Sirisha Rambhatla

661 total citations
22 papers, 271 citations indexed

About

Sirisha Rambhatla is a scholar working on Artificial Intelligence, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sirisha Rambhatla has authored 22 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Epidemiology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sirisha Rambhatla's work include Sparse and Compressive Sensing Techniques (3 papers), COVID-19 epidemiological studies (2 papers) and Surgical Simulation and Training (2 papers). Sirisha Rambhatla is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), COVID-19 epidemiological studies (2 papers) and Surgical Simulation and Training (2 papers). Sirisha Rambhatla collaborates with scholars based in United States, Canada and United Kingdom. Sirisha Rambhatla's co-authors include Yan Liu, Chuizheng Meng, Loc Trinh, Michael Tsang, Sungyong Seo, Karishma Sharma, Yan Liu, Jarvis Haupt, Cyrus Shahabi and Xingguo Li and has published in prestigious journals such as IEEE Transactions on Signal Processing, Journal of Medical Internet Research and Surgery.

In The Last Decade

Sirisha Rambhatla

18 papers receiving 262 citations

Peers

Countries citing papers authored by Sirisha Rambhatla

Since Specialization

Citations

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

Fields of papers citing papers by Sirisha Rambhatla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirisha Rambhatla

This figure shows the co-authorship network connecting the top 25 collaborators of Sirisha Rambhatla. A scholar is included among the top collaborators of Sirisha Rambhatla 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 Sirisha Rambhatla. Sirisha Rambhatla 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

#	Work	Indexed citations
1	Forecasting Waitlist Trajectories for Patients With Metabolic Dysfunction–Associated Steatohepatitis Cirrhosis: A Neural Network Competing Risk Analysis 2026 ·Journal of Medical Internet Research ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Sirisha Rambhatla, (unknown)	0
2	Opinion: Mental health research: to augment or not to augment 2025 ·Frontiers in Psychiatry ·(unknown), (unknown), (unknown), Apurv Soni, Sirisha Rambhatla, Reza Samavi, Rakesh Jetly, Andrew J. Greenshaw, (unknown), (unknown), Sridhar Krishnan, (unknown)	3
3	Leveraging large language models for automated depression screening 2025 ·PLOS Digital Health ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Reza Samavi, Rakesh Jetly, Yanbo Zhang, Bo Cao, Sirisha Rambhatla, Sridhar Krishnan, Venkat Bhat	0
4	Responsible adoption of multimodal artificial intelligence in health care: promises and challenges 2025 ·The Lancet Digital Health ·(unknown), (unknown), Sirisha Rambhatla, Matthieu Komorowski, Diana Ferro, Peter Lewis, (unknown), Nawar Shara, (unknown), Anthony Chang, Muhammad Mamdani, Mamatha Bhat	0
5	Medical Misinformation in AI-Assisted Self-Diagnosis: Development of a Method (EvalPrompt) for Analyzing Large Language Models 2025 ·JMIR Formative Research ·(unknown), (unknown), (unknown), (unknown), Venkat Bhat, Sirisha Rambhatla	6
6	Domain-guided Masked Autoencoders for Unique Player Identification 2024 ·(unknown), (unknown), Sirisha Rambhatla, Yuhao Chen, Alexander Wong, John Zelek, David A. Clausi	0
7	Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation 2023 ·Jinman Park, (unknown), (unknown), (unknown), Sirisha Rambhatla, Paul Fieguth	6
8	Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data 2022 ·ACM Transactions on Spatial Algorithms and Systems ·Sirisha Rambhatla, (unknown), (unknown), Cyrus Shahabi, Yan Liu	14
9	I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Sirisha Rambhatla, Zhengping Che, Yan Liu	3
10	Artificial Intelligence Applications in Urology 2021 ·Urologic Clinics of North America ·(unknown), (unknown), Sidney Roberts, Sirisha Rambhatla, Giovanni Cacciamani, Prokar Dasgupta, Andrew J. Hung	10
11	Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning 2021 ·Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu	3
12	DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning. 2021 ·PubMed ·Sirisha Rambhatla, Samantha Huang, Loc Trinh, Mengfei Zhang, (unknown), (unknown), (unknown), Haig A Yenikomshian, Justin Gillenwater, Yan Liu	2
13	Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes 2021 ·Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu	70
14	Road to automating robotic suturing skills assessment: Battling mislabeling of the ground truth 2021 ·Surgery ·Andrew J. Hung, Sirisha Rambhatla, (unknown), (unknown), (unknown), Jessica H. Nguyen, Yan Liu	11
15	Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling 2021 ·Chuizheng Meng, Sirisha Rambhatla, Yan Liu	87
16	A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging 2020 ·IEEE Transactions on Signal Processing ·Sirisha Rambhatla, Xingguo Li, (unknown), Jarvis Haupt	5
17	How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions 2020 ·Neural Information Processing Systems ·Michael Tsang, Sirisha Rambhatla, Yan Liu	2
18	Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. 2020 ·arXiv (Cornell University) ·Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, (unknown), Yan Liu	37
19	A dictionary-based generalization of robust PCA Part I: Study of theoretical properties 2019 ·arXiv (Cornell University) ·Sirisha Rambhatla, Xingguo Li, (unknown), Jarvis Haupt	1
20	Robust PCA via Dictionary Based Outlier Pursuit 2018 ·Xingguo Li, (unknown), Sirisha Rambhatla, Yangyang Xu, Jarvis Haupt	3

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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