2026 David S. Rosenblum: 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	59	3393	3297	1645	1586	222	15989

Research.com Recognitions

2010 - ACM Fellow For contributions to software testing and distributed systems, and for service to the software engineering community.
2006 - IEEE Fellow For contributions to scalable, distributed component- and event-based software systems.

Overview

David S. Rosenblum is affiliated with George Mason University in the United States. Their research focuses mainly on computer science and engineering, with a total of 31 publications in computer science and 9 in engineering.

The scientist's work spans several subfields, including:

Artificial Intelligence
Computer Vision and Pattern Recognition
Information Systems
Building and Construction
Transportation

Key topics addressed in their research encompass:

Traffic Prediction and Management Techniques
Recommender Systems and Techniques
Human Mobility and Location-Based Analysis
Video Surveillance and Tracking Methods
Adversarial Robustness in Machine Learning
Data Stream Mining Techniques
Advanced Software Engineering Methodologies

David S. Rosenblum has published extensively in various venues. The most frequent publication venues include:

arXiv (Cornell University)
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Big Data
IEEE Transactions on Software Engineering
IEEE Transactions on Dependable and Secure Computing

Recent papers authored or co-authored by Rosenblum include:

Directed Graph Convolutional Network, 2020, arXiv (Cornell University)
Fine-Grained Urban Flow Inference, 2020, IEEE Transactions on Knowledge and Data Engineering
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting, 2022, IEEE Transactions on Knowledge and Data Engineering
Predicting Urban Water Quality with Ubiquitous Data - A Data-driven Approach, 2020, IEEE Transactions on Big Data
Quantitative Verification for Monitoring Event-Streaming Systems, 2020, IEEE Transactions on Software Engineering

Frequent co-authors who have collaborated multiple times with Rosenblum include:

Yuxuan Liang
Kun Ouyang
Yu Zheng
Junbo Zhang
Ye Liu

David S. Rosenblum has received several awards recognizing their contributions to software engineering and distributed systems. These honors include:

ACM Fellow (2010) for contributions to software testing and distributed systems, and service to the software engineering community
IEEE Fellow (2006) for contributions to scalable, distributed component- and event-based software systems

Best Publications

Design and evaluation of a wide-area event notification service

Antonio Carzaniga;David S. Rosenblum;Alexander L. Wolf

2319
Citations
An architecture-based approach to self-adaptive software

P. Oreizy;M.M. Gorlick;R.N. Taylor;D. Heimhigner

1536
Citations
From action to activity

Ye Liu;Liqiang Nie;Li Liu;David S. Rosenblum

679
Citations
Achieving scalability and expressiveness in an Internet-scale event notification service

Antonio Carzaniga;David S. Rosenblum;Alexander L. Wolf

652
Citations
Modeling software architectures in the Unified Modeling Language

Nenad Medvidovic;David S. Rosenblum;David F. Redmiles;Jason E. Robbins

638
Citations
A practical approach to programming with assertions

D.S. Rosenblum

484
Citations
A language and environment for architecture-based software development and evolution

Nenad Medvidovic;David S. Rosenblum;Richard N. Taylor

440
Citations
TestTube: a system for selective regression testing

Yih-Farn Chen;David S. Rosenblum;Kiem-Phong Vo

430
Citations
A design framework for Internet-scale event observation and notification

David S. Rosenblum;Alexander L. Wolf

369
Citations
Action2Activity: recognizing complex activities from sensor data

Ye Liu;Liqiang Nie;Lei Han;Luming Zhang

357
Citations
Component metadata for software engineering tasks

Alessandro Orso;Mary Jean Harrold;David Rosenblum

293
Citations
Fortune teller: predicting your career path

Ye Liu;Luming Zhang;Liqiang Nie;Yan Yan

271
Citations
Context-aware mobile music recommendation for daily activities

Xinxi Wang;David Rosenblum;Ye Wang

269
Citations
Urban water quality prediction based on multi-task multi-view learning

Ye Liu;Yu Zheng;Yuxuan Liang;Shuming Liu

213
Citations
Recognizing complex activities by a probabilistic interval-based model

Li Liu;Li Cheng;Ye Liu;Yongpo Jia

210
Citations
Integrating architecture description languages with a standard design method

Jason E. Robbins;Nenad Medvidovic;David F. Redmiles;David S. Rosenblum

204
Citations
MMKG: Multi-Modal Knowledge Graphs

Ye Liu;Hui Li;Alberto Garcia-Duran;Mathias Niepert

203
Citations
Formal methods and testing: why the state-of-the art is not the state-of-the practice

David S. Rosenblum

201
Citations
Using component metacontent to support the regression testing of component-based software

A. Orso;M.J. Harrold;D. Rosenblum;G. Rothermel

195
Citations
Yeast: a general purpose event-action system

B. Krishnamurthy;D.S. Rosenblum

192
Citations
A historical perspective on runtime assertion checking in software development

Lori A. Clarke;David S. Rosenblum

176
Citations

Frequent Co-Authors

Alexander L. Wolf University of California, Santa Cruz

Sebastian Elbaum University of Virginia

Antonio Carzaniga Universita della Svizzera Italiana

Nenad Medvidovic University of Southern California

Sebastian Uchitel University of Buenos Aires

Gregg Rothermel North Carolina State University

Richard N. Taylor University of California, Irvine

Alessandro Orso Georgia Institute of Technology

Liqiang Nie Shandong University

Yennun Huang Research Center for Information Technology Innovation, Academia Sinica

External Links

Personal website of David S. Rosenblum Google Scholar page

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