Ashwin Belle

994 total citations
28 papers, 643 citations indexed

About

Ashwin Belle is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Ashwin Belle has authored 28 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 12 papers in Biomedical Engineering and 8 papers in Surgery. Recurrent topics in Ashwin Belle's work include Non-Invasive Vital Sign Monitoring (7 papers), Heart Rate Variability and Autonomic Control (7 papers) and ECG Monitoring and Analysis (6 papers). Ashwin Belle is often cited by papers focused on Non-Invasive Vital Sign Monitoring (7 papers), Heart Rate Variability and Autonomic Control (7 papers) and ECG Monitoring and Analysis (6 papers). Ashwin Belle collaborates with scholars based in United States, Netherlands and Norway. Ashwin Belle's co-authors include Kayvan Najarian, Fatemeh Navidi, Daniel Beard, S. M. Reza Soroushmehr, Thiagarajan Raghuram, Kevin R. Ward, Sardar Ansari, Mark Kon, Wenan Chen and Charles Cockrell and has published in prestigious journals such as PLoS ONE, BioMed Research International and Journal of Neurotrauma.

In The Last Decade

Ashwin Belle

27 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashwin Belle United States 12 143 135 122 122 91 28 643
Giuseppe Fico Spain 16 163 1.1× 46 0.3× 115 0.9× 64 0.5× 43 0.5× 85 878
Álvaro Alesanco Spain 18 70 0.5× 304 2.3× 153 1.3× 261 2.1× 85 0.9× 53 889
Alramzana Nujum Navaz United Arab Emirates 10 43 0.3× 153 1.1× 74 0.6× 157 1.3× 88 1.0× 24 487
Julian Varghese Germany 16 127 0.9× 98 0.7× 196 1.6× 38 0.3× 38 0.4× 102 972
Vassilis Kilintzis Greece 14 83 0.6× 231 1.7× 85 0.7× 95 0.8× 152 1.7× 57 759
Maryam Panahiazar United States 14 174 1.2× 166 1.2× 347 2.8× 52 0.4× 341 3.7× 36 1.2k
Girmaw Abebe Tadesse United States 9 37 0.3× 109 0.8× 166 1.4× 57 0.5× 46 0.5× 38 564
Firdaus Firdaus Indonesia 18 50 0.3× 437 3.2× 199 1.6× 143 1.2× 264 2.9× 123 1.0k
William A. Yasnoff United States 14 171 1.2× 111 0.8× 53 0.4× 30 0.2× 38 0.4× 24 905
Jocelyne Fayn France 18 48 0.3× 587 4.3× 78 0.6× 160 1.3× 112 1.2× 79 857

Countries citing papers authored by Ashwin Belle

Since Specialization
Citations

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

Fields of papers citing papers by Ashwin Belle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwin Belle

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Belle. A scholar is included among the top collaborators of Ashwin Belle 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 Ashwin Belle. Ashwin Belle 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.
Belle, Ashwin, et al.. (2023). Prediction of episode of hemodynamic instability using an electrocardiogram based analytic: a retrospective cohort study. BMC Anesthesiology. 23(1). 324–324. 3 indexed citations
2.
Schmitzberger, Florian, et al.. (2022). Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform. Critical Care Explorations. 4(5). e0693–e0693. 4 indexed citations
3.
Belle, Ashwin, et al.. (2020). A Continuous Real-Time Analytic for Predicting Instability in Acute Care Rapid Response Team Activations. International journal of medical and health sciences. 14(11). 380–387. 2 indexed citations
4.
Tiba, Mohamad Hakam, Brendan M. McCracken, Sardar Ansari, et al.. (2017). Novel Noninvasive Method of Cerebrovascular Blood Volume Assessment Using Brain Bioimpedance. Journal of Neurotrauma. 34(22). 3089–3096. 9 indexed citations
5.
Belle, Ashwin, Sardar Ansari, Maxwell Spadafore, et al.. (2016). A Signal Processing Approach for Detection of Hemodynamic Instability before Decompensation. PLoS ONE. 11(2). e0148544–e0148544. 18 indexed citations
6.
Ansari, Sardar, et al.. (2016). Suppression of false arrhythmia alarms in the ICU: a machine learning approach. Physiological Measurement. 37(8). 1186–1203. 12 indexed citations
7.
Belle, Ashwin, Thiagarajan Raghuram, S. M. Reza Soroushmehr, et al.. (2015). Big Data Analytics in Healthcare. BioMed Research International. 2015. 1–16. 278 indexed citations
8.
Wu, Jie Ying, et al.. (2014). Bone segmentation and 3D visualization of CT images for traumatic pelvic injuries. International Journal of Imaging Systems and Technology. 24(1). 29–38. 11 indexed citations
9.
Razi, Abolfazl, Fatemeh Afghah, Ashwin Belle, Kevin R. Ward, & Kayvan Najarian. (2014). Blood loss severity prediction using game theoretic based feature selection. 10. 776–780. 9 indexed citations
10.
Belle, Ashwin, et al.. (2013). Actual Brain Midline Detection using Level Set Segmentation and Window Selection. 122–126.
11.
Belle, Ashwin, Mark Kon, & Kayvan Najarian. (2013). Biomedical Informatics for Computer‐Aided Decision Support Systems: A Survey. The Scientific World JOURNAL. 2013(1). 769639–769639. 38 indexed citations
12.
Ji, Soo-Yeon, Ashwin Belle, Kevin R. Ward, et al.. (2013). Heart rate variability analysis during central hypovolemia using wavelet transformation. Journal of Clinical Monitoring and Computing. 27(3). 289–302. 13 indexed citations
13.
Chen, Wenan, Ashwin Belle, Charles Cockrell, Kevin R. Ward, & Kayvan Najarian. (2013). Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images. Journal of Visualized Experiments. 25 indexed citations
14.
Belle, Ashwin, et al.. (2013). A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis. The Scientific World JOURNAL. 2013(1). 896056–896056. 48 indexed citations
15.
Belle, Ashwin, et al.. (2013). Automated Intracranial Pressure Prediction Using Multiple Features Sources. 9. 1–4. 5 indexed citations
16.
Belle, Ashwin, et al.. (2012). An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram. Computational and Mathematical Methods in Medicine. 2012. 1–12. 44 indexed citations
17.
Belle, Ashwin, et al.. (2011). A physiological signal processing system for optimal engagement and attention detection. VCU Scholars Compass (Virginia Commonwealth University). 555–561. 15 indexed citations
18.
Ansari, Sardar, et al.. (2011). Reduction of periodic motion artifacts from impedance plethysmography. 27. 540–547. 2 indexed citations
19.
Ansari, Sardar, Ashwin Belle, Kayvan Najarian, & Kevin R. Ward. (2010). Impedance plethysmography on the arms: Respiration monitoring. 19. 471–472. 9 indexed citations
20.
Lamers, R.J.S., et al.. (1995). Primary Malignant Lymphoma of the Heart: CT and MRI Features. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 162(6). 533–534. 6 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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