2026 Daniel Mosse: 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	57	3898	3788	1847	1781	279	10507

Daniel Mosse publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Daniel Mosse sits on this spectrum.

32 publications 991+

This scientist: 279 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Daniel Mosse D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel Mosse sits on this spectrum.

30 D-Index 131+

This scientist: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Daniel Mosse is affiliated with the University of Pittsburgh in the United States. Their research primarily focuses on areas within computer science and engineering, with notable contributions to computer networks and communications, control and systems engineering, and artificial intelligence.

The scientist's work has been extensively published in various academic venues, including:

Annals of Telecommunications
IEEE Transactions on Network and Service Management
Zenodo (CERN European Organization for Nuclear Research)
Computer Networks
IEEE Transactions on Dependable and Secure Computing

Several recent papers reflect the scope and topics of their research. These include:

"A survey on intrusion detection and prevention systems in digital substations" (2020, Computer Networks)
"On the Performance of GRASP-Based Feature Selection for CPS Intrusion Detection" (2021, IEEE Transactions on Network and Service Management)
"An extended assessment of metaheuristics-based feature selection for intrusion detection in CPS perception layer" (2022, Annals of Telecommunications)
"ERENO: A Framework for Generating Realistic IEC-61850 Intrusion Detection Datasets for Smart Grids" (2023, IEEE Transactions on Dependable and Secure Computing)
"Intelligent colocation of HPC workloads" (2021, Journal of Parallel and Distributed Computing)

Their collaborative network includes frequent coauthors such as Diego Passos, Silvio E. Quincozes, Célio Albuquerque, Luiz Satoru Ochi, and Vinicius Figueiredo dos Santos. The frequency of these collaborations highlights a consistent engagement with peers in related research areas.

Mosse's research spans a number of specialized topics including:

Network Security and Intrusion Detection
Smart Grid Security and Resilience
Anomaly Detection Techniques and Applications
Advanced Malware Detection Techniques
Internet Traffic Analysis and Secure E-voting
Wireless Networks and Protocols
Cloud Computing and Resource Management

The main fields of study represented in their body of work are:

Computer Science
Engineering

Within these, subfields addressed include:

Computer Networks and Communications
Control and Systems Engineering
Artificial Intelligence
Electrical and Electronic Engineering
Signal Processing

Best Publications

Dynamic and aggressive scheduling techniques for power-aware real-time systems

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez

657
Citations
Power-aware scheduling for periodic real-time tasks

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez

646
Citations
The effects of energy management on reliability in real-time embedded systems

Dakai Zhu;R. Melhem;D. Mosse

431
Citations
Optimal reward-based scheduling for periodic real-time tasks

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez

316
Citations
Determining optimal processor speeds for periodic real-time tasks with different power characteristics

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez

291
Citations
Fault-tolerance through scheduling of aperiodic tasks in hard real-time multiprocessor systems

S. Ghosh;R. Melhem;D. Mosse

283
Citations
Maximizing the system value while satisfying time and energy constraints

C. A. Rusu;R. Melhem;D. Mossé

278
Citations
Increasing PCM main memory lifetime

Alexandre P. Ferreira;Miao Zhou;Santiago Bock;Bruce Childers

257
Citations
Energy aware scheduling for distributed real-time systems

R. Mishra;N. Rastogi;Dakai Zhu;D. Mosse

227
Citations
The interplay of power management and fault recovery in real-time systems

R. Melhem;D. Mosse;E. Elnozahy

217
Citations
Fault-Tolerant Rate-Monotonic Scheduling

Sunondo Ghosh;Rami Melhem;Daniel Mossé;Joydeep Sen Sarma

187
Citations
Seamless Integration of Heterogeneous Devices and Access Control in Smart Homes

Ji Eun Kim;George Boulos;John Yackovich;Tassilo Barth

166
Citations
Multiple-resource periodic scheduling problem: how much fairness is necessary?

Dakai Zhu;D. Mosse;R. Melhem

158
Citations
Providing a bidirectional abstraction for unidirectional ad hoc networks

V. Ramasubramanian;R. Chandra;D. Mosse

151
Citations
Practical PACE for embedded systems

Ruibin Xu;Chenhai Xi;Rami Melhem;Daniel Moss

130
Citations
Adaptive scheduling server for power-aware real-time tasks

Pedro Mejia-Alvarez;Eugene Levner;Daniel Mossé

127
Citations
Multi-version scheduling in rechargeable energy-aware real-time systems

Cosmin Rusu;Rami Melhem;Daniel Mossé

125
Citations
Maximizing rewards for real-time applications with energy constraints

Cosmin Rusu;Rami Melhem;Daniel Mossé

119
Citations
Energy-efficient policies for embedded clusters

Ruibin Xu;Dakai Zhu;Cosmin Rusu;Rami Melhem

118
Citations
An efficient RMS admission control and its application to multiprocessor scheduling

S. Lauzac;R. Melhem;D. Mosse

116
Citations
Seamless integration of heterogeneous devices and access control in smart homes and its evaluation

Ji Eun Kim;Tassilo Barth;George Boulos;John Yackovich

11
Citations

Frequent Co-Authors

Rami Melhem University of Pittsburgh

Bruce R. Childers University of Pittsburgh

Dakai Zhu The University of Texas at San Antonio

Hakan Aydin George Mason University

Taieb Znati University of Pittsburgh

Ashok K. Agrawala University of Maryland, College Park

Panos K. Chrysanthis University of Pittsburgh

Shi-Kuo Chang University of Pittsburgh

Elmootazbellah Nabil Elnozahy The University of Texas at Austin

Jon Crowcroft University of Cambridge

External Links

Personal website of Daniel Mosse Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

As interest in studying Computer Science in the USA continues to grow, many students are exploring a wide range of online degrees and career options. Flexible online programs make it possible to begin or advance your tech career from anywhere, often at a significantly lower cost.

Those looking for value may want to consider the cheapest online colleges, which offer accredited bachelor's programs at an affordable rate. For students interested in a broader set of technical fields, online engineering degree programs provide training in areas such as software, electrical, or mechanical engineering.

Career advancement doesn’t always stop in technical roles. Professionals aiming for leadership may pursue a cheapest executive mba online to gain management skills relevant to tech-driven industries. Similarly, those drawn to tech-heavy information fields can benefit from a library degree focused on digital archiving, data management, or research.

By exploring these online degrees, students and professionals can find flexible, affordable pathways that align with their career goals in computer science and related fields.