Mark Potse

4.2k total citations
105 papers, 2.3k citations indexed

About

Mark Potse is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark Potse has authored 105 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Cardiology and Cardiovascular Medicine, 21 papers in Molecular Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark Potse's work include Cardiac electrophysiology and arrhythmias (89 papers), Cardiac Arrhythmias and Treatments (36 papers) and ECG Monitoring and Analysis (27 papers). Mark Potse is often cited by papers focused on Cardiac electrophysiology and arrhythmias (89 papers), Cardiac Arrhythmias and Treatments (36 papers) and ECG Monitoring and Analysis (27 papers). Mark Potse collaborates with scholars based in Netherlands, France and Switzerland. Mark Potse's co-authors include Alain Vinet, Bruno‐Pierre Dubé, R.M. Gulrajani, J. Richer, Ruben Coronel, André C. Linnenbank, Jacques M.T. de Bakker, Rolf Krause, Angelo Auricchio and Tobias Opthof and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Journal of Computational Physics.

In The Last Decade

Mark Potse

102 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Potse Netherlands 25 2.1k 518 244 164 141 105 2.3k
Chris P. Bradley New Zealand 18 808 0.4× 290 0.6× 182 0.7× 197 1.2× 87 0.6× 44 1.2k
Jason D. Bayer France 22 1.5k 0.7× 312 0.6× 219 0.9× 215 1.3× 207 1.5× 50 1.9k
Martin J. Bishop United Kingdom 30 2.2k 1.1× 338 0.7× 431 1.8× 390 2.4× 302 2.1× 127 2.6k
Anton J. Prassl Austria 25 1.6k 0.8× 184 0.4× 330 1.4× 419 2.6× 176 1.2× 54 2.0k
Hermenegild Arevalo United States 21 1.4k 0.7× 292 0.6× 373 1.5× 228 1.4× 282 2.0× 57 1.8k
Emilio Macchi Italy 23 950 0.5× 319 0.6× 165 0.7× 107 0.7× 125 0.9× 56 1.3k
Axel Loewe Germany 22 1.4k 0.7× 178 0.3× 144 0.6× 241 1.5× 91 0.6× 158 1.7k
Rafael J. Ramírez United States 22 2.2k 1.1× 1.0k 2.0× 101 0.4× 71 0.4× 384 2.7× 36 2.5k
Oleg Aslanidi United Kingdom 24 1.3k 0.6× 426 0.8× 154 0.6× 95 0.6× 174 1.2× 86 1.6k
Takashi Ashihara Japan 22 1.0k 0.5× 472 0.9× 66 0.3× 103 0.6× 205 1.5× 77 1.3k

Countries citing papers authored by Mark Potse

Since Specialization
Citations

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

Fields of papers citing papers by Mark Potse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Potse

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Potse. A scholar is included among the top collaborators of Mark Potse 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 Mark Potse. Mark Potse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bukhari, Syed Hassaan Ahmed, Carlos Sánchez, José Esteban Ruiz, et al.. (2022). Monitoring of Serum Potassium and Calcium Levels in End-Stage Renal Disease Patients by ECG Depolarization Morphology Analysis. Sensors. 22(8). 2951–2951. 4 indexed citations
2.
Bukhari, Syed Hassaan Ahmed, Julia Ramírez, Pablo Laguna, et al.. (2020). Characterization of T Wave Amplitude, Duration and Morphology Changes During Hemodialysis: Relationship With Serum Electrolyte Levels and Heart Rate. IEEE Transactions on Biomedical Engineering. 68(8). 2467–2478. 14 indexed citations
3.
Potse, Mark, et al.. (2020). Feasibility of Whole-Heart Electrophysiological Models with Near-Cellular Resolution. Computing in cardiology. 3 indexed citations
6.
Potse, Mark, et al.. (2020). Solving the ECGI problem with known locations of scar regions. Computing in cardiology. 1 indexed citations
7.
Bukhari, Syed Hassaan Ahmed, Mark Potse, Julia Ramírez, et al.. (2019). Transmural Ventricular Heterogeneities Play a Major Role in Determining T-Wave Morphology at Different Extracellular Potassium Levels. Zaguan (University of Zaragoza Repository). 11 indexed citations
8.
Haı̈ssaguerre, Michel, Mélèze Hocini, Josselin Duchâteau, et al.. (2019). The Spectrum of Idiopathic Ventricular Fibrillation and J-Wave Syndromes. Cardiac Electrophysiology Clinics. 11(4). 699–709. 9 indexed citations
9.
Bear, Laura, et al.. (2019). Analysis of Signal-Averaged Electrocardiogram Performance for Body Surface Recordings. Computing in cardiology. 3 indexed citations
10.
Cochet, Hubert, et al.. (2019). In-Silico Evaluation of an Iterative Pace-Mapping Technique to Guide Catheter Ablation of Ventricular Ectopy. Computing in cardiology. 1 indexed citations
11.
Potse, Mark. (2019). Inducibility of Atrial Fibrillation Depends Chaotically on Ionic Model Parameters. Computing in cardiology. 1 indexed citations
12.
13.
Potse, Mark, Ali Gharaviri, Simone Pezzuto, et al.. (2018). Anatomically-Induced Fibrillation in a 3D Model of the Human Atria. Computing in cardiology. 5 indexed citations
14.
Kania, M., et al.. (2017). Prediction of the Exit Site of Ventricular Tachycardia Based on Different ECG Lead Systems. Computing in cardiology. 6 indexed citations
15.
16.
Potse, Mark, et al.. (2017). A Three-dimensional Computational Model of Action Potential Propagation through a Network of Individual Cells.. Computing in cardiology. 7 indexed citations
17.
Chamorro-Servent, Judit, Laura Bear, Josselin Duchâteau, et al.. (2016). Do we need to enforce the homogeneous Neumann condition on the torso for solving the inverse electrographic problem?. Computing in cardiology. 1 indexed citations
18.
Kroon, Wilco, Joost Lumens, Mark Potse, et al.. (2015). In vivo electromechanical assessment of heart failure patients with prolonged QRS duration. Heart Rhythm. 12(6). 1259–1267. 24 indexed citations
19.
Potse, Mark & Nico Kuijpers. (2010). Simulation of fractionated electrograms at low spatial resolution in large-scale heart models. Computing in Cardiology. 849–852. 3 indexed citations
20.
Comtois, Philippe, Mark Potse, & Alain Vinet. (2010). Approche multi-échelle appliqué à la modélisation de l’activité électrique du coeur. médecine/sciences. 26(1). 57–64. 2 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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