Ram Padmanabhan

538 total citations
17 papers, 375 citations indexed

About

Ram Padmanabhan is a scholar working on Control and Systems Engineering, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Ram Padmanabhan has authored 17 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Ram Padmanabhan's work include Iterative Learning Control Systems (4 papers), Advanced Control Systems Optimization (3 papers) and Gastroesophageal reflux and treatments (1 paper). Ram Padmanabhan is often cited by papers focused on Iterative Learning Control Systems (4 papers), Advanced Control Systems Optimization (3 papers) and Gastroesophageal reflux and treatments (1 paper). Ram Padmanabhan collaborates with scholars based in India, United States and United Kingdom. Ram Padmanabhan's co-authors include David Laws, A.J. Hildreth, Raj K. Goyal, Qian Sang, David Saunders, Stuart Lane, Andrew Craig Schofield, E. Kevin Heist, Jeremy N. Ruskin and Abhishek Maan and has published in prestigious journals such as IEEE Transactions on Automatic Control, The American Journal of Medicine and Anaesthesia.

In The Last Decade

Ram Padmanabhan

13 papers receiving 346 citations

Peers

Countries citing papers authored by Ram Padmanabhan

Since Specialization

Citations

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

Fields of papers citing papers by Ram Padmanabhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Padmanabhan

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

All Works

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17 of 17 papers shown

#	Title	Journal	Authors	Indexed citations
1	SeLECTS—Self-Limiting Epilepsy with Centrotemporal Spikes: Presence of ESES Correlates with Neuropsychological Regression		Ram Padmanabhan et al.	0
2	Multiple estimation models for discrete-time adaptive iterative learning control	International Journal of Systems Science	Ram Padmanabhan, Koshy George et al.	2
3	Analysis of Gradient Descent With Varying Step Sizes Using Integral Quadratic Constraints	IEEE Transactions on Automatic Control	Ram Padmanabhan, Peter Seiler	4
4	How Much Reserve Fuel: Quantifying the Maximal Energy Cost of System Disturbances		Ram Padmanabhan et al.	0
5	Discrete‐time design and applications of uncertainty and disturbance estimator	International Journal of Robust and Nonlinear Control	Ram Padmanabhan et al.	0
6	Second-Level Adaptation and Optimization for Multiple Model Adaptive Iterative Learning Control		Ram Padmanabhan, Koshy George et al.	2
7	A Novel Strategy with Multiple Models to Improve Performance of Adaptive Iterative Learning Control		Ram Padmanabhan, Koshy George et al.	2
8	A Copula-Driven Unsupervised Learning Framework for Anomaly Detection with Multivariate Heterogeneous Data		Ram Padmanabhan, Sanjeev Gurugopinath et al.	0
9	A Convolutional Neural Network Architecture for Camera Model Identification with Small Datasets		Ram Padmanabhan, Sanjeev Gurugopinath et al.	2
10	Prognostic value of coronary CTA vs. exercise treadmill testing: results from the Partners registry	European Heart Journal - Cardiovascular Imaging	Michael K. Cheezum, Márcio Sommer Bittencourt et al.	14
11	Impact of Myocardial Viability and Left Ventricular Lead Location on Clinical Outcome in Cardiac Resynchronization Therapy Recipients with Ischemic Cardiomyopathy	Journal of Cardiovascular Electrophysiology	Jagdesh Kandala, Gaurav A. Upadhyay et al.	30
12	Newer Anticoagulants in Cardiovascular Disease	Cardiology in Review	Abhishek Maan, Ram Padmanabhan et al.	22
13	A prospective, randomised controlled trial comparing the efficacy of pre‐oxygenation in the 20° head‐up vs supine position*	Anaesthesia	Stuart Lane, David Saunders et al.	79
14	A prospective, randomised, controlled study examining binaural beat audio and pre‐operative anxiety in patients undergoing general anaesthesia for day case surgery*	Anaesthesia	Ram Padmanabhan, A.J. Hildreth et al.	144
15	Renal dose dopamine--it's myth and the truth.	PubMed	Ram Padmanabhan	4
16	Atypical Ductal Hyperplasia in Stereotactic Breast Biopsies: Enhanced Accuracy of Diagnosis with the Mammotome	The Breast Journal	Megha Joshi, Ram Padmanabhan et al.	18
17	Neural circuits in swallowing and abdominal vagal afferent-mediated lower esophageal sphincter relaxation	The American Journal of Medicine	Raj K. Goyal, Ram Padmanabhan et al.	52

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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