2026 Yelena Yesha: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	36	11155	10838	4624	4427	226	6344

Overview

Yelena Yesha is affiliated with the University of Miami in the United States and has contributed extensively to interdisciplinary research spanning medicine and computer science. Their work integrates applications in artificial intelligence, medical imaging, healthcare, and blockchain technologies.

The main fields of study for Yesha include:

Medicine (57 publications)
Computer Science (33 publications)

Within these fields, notable subfields of study consist of:

Artificial Intelligence (21 publications)
Radiology, Nuclear Medicine and Imaging (21 publications)
Internal Medicine (13 publications)
Cardiology and Cardiovascular Medicine (7 publications)
Information Systems (6 publications)

Their research covers various key topics, among which are:

Venous Thromboembolism Diagnosis and Management (26 publications)
COVID-19 diagnosis using AI (22 publications)
Radiomics and Machine Learning in Medical Imaging (16 publications)
AI in cancer detection (12 publications)
Blockchain Technology Applications and Security (8 publications)
Adversarial Robustness in Machine Learning (8 publications)
Privacy-Preserving Technologies in Data (8 publications)

Frequent coauthors working alongside Yesha include:

Minerva Mayorga-Carlin
John D. Sorkin
Brajesh K. Lal
Tariq Siddiqui
Hilary Hayssen

Regular publication venues where Yesha's work appears are:

arXiv (Cornell University) - 12 publications
Journal of Vascular Surgery Venous and Lymphatic Disorders - 8 publications
Journal of Vascular Surgery - 3 publications
Digital Government Research and Practice - 2 publications
Computer - 2 publications

Some of the recent papers authored or coauthored by Yesha include:

"Systematic review of venous thromboembolism risk categories derived from Caprini score," 2022, Journal of Vascular Surgery Venous and Lymphatic Disorders
"Blockchains for Government," 2020, Digital Government Research and Practice
"Data-driven PSO-CatBoost machine learning model to predict the compressive strength of CFRP-confined circular concrete specimens," 2024, Thin-Walled Structures
"Natural Language Processing for Breast Imaging: A Systematic Review," 2023, Diagnostics
"Ability of Caprini and Padua risk-assessment models to predict venous thromboembolism in a nationwide Veterans Affairs study," 2023, Journal of Vascular Surgery Venous and Lymphatic Disorders

Best Publications

Updating and Querying Databases that Track Mobile Units

Ouri Wolfson;A. Prasad Sistla;Sam Chamberlain;Yelena Yesha

606
Citations
Keyframe-based video summarization using Delaunay clustering

Padmavathi Mundur;Yong Rao;Yelena Yesha

394
Citations
GSD: a novel group-based service discovery protocol for MANETS

D. Chakraborty;A. Joshi;Y. Yesha;T. Finin

372
Citations
Toward Distributed service discovery in pervasive computing environments

D. Chakraborty;A. Joshi;Y. Yesha;T. Finin

356
Citations
Medium access control protocols for multimedia traffic in wireless networks

I.F. Akyildiz;J. McNair;L.C. Martorell;R. Puigjaner

259
Citations
Electronic Commerce: Technical, Business, and Legal Issues

Nabil R. Adam;Oktay Dogramaci;Aryya Gangopadhyay;Yelena Yesha

254
Citations
Service composition for mobile environments

Dipanjan Chakraborty;Anupam Joshi;Tim Finin;Yelena Yesha

216
Citations
Relational transducers for electronic commerce

Serge Abiteboul;Victor Vianu;Brad Fordham;Yelena Yesha

202
Citations
On data management in pervasive computing environments

F. Perich;A. Joshi;T. Finin;Y. Yesha

155
Citations
A pervasive computing system for the operating room of the future

Sheetal Agarwal;Anupam Joshi;Tim Finin;Yelena Yesha

153
Citations
Data Mining: Next Generation Challenges and Future Directions

Hillol Kargupta;Anupam Joshi;Krishnamoorthy Sivakumar;Yelena Yesha

146
Citations
A Reactive Service Composition Architecture for Pervasive Computing Environments

Dipanjan Chakraborty;Filip Perich;Anupam Joshi;Timothy W. Finin

142
Citations
A Data Intensive Reputation Management Scheme for Vehicular Ad Hoc Networks

Anand Patwardhan;Anupam Joshi;Tim Finin;Yelena Yesha

121
Citations
On the Structure, Properties and Utility of Internal Corporate Blogs

Pranam Kolari;Tim Finin;Kelly A. Lyons;Yelena Yesha

107
Citations
Globalizing business, education, culture through the Internet

Nabil Adam;Baruch Awerbuch;Jacob Slonim;Peter Wegner

102
Citations
Automating Cloud Services Life Cycle through Semantic Technologies

Karuna P. Joshi;Yelena Yesha;Tim Finin

99
Citations
Strategic directions in electronic commerce and digital libraries: towards a digital agora

Nabil Adam;Yelena Yesha

96
Citations
Improving Word Similarity by Augmenting PMI with Estimates of Word Polysemy

Lushan Han;Tim Finin;Paul McNamee;Anupam Joshi

90
Citations
Warehousing and mining Web logs

Karuna P. Joshi;Anupam Joshi;Yelena Yesha;Raghu Krishnapuram

90
Citations
A clickstream-based collaborative filtering personalization model: towards a better performance

Dong-Ho Kim;Vijayalakshmi Atluri;Michael Bieber;Nabil Adam

89
Citations
Footprint handover rerouting protocol for low earth orbit satellite networks

Hüseyin Uzunalioğlu;Ian F. Akyildiz;Yelena Yesha;Wei Yen

89
Citations

Frequent Co-Authors

Anupam Joshi University of Maryland, Baltimore County

Tim Finin University of Maryland, Baltimore County

Dipanjan Chakraborty IBM (United States)

Ouri Wolfson University of Illinois at Chicago

Lalana Kagal MIT

A. Prasad Sistla University of Illinois at Chicago

Mark Chignell University of Toronto

James R. Cordy Queen's University

Serge Abiteboul École Normale Supérieure

Ian F. Akyildiz Technology Innovation Institute

External Links

Personal website of Yelena Yesha Google Scholar page

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