2026 Vladimir Stankovic: 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	45	7280	7069	436	431	302	7166

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

7280

7069

436

431

302

7166

Overview

Vladimir Stankovic is affiliated with the University of Strathclyde in the United Kingdom. Their research spans multiple disciplines within engineering and computer science, with a strong emphasis on artificial intelligence and electrical and electronic engineering.

Their main fields of study include:

Engineering
Computer Science

Within these fields, Stankovic has contributed to several subfields such as:

Artificial Intelligence
Electrical and Electronic Engineering
Computer Networks and Communications
Geophysics
Control and Systems Engineering

The primary topics covered by their work consist of:

Smart Grid Energy Management
Seismology and Earthquake Studies
Landslides and related hazards
Energy Load and Power Forecasting
Smart Grid Security and Resilience
Building Energy and Comfort Optimization
Seismic Imaging and Inversion Techniques

Stankovic has published extensively in renowned venues, including:

Sensors
SSRN Electronic Journal
Applied Energy
arXiv (Cornell University)
IEEE Transactions on Geoscience and Remote Sensing

Their recent publications include:

A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation, 2023, Sensors
Non-intrusive load disaggregation solutions for very low-rate smart meter data, 2020, Applied Energy
Transfer learning for multi-objective non-intrusive load monitoring in smart building, 2022, Applied Energy
An active learning framework for the low-frequency Non-Intrusive Load Monitoring problem, 2023, Applied Energy
Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning, 2020, Entropy

Frequent collaborators in their research include:

Lina Stanković
Stella Pytharouli
Samuel Cheng
Apostolos Vavouris
Djordje Batic

Best Publications

An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study.

David Murray;Lina Stankovic;Vladimir Stankovic

460
Citations
Non-Intrusive Load Disaggregation Using Graph Signal Processing

Kanghang He;Lina Stankovic;Jing Liao;Vladimir Stankovic

307
Citations
On a Training-Less Solution for Non-Intrusive Appliance Load Monitoring Using Graph Signal Processing

Bochao Zhao;Lina Stankovic;Vladimir Stankovic

229
Citations
A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation

Unknown

197
Citations
Scalable Video Multicast Using Expanding Window Fountain Codes

D. Vukobratovic;V. Stankovic;D. Sejdinovic;L. Stankovic

171
Citations
On code design for the Slepian-Wolf problem and lossless multiterminal networks

V. Stankovic;A.D. Liveris;Zixiang Xiong;C.N. Georghiades

163
Citations
Compressive Sampling of Binary Images

Vladimir Stankovic;Lina Stankovic;Samuel Cheng

157
Citations
Distributed joint source-channel coding of video using raptor codes

Qian Xu;V. Stankovic;Zixiang Xiong

140
Citations
Non-intrusive appliance load monitoring using low-resolution smart meter data

Jing Liao;Georgia Elafoudi;Lina Stankovic;Vladimir Stankovic

138
Citations
Transferability of Neural Network Approaches for Low-rate Energy Disaggregation

David Murray;Lina Stankovic;Vladimir Stankovic;Srdjan Lulic

132
Citations
Cooperative diversity for wireless ad hoc networks

V. Stankovic;A. Host-Madsen;Zixiang Xiong

129
Citations
Design of Slepian-Wolf codes by channel code partitioning

V. Stankovic;A.D. Liveris;Zixiang Xiong;C.N. Georghiades

122
Citations
Can non-intrusive load monitoring be used for identifying an appliance's anomalous behaviour?

Haroon Rashid;Pushpendra Singh;Vladimir Stankovic;Lina Stankovic

122
Citations
Improving Event-Based Non-Intrusive Load Monitoring Using Graph Signal Processing

Bochao Zhao;Kanghang He;Lina Stankovic;Vladimir Stankovic

121
Citations
Optimized error protection of scalable image bit streams [advances in joint source-channel coding for images]

R. Hamzaoui;V. Stankovic;Zixiang Xiong

117
Citations
Measuring the energy intensity of domestic activities from smart meter data

L. Stankovic;V. Stankovic;J. Liao;C. Wilson

116
Citations
A data management platform for personalised real-time energy feedback

David Murray;Jing Liao;Lina Stankovic;Vladimir Stankovic

99
Citations
Real-time error protection of embedded codes for packet erasure and fading channels

V.M. Stankovic;R. Hamzaoui;Zixiang Xiong

97
Citations
Wyner-Ziv coding for the half-duplex relay channel

Zhixin Liu;V. Stankovic;Zixiang Xiong

96
Citations
On Multiterminal Source Code Design

Yang Yang;V. Stankovic;Zixiang Xiong;Wei Zhao

94
Citations
Fast algorithm for rate-based optimal error protection of embedded codes

V. Stankovic;R. Hamzaoui;D. Saupe

89
Citations

Frequent Co-Authors

Zixiang Xiong Texas A&M University

Gene Cheung York University

Wei Zhao Shenzhen Institutes of Advanced Technology

Cedomir Stefanovic Aalborg University

Jacob Chakareski New Jersey Institute of Technology

Dietmar Saupe University of Konstanz

Costas N. Georghiades Texas A&M University

Pavel Cheben National Research Council Canada

Ivan Andonovic University of Strathclyde

John Thompson University of Edinburgh

External Links

Personal website of Vladimir Stankovic Google Scholar page

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