H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 57 Citations 13,433 192 World Ranking 1946 National Ranking 1071
Electronics and Electrical Engineering H-index 50 Citations 11,345 130 World Ranking 1175 National Ranking 540

Research.com Recognitions

Awards & Achievements

2013 - IEEE Fellow For contributions to design and optimization of on-chip communication for embedded multicore systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • Operating system

Radu Marculescu mostly deals with Network on a chip, System on a chip, Embedded system, Energy consumption and Distributed computing. His Network on a chip research is under the purview of Computer network. His studies in System on a chip integrate themes in fields like Traffic analysis, Integrated circuit design, Quality of service, Reduction and Data compression.

The various areas that Radu Marculescu examines in his Embedded system study include Scheduling, Processor scheduling, Schedule, Fixed-priority pre-emptive scheduling and Computation. Radu Marculescu has included themes like Multiprocessing, Logic synthesis, FPGA prototype and Implementation in his Energy consumption study. His Distributed computing research is multidisciplinary, relying on both Routing, Overhead, Deterministic routing and Branch and bound.

His most cited work include:

  • Outstanding Research Problems in NoC Design: System, Microarchitecture, and Circuit Perspectives (598 citations)
  • Energy- and performance-aware mapping for regular NoC architectures (570 citations)
  • Energy-aware mapping for tile-based NoC architectures under performance constraints (512 citations)

What are the main themes of his work throughout his whole career to date?

Radu Marculescu focuses on Network on a chip, Embedded system, Distributed computing, System on a chip and Energy consumption. As part of the same scientific family, Radu Marculescu usually focuses on Network on a chip, concentrating on Computer architecture and intersecting with Design space exploration. Radu Marculescu has researched Embedded system in several fields, including Fault tolerance, Power management, Efficient energy use and Multi-core processor.

His research integrates issues of Control theory and Frequency scaling in his study of Power management. While working in this field, Radu Marculescu studies both Energy consumption and Energy management. His research related to Network packet, Multipath routing and Link-state routing protocol might be considered part of Computer network.

He most often published in these fields:

  • Network on a chip (23.57%)
  • Embedded system (22.50%)
  • Distributed computing (18.57%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (11.79%)
  • Deep learning (6.79%)
  • Distributed computing (18.57%)

In recent papers he was focusing on the following fields of study:

Artificial intelligence, Deep learning, Distributed computing, Network science and Machine learning are his primary areas of study. His Artificial intelligence study incorporates themes from Theoretical computer science, Data mining, Metric, Energy consumption and Systems design. The study incorporates disciplines such as Design space exploration and Turing machine in addition to Distributed computing.

His Artificial neural network research integrates issues from Convolutional neural network, Telecommunications network, Host, Computational biology and Network on a chip. His Network on a chip research incorporates themes from Backpropagation, Support vector machine, Queueing theory, Real-time computing and Queue. His work deals with themes such as Embedded system and Wireline, which intersect with Reduction.

Between 2015 and 2021, his most popular works were:

  • On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems (46 citations)
  • Wireless NoC for VFI-Enabled Multicore Chip Design: Performance Evaluation and Design Trade-Offs (29 citations)
  • Wireless NoC and Dynamic VFI Codesign: Energy Efficiency Without Performance Penalty (28 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Computer network

His primary scientific interests are in Embedded system, Artificial intelligence, Deep learning, Computer architecture and Wireless. He combines subjects such as Control system, Scalability, Design paradigm, Multi-core processor and Reinforcement learning with his study of Embedded system. His biological study spans a wide range of topics, including Distributed computing, Machine learning, Microbiome and Edge device.

His Computer architecture study integrates concerns from other disciplines, such as Multicore systems and Traffic analysis. His Artificial neural network research is multidisciplinary, incorporating elements of System on a chip, Computational biology, Host and Network on a chip. His System on a chip research is multidisciplinary, incorporating perspectives in Backpropagation and Wireline.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Outstanding Research Problems in NoC Design: System, Microarchitecture, and Circuit Perspectives

R. Marculescu;U.Y. Ogras;Li-Shiuan Peh;N.E. Jerger.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2009)

862 Citations

Energy- and performance-aware mapping for regular NoC architectures

Jingcao Hu;R. Marculescu.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2005)

859 Citations

Energy-aware mapping for tile-based NoC architectures under performance constraints

Jingcao Hu;Radu Marculescu.
asia and south pacific design automation conference (2003)

775 Citations

DyAD - smart routing for networks-on-chip

Jingcao Hu;Radu Marculescu.
design automation conference (2004)

694 Citations

"It's a small world after all": NoC performance optimization via long-range link insertion

U.Y. Ogras;R. Marculescu.
international conference on hardware/software codesign and system synthesis (2006)

491 Citations

Key research problems in NoC design: a holistic perspective

Radu Marculescu;Jingcao Hu;Umit Y. Ogras.
international conference on hardware/software codesign and system synthesis (2005)

465 Citations

Electronic textiles: a platform for pervasive computing

D. Marculescu;R. Marculescu;N.H. Zamora;P. Stanley-Marbell.
Proceedings of the IEEE (2003)

402 Citations

Exploiting the Routing Flexibility for Energy/Performance Aware Mapping of Regular NoC Architectures

Jingcao Hu;Radu Marculescu.
design, automation, and test in europe (2003)

381 Citations

Energy-aware communication and task scheduling for network-on-chip architectures under real-time constraints

Jingcao Hu;Radu Marculescu.
design, automation, and test in europe (2004)

350 Citations

On-chip communication architecture exploration: A quantitative evaluation of point-to-point, bus, and network-on-chip approaches

Hyung Gyu Lee;Naehyuck Chang;Umit Y. Ogras;Radu Marculescu.
ACM Transactions on Design Automation of Electronic Systems (2008)

315 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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