christopher Schölzel

1.3k total citations · 1 hit paper
12 papers, 717 citations indexed

About

Christopher Schölzel is a scholar working on Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine and Management Science and Operations Research. According to data from OpenAlex, Christopher Schölzel has authored 12 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Management Science and Operations Research. Recurrent topics in Christopher Schölzel's work include Modeling and Simulation Systems (6 papers), Simulation Techniques and Applications (4 papers) and ECG Monitoring and Analysis (3 papers). Christopher Schölzel is often cited by papers focused on Modeling and Simulation Systems (6 papers), Simulation Techniques and Applications (4 papers) and ECG Monitoring and Analysis (3 papers). Christopher Schölzel collaborates with scholars based in Germany, Norway and Netherlands. Christopher Schölzel's co-authors include Shen‐Hsing Annabel Chen, Jan C. Brammer, Dominique Makowski, Tam Pham, Hung Pham, Zen Juen Lau, Gernot Ernst, Alexander Goesmann, Markus Weber and Didier Stricker and has published in prestigious journals such as PLoS ONE, Frontiers in Physiology and Behavior Research Methods.

In The Last Decade

Christopher Schölzel

11 papers receiving 700 citations

Hit Papers

NeuroKit2: A Python toolbox for neurophysiological signal... 2021 2026 2022 2024 2021 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher Schölzel Germany 5 350 246 197 156 95 12 717
Jan C. Brammer Netherlands 4 360 1.0× 262 1.1× 203 1.0× 169 1.1× 107 1.1× 4 732
Zen Juen Lau Singapore 6 531 1.5× 395 1.6× 265 1.3× 243 1.6× 143 1.5× 13 1.1k
Nader Jafarnia Dabanloo Iran 16 451 1.3× 373 1.5× 190 1.0× 124 0.8× 61 0.6× 80 779
Toshitaka Yamakawa Japan 13 357 1.0× 227 0.9× 223 1.1× 159 1.0× 59 0.6× 59 922
Ataollah Abbasi Iran 13 190 0.5× 398 1.6× 107 0.5× 230 1.5× 59 0.6× 55 636
Adriana Arza Switzerland 14 278 0.8× 118 0.5× 264 1.3× 125 0.8× 78 0.8× 28 581
Matthias Frühwirth Austria 17 226 0.6× 152 0.6× 182 0.9× 126 0.8× 59 0.6× 28 712
Yoko Suzuki Japan 12 202 0.6× 250 1.0× 143 0.7× 179 1.1× 39 0.4× 41 665
Raul Fernandez Rojas Australia 15 162 0.5× 239 1.0× 228 1.2× 107 0.7× 135 1.4× 51 756
Marcello Bracale Italy 13 385 1.1× 176 0.7× 225 1.1× 89 0.6× 21 0.2× 20 742

Countries citing papers authored by Christopher Schölzel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Christopher Schölzel

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Schölzel. A scholar is included among the top collaborators of Christopher Schölzel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher Schölzel. Christopher Schölzel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
3.
Schölzel, Christopher, et al.. (2021). Characteristics of mathematical modeling languages that facilitate model reuse in systems biology: a software engineering perspective. npj Systems Biology and Applications. 7(1). 27–27. 7 indexed citations
4.
Makowski, Dominique, Tam Pham, Zen Juen Lau, et al.. (2021). NeuroKit2: A Python toolbox for neurophysiological signal processing. Behavior Research Methods. 53(4). 1689–1696. 671 indexed citations breakdown →
5.
Schölzel, Christopher, et al.. (2020). HRT assessment reviewed: a systematic review of heart rate turbulence methodology. Physiological Measurement. 41(8). 08TR01–08TR01. 8 indexed citations
6.
Schölzel, Christopher, et al.. (2020). An Understandable, Extensible, and Reusable Implementation of the Hodgkin-Huxley Equations Using Modelica. Frontiers in Physiology. 11. 583203–583203. 3 indexed citations
7.
Schölzel, Christopher. (2020). Modelica implementation of the Seidel-Herzel model of the human baroreflex. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Schölzel, Christopher, et al.. (2017). MoVE A Standalone Modelica Vector Graphics Editor. Linköping electronic conference proceedings. 132. 809–814. 2 indexed citations
9.
Schölzel, Christopher, et al.. (2017). Mo|E A Communication Service Between Modelica Compilers and Text Editors. Linköping electronic conference proceedings. 3 indexed citations
10.
Schölzel, Christopher, et al.. (2016). Can Electrocardiogram Classification be Applied to Phonocardiogram Data? :: An Analysis Using Recurrent Neural Networks. Computing in cardiology. 10 indexed citations
11.
Schölzel, Christopher, et al.. (2015). Modeling Biology in Modelica: The Human Baroreflex. Linköping electronic conference proceedings. 3 indexed citations
12.
Weber, Markus, Marcus Liwicki, Didier Stricker, Christopher Schölzel, & Seiichi Uchida. (2014). LSTM-Based Early Recognition of Motion Patterns. 3552–3557. 7 indexed citations

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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