2026 Eduardo Tovar: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	41	8820	8570	21	20	392	7500
Electronics and Electrical Engineering	41	4281	4110	21	20	370	7238

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

8820

8570

392

7500

Electronics and Electrical Engineering

4281

4110

370

7238

Computer Science

D-Index

Citations

7500

World Ranking

8820

National Ranking

Electronics and Electrical Engineering

D-Index

Citations

7238

World Ranking

4281

National Ranking

Overview

Eduardo Tovar is affiliated with the Instituto Superior de Engenharia do Porto in Portugal. Their research spans multiple fields, primarily focusing on engineering and computer science.

Their work has been published extensively in journals and conference venues with notable presence in:

Journal of Systems Architecture
arXiv (Cornell University)
IEEE Internet of Things Journal
IEEE Transactions on Vehicular Technology
IEEE Networking Letters

Tovar's research covers several subfields within engineering and computer science, including:

Computer Networks and Communications
Electrical and Electronic Engineering
Hardware and Architecture
Control and Systems Engineering
Automotive Engineering

Their main research topics encompass:

Traffic control and management
Real-Time Systems Scheduling
Vehicular Ad Hoc Networks (VANETs)
UAV Applications and Optimization
Autonomous Vehicle Technology and Safety
Parallel Computing and Optimization Techniques
Distributed systems and fault tolerance

Some of the recent papers authored or co-authored by Eduardo Tovar include:

"Joint Flight Cruise Control and Data Collection in UAV-Aided Internet of Things: An Onboard Deep Reinforcement Learning Approach" (2020), published in IEEE Internet of Things Journal
"Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT" (2022), published in IEEE Internet of Things Journal
"Joint Communication Scheduling and Velocity Control in Multi-UAV-Assisted Sensor Networks: A Deep Reinforcement Learning Approach" (2021), published in IEEE Transactions on Vehicular Technology
"Online Velocity Control and Data Capture of Drones for the Internet of Things: An Onboard Deep Reinforcement Learning Approach" (2020), published in IEEE Vehicular Technology Magazine
"Onboard Deep Deterministic Policy Gradients for Online Flight Resource Allocation of UAVs" (2020), published in IEEE Networking Letters

Eduardo Tovar collaborates frequently with other researchers, including:

Kai Li
Ricardo Severino
Lúıs Almeida
Pedro M. Santos
Ênio Vasconcelos Filho

Best Publications

Static-Priority Scheduling over Wireless Networks with Multiple Broadcast Domains

N. Pereira;B. Andersson;E. Tovar;A. Rowe

379
Citations
A comprehensive simulation study of slotted CSMA/CA for IEEE 802.15.4 wireless sensor networks

A. Koubaa;M. Alves;E. Tovar

345
Citations
Real-time fieldbus communications using Profibus networks

E. Tovar;F. Vasques

328
Citations
Multiprocessor Scheduling with Few Preemptions

B. Andersson;E. Tovar

268
Citations
GTS allocation analysis in IEEE 802.15.4 for real-time wireless sensor networks

Anis Koubaa;Mário Alves;Eduardo Tovar

236
Citations
Modeling and Worst-Case Dimensioning of Cluster-Tree Wireless Sensor Networks

Anis Koubaa;Mario Alves;Eduardo Tovar

196
Citations
i-GAME: an implicit GTS allocation mechanism in IEEE 802.15.4 for time-sensitive wireless sensor networks

A. Koubaa;M. Alves;E. Tovar

196
Citations
TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks

Anis Koubâa;André Cunha;Mário Alves;Eduardo Tovar

167
Citations
Improving Quality-of-Service in Wireless Sensor Networks by Mitigating “Hidden-Node Collisions”

A. Koubaa;R. Severino;M. Alves;E. Tovar

148
Citations
A Simulation Model for the IEEE 802.15.4 protocol: Delay/Throughput Evaluation of the GTS Mechanism

P. Jurcik;A. Koubaa;M. Alves;E. Tovar

145
Citations
Co-RPL: RPL Routing for Mobile Low Power Wireless Sensor Networks using Corona Mechanism

Olfa Gaddour;Anis Koubaa;Raghuraman Rangarajan;Omar Cheikhrouhou

144
Citations
WiDom: A Dominance Protocol for Wireless Medium Access

N. Pereira;B. Andersson;E. Tovar

127
Citations
Cycle time properties of the PROFIBUS timed-token protocol

E. Tovar;F. Vasques

119
Citations
An implicit GTS allocation mechanism in IEEE 802.15.4 for time-sensitive wireless sensor networks: theory and practice

Anis Koubâa;Mário Alves;Eduardo Tovar;André Cunha

118
Citations
Cyber-physical systems clouds

Rihab Chaâri;Fatma Ellouze;Anis Koubâa;Basit Qureshi

118
Citations
Energy Efficient Legitimate Wireless Surveillance of UAV Communications

Kai Li;Razvan Christian Voicu;Salil S. Kanhere;Wei Ni

112
Citations
Dronemap Planner: A Service-Oriented Cloud-Based Management System for the Internet-of-Drones

Anis Koubâa;Basit Qureshi;Mohamed-Foued Sriti;Azza Allouch

109
Citations
IEEE 802.15.4e in a Nutshell: Survey and Performance Evaluation

Harrison Kurunathan;Ricardo Severino;Anis Koubaa;Eduardo Tovar

101
Citations
IEEE 802.15.4 for Wireless Sensor Networks: A Technical Overview

Anis Koubâa;Mário Alves;Eduardo Tovar

99
Citations
A service-oriented Cloud-based management system for the Internet-of-Drones

Anis Koubaa;Basit Qureshi;Mohamed-Foued Sriti;Yasir Javed

98
Citations

Frequent Co-Authors

Mário Alves Instituto Superior de Engenharia do Porto

Anis Koubâa Prince Sultan University

Wei Ni Edith Cowan University

Luis Almeida University of Porto

Ragunathan Rajkumar Carnegie Mellon University

Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence

Alan Burns University of York

Salil S. Kanhere University of New South Wales

Enrico Bini University of Turin

Paulo B. Lourenço University of Minho

External Links

Personal website of Eduardo Tovar Google Scholar page

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