Jatin Relan
About
Jatin Relan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Jatin Relan has authored 29 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jatin Relan's work include Cardiac electrophysiology and arrhythmias (19 papers), Cardiac Arrhythmias and Treatments (14 papers) and Cardiac pacing and defibrillation studies (8 papers). Jatin Relan is often cited by papers focused on Cardiac electrophysiology and arrhythmias (19 papers), Cardiac Arrhythmias and Treatments (14 papers) and Cardiac pacing and defibrillation studies (8 papers). Jatin Relan collaborates with scholars based in France, United Kingdom and Germany. Jatin Relan's co-authors include Maxime Sermesant, Nicholas Ayache, Hervé Delingette, Pierre Jaı̈s, Mélèze Hocini, Hubert Cochet, Phani Chinchapatnam, Michel Haı̈ssaguerre, Nicolas Derval and Kawal Rhode and has published in prestigious journals such as Radiology, IEEE Transactions on Biomedical Engineering and Medical Image Analysis.
In The Last Decade
Jatin Relan
28 papers receiving 761 citations
Peers
Jatin Relan
Orod Razeghi United Kingdom
Robert Blake United States
Karli Gillette Austria
Dongdong Deng China
Sohail Zahid United States
Charulatha Ramanathan United States
Farhad Pashakhanloo United States
Marina Strocchi United Kingdom
Fijoy Vadakkumpadan United States
Raja N. Ghanem United States
Citations per year, relative to Jatin Relan Jatin Relan (= 1×)
peers
Orod Razeghi
Countries citing papers authored by Jatin Relan
Since
Specialization
Citations
This map shows the geographic impact of Jatin Relan'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 Jatin Relan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jatin Relan more than expected).
Fields of papers citing papers by Jatin Relan
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Jatin Relan. 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 Jatin Relan. The network helps show where Jatin Relan may publish in the future.
Co-authorship network of co-authors of Jatin Relan
This figure shows the co-authorship network connecting the top 25 collaborators of Jatin Relan. A scholar is included among the top collaborators of Jatin Relan 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 Jatin Relan. Jatin Relan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Merino, José Luís, Steve Kim, Jatin Relan, et al.. (2024). PO-04-140 HIGH FREQUENCY-LOW AMPLITUDE ELECTROGRAMS IN DIRECTIONALLY OPPOSING RHYTHMS ARE REGIONALLY CONSISTENT AND DISCRIMINATE SITES OF ATRIAL TACHYCARDIA TERMINATION. Heart Rhythm. 21(5). S441–S441.
2.
Merino, José Luís, et al.. (2023). PO-04-228 DIFFERENTIATION OF HIGH FREQUENCY NEAR FIELD VS. FAR-FIELD POTENTIALS IN LOW VOLTAGE ZONES DURING SINUS RHYTHM IMPROVES DISCRIMINATION OF LOCAL SITES OF TERMINATION DURING VT. Heart Rhythm. 20(5). S578–S579.
3.
Merino, José Luís, et al.. (2023). PO-04-120 DIFFERENTIATION OF NEAR-FIELD FROM FAR-FIELD ELECTROGRAMS IN THE LOW-VOLTAGE REGION RECORDED DURING VENTRICULAR TACHYCARDIA IMPROVES DISCRIMINATION OF SITES OF ARRHYTHMIA ABLATION. Heart Rhythm. 20(5). S530–S531.
4.
Schulze, Walther H. W., Zhong Chen, Jatin Relan, et al.. (2016). ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone. Medical & Biological Engineering & Computing. 55(6). 979–990.
5.
Chen, Zhong, Jatin Relan, Manav Sohal, et al.. (2016). Biophysical Modeling Predicts Ventricular Tachycardia Inducibility and Circuit Morphology: A Combined Clinical Validation and Computer Modeling Approach. Journal of Cardiovascular Electrophysiology. 27(7). 851–860.
6.
Cochet, Hubert, Arnaud Denis, Yuki Komatsu, et al.. (2015). Automated Quantification of Right Ventricular Fat at Contrast-enhanced Cardiac Multidetector CT in Arrhythmogenic Right Ventricular Cardiomyopathy. Radiology. 275(3). 683–691.
7.
Margeta, Ján, Loïc Le Folgoc, Yuki Komatsu, et al.. (2015). Local late gadolinium enhancement features to identify the electrophysiological substrate of post-infarction ventricular tachycardia: a machine learning approach. Journal of Cardiovascular Magnetic Resonance. 17. P234–P234.
8.
Odening, Katja E., Bernd Jung, Corinna N. Lang, et al.. (2013). Spatial correlation of action potential duration and diastolic dysfunction in transgenic and drug-induced LQT2 rabbits. Heart Rhythm. 10(10). 1533–1541.
9.
Wong, Ken C. L., Jatin Relan, Linwei Wang, et al.. (2012). Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images. Lecture notes in computer science. 15(Pt 1). 617–624.
10.
Cochet, Hubert, Yuki Komatsu, Frédéric Sacher, et al.. (2012). Integration of Merged Delayed‐Enhanced Magnetic Resonance Imaging and Multidetector Computed Tomography for the Guidance of Ventricular Tachycardia Ablation: A Pilot Study. Journal of Cardiovascular Electrophysiology. 24(4). 419–426.
11.
Relan, Jatin, Mihaela Pop, Hervé Delingette, et al.. (2011). Personalization of a Cardiac Electrophysiology Model Using Optical Mapping and MRI for Prediction of Changes With Pacing. IEEE Transactions on Biomedical Engineering. 58(12). 3339–3349.
12.
Sermesant, Maxime, Radomír Chabiniok, Phani Chinchapatnam, et al.. (2011). Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation. Medical Image Analysis. 16(1). 201–215.
13.
Relan, Jatin, Phani Chinchapatnam, Maxime Sermesant, et al.. (2011). Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia. Interface Focus. 1(3). 396–407.
14.
Konukoğlu, Ender, Jatin Relan, Ulas Cilingir, et al.. (2011). Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to Eikonal-Diffusion models in cardiac electrophysiology. Progress in Biophysics and Molecular Biology. 107(1). 134–146.
15.
Pop, Mihaela, Maxime Sermesant, Jatin Relan, et al.. (2011). Construction of 3D MR image-based computer models of pathologic hearts, augmented with histology and optical fluorescence imaging to characterize action potential propagation. Medical Image Analysis. 16(2). 505–523.
16.
Relan, Jatin, Phani Chinchapatnam, Maxime Sermesant, et al.. (2010). Coupled Personalisation of Electrophysiology Models for Simulation of Induced Ischemic Ventricular Tachycardia. Lecture notes in computer science. 13(Pt 2). 420–428.
17.
Sermesant, Maxime, et al.. (2010). Interactive Real Time Simulation of Cardiac Radio-Frequency Ablation. Eurographics. 91–98.
18.
Relan, Jatin, et al.. (2009). Reproducible Extraction of Local and Global Parameters for Functional Analysis of the Left Ventricle in 4D MR Image Data. Methods of Information in Medicine. 48(2). 216–224.
19.
Relan, Jatin, Michael Groth, Kai Müllerleile, Heinz Handels, & Dennis Säring. (2009). 3D Segmentation of the Left Ventricle Combining Long- and Short-axis MR Images. Methods of Information in Medicine. 48(4). 340–343.
20.
Säring, Dennis, Jatin Relan, Michael Groth, Kai Müllerleile, & Heinz Handels. (2008). Combination of short- and longaxis MR image sequences for the 3D segmentation of the left ventricle.. PubMed. 136. 333–8.
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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