Mathias Meine

2.9k total citations
125 papers, 1.8k citations indexed

About

Mathias Meine is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Neurology. According to data from OpenAlex, Mathias Meine has authored 125 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Cardiology and Cardiovascular Medicine, 16 papers in Surgery and 10 papers in Neurology. Recurrent topics in Mathias Meine's work include Cardiac pacing and defibrillation studies (105 papers), Cardiac Arrhythmias and Treatments (74 papers) and Cardiac electrophysiology and arrhythmias (44 papers). Mathias Meine is often cited by papers focused on Cardiac pacing and defibrillation studies (105 papers), Cardiac Arrhythmias and Treatments (74 papers) and Cardiac electrophysiology and arrhythmias (44 papers). Mathias Meine collaborates with scholars based in Netherlands, Germany and United States. Mathias Meine's co-authors include Pieter A. Doevendans, Maarten J. Cramer, Henneke Versteeg, Susanne S. Pedersen, Geert E. Leenders, Kevin Vernooy, Margot D. Bogaard, Frits W. Prinzen, Frits W. Prinzen and Marc A. Vos and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and European Heart Journal.

In The Last Decade

Mathias Meine

118 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathias Meine Netherlands	23	1.7k	197	196	124	100	125	1.8k
Bengt Herweg United States	23	2.8k 1.6×	248 1.3×	313 1.6×	270 2.2×	89 0.9×	101	2.9k
Andreas Schuchert Germany	17	1.3k 0.8×	257 1.3×	126 0.6×	239 1.9×	86 0.9×	121	1.4k
Albert Meijer Netherlands	23	1.7k 1.0×	217 1.1×	224 1.1×	114 0.9×	88 0.9×	67	1.8k
Yaariv Khaykin Canada	33	3.1k 1.8×	407 2.1×	102 0.5×	141 1.1×	86 0.9×	98	3.2k
Sergio Valsecchi Italy	27	2.2k 1.3×	381 1.9×	184 0.9×	73 0.6×	241 2.4×	136	2.4k
Gery Tomassoni United States	26	3.0k 1.8×	406 2.1×	150 0.8×	88 0.7×	68 0.7×	62	3.1k
Ulrika Birgersdotter‐Green United States	20	1.6k 0.9×	198 1.0×	131 0.7×	69 0.6×	85 0.8×	117	1.7k
Claude Kouakam France	22	1.4k 0.8×	457 2.3×	60 0.3×	50 0.4×	117 1.2×	69	1.5k
Nicasio Pérez‐Castellano Spain	19	1.4k 0.8×	293 1.5×	53 0.3×	176 1.4×	51 0.5×	79	1.5k
Stephen C. Vlay United States	21	1.0k 0.6×	219 1.1×	73 0.4×	81 0.7×	55 0.6×	77	1.2k

Countries citing papers authored by Mathias Meine

Since Specialization

Citations

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

Fields of papers citing papers by Mathias Meine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Meine

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

All Works

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20 of 20 papers shown

Guglielmo, Marco, et al.. (2025). From Clinic to Cloud: Efficacy of AI‐Assisted Remote Monitoring of Patients With Implantable Cardiac Devices. Pacing and Clinical Electrophysiology. 48(10). 1106–1113. 1 indexed citations

Danad, Ibrahim, Birgitta K. Velthuis, Saima Mushtaq, et al.. (2023). Cardiac CT in CRT as a Singular Imaging Modality for Diagnosis and Patient-Tailored Management. Journal of Clinical Medicine. 12(19). 6212–6212.

Dural, Muhammet, Alexander H. Maass, Mathias Meine, et al.. (2023). Comparison of the relation of the ESC 2021 and ESC 2013 definitions of left bundle branch block with clinical and echocardiographic outcome in cardiac resynchronization therapy. Journal of Cardiovascular Electrophysiology. 34(4). 1006–1014. 6 indexed citations

Dural, Muhammet, Mathias Meine, Alexander H. Maass, et al.. (2023). Association of vectorcardiographic T-wave area with clinical and echocardiographic outcomes in cardiac resynchronization therapy. EP Europace. 26(1). 1 indexed citations

Leur, Rutger R van de, Antonius van Stipdonk, Rutger J. Hassink, et al.. (2022). Electrocardiogram-based deep learning improves outcome prediction following cardiac resynchronization therapy. European Heart Journal. 44(8). 680–692. 24 indexed citations

Sammani, Arjan, Rutger R van de Leur, Michiel T.H.M. Henkens, et al.. (2022). Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks. EP Europace. 24(10). 1645–1654. 23 indexed citations

Everdingen, Wouter M. van, Kevin Vernooy, Bastiaan Geelhoed, et al.. (2021). Does mechanical dyssynchrony in addition to QRS area ensure sustained response to cardiac resynchronization therapy?. European Heart Journal - Cardiovascular Imaging. 23(12). 1628–1635. 5 indexed citations

Maaten, Jozine M. ter, Pieter Martens, Kevin Vernooy, et al.. (2021). Aetiology of Heart Failure, Rather than Sex, Determines Reverse LV Remodelling Response to CRT. Journal of Clinical Medicine. 10(23). 5513–5513. 1 indexed citations

Stipdonk, Antonius van, Filip Plešinger, Mariëlle Kloosterman, et al.. (2021). Reduction in the QRS area after cardiac resynchronization therapy is associated with survival and echocardiographic response. Journal of Cardiovascular Electrophysiology. 32(3). 813–822. 27 indexed citations

10.

Zweerink, Alwin, Robin Nijveldt, Alexander H. Maass, et al.. (2021). Segment length in cine (SLICE) strain analysis: a practical approach to estimate potential benefit from cardiac resynchronization therapy. Journal of Cardiovascular Magnetic Resonance. 23(1). 4–4. 2 indexed citations

11.

Zweerink, Alwin, Cornelis P. Allaart, Bastiaan Geelhoed, et al.. (2020). The value of septal rebound stretch analysis for the prediction of volumetric response to cardiac resynchronization therapy. European Heart Journal - Cardiovascular Imaging. 22(1). 37–45. 13 indexed citations

12.

Tuinenburg, Anton E., Henk J. Ritsema van Eck, Marek Malík, et al.. (2020). Short‐Term Variability of the QT Interval Can be Used for the Prediction of Imminent Ventricular Arrhythmias in Patients With Primary Prophylactic Implantable Cardioverter Defibrillators. Journal of the American Heart Association. 9(23). e018133–e018133. 11 indexed citations

13.

Stipdonk, Antonius van, Hester M. den Ruijter, Maarten J. Cramer, et al.. (2020). Heart Size Corrected Electrical Dyssynchrony and Its Impact on Sex-Specific Response to Cardiac Resynchronization Therapy. Circulation Arrhythmia and Electrophysiology. 14(1). e008452–e008452. 8 indexed citations

14.

Stipdonk, Antonius van, Mariëlle Kloosterman, Sophie Vanbelle, et al.. (2019). Evaluating Electrocardiography-Based Identification of Cardiac Resynchronization Therapy Responders Beyond Current Left Bundle Branch Block Definitions. JACC. Clinical electrophysiology. 6(2). 193–203. 15 indexed citations

15.

Theuns, Dominic A.M.J., Lieselot van Erven, Carel C. de Cock, et al.. (2017). Nationwide Longitudinal Follow-Up of Riata Leads Under Advisory at 3 Annual Screenings. JACC. Clinical electrophysiology. 3(8). 887–893. 4 indexed citations

16.

Versteeg, Henneke, et al.. (2014). Disease-Specific Health Status as a Predictor of Mortality in Patients with Heart Failure: A Systematic Literature Review and Meta-Analysis of Prospective Cohort Studies. European Journal of Heart Failure. 16(4). 384–393. 45 indexed citations

17.

Versteeg, Henneke, et al.. (2013). Discrepancy Between Echocardiographic and Patient-Reported Health Status Response to Cardiac Resynchronization Therapy: Results of the PSYHEART-CRT Study. European Journal of Heart Failure. 16(2). 227–234. 13 indexed citations

18.

Bogaard, Margot D., Patrick Houthuizen, Frank Bracke, et al.. (2011). Baseline Left Ventricular d P /d t max Rather than the Acute Improvement in d P /d t max Predicts Clinical Outcome in Patients with Cardiac Resynchronization Therapy. European Journal of Heart Failure. 13(10). 1126–1132. 69 indexed citations

19.

Boeck, Bart W.L. De, Arco J. Teske, Mathias Meine, et al.. (2009). Septal Rebound Stretch Reflects the Functional Substrate to Cardiac Resynchronization Therapy and Predicts Volumetric and Neurohormonal Response. European Journal of Heart Failure. 11(9). 863–871. 108 indexed citations

20.

Boeck, Bart W.L. De, Mathias Meine, Geert E. Leenders, et al.. (2008). Practical and Conceptual Limitations of Tissue Doppler Imaging to Predict Reverse Remodelling in Cardiac Resynchronisation Therapy. European Journal of Heart Failure. 10(3). 281–290. 55 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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