D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 53 Citations 9,027 204 World Ranking 2522 National Ranking 1334

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • The Internet

His main research concerns Distributed computing, Scheduling, Real-time computing, Energy consumption and Earliest deadline first scheduling. His Distributed computing research includes themes of Schedule, Uniprocessor system and Wireless sensor network, Computer network. Daniel Mosse has researched Scheduling in several fields, including Fault tolerance, Multiprocessing and Computational complexity theory.

His research integrates issues of Software versioning and Power management in his study of Real-time computing. His work in Energy consumption tackles topics such as Energy management which are related to areas like Reliability, Voltage, Transient and Power control. The concepts of his Earliest deadline first scheduling study are interwoven with issues in Central processing unit and Fixed-priority pre-emptive scheduling.

His most cited work include:

  • Dynamic and aggressive scheduling techniques for power-aware real-time systems (449 citations)
  • Power-aware scheduling for periodic real-time tasks (428 citations)
  • The effects of energy management on reliability in real-time embedded systems (262 citations)

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

His primary scientific interests are in Distributed computing, Scheduling, Computer network, Real-time computing and Energy consumption. His research on Distributed computing also deals with topics like

  • Dynamic priority scheduling that connect with fields like Fair-share scheduling,
  • Server which intersects with area such as Computer security. He has included themes like Computational complexity theory, Computation and Correctness in his Scheduling study.

Real-time computing connects with themes related to Workload in his study. His Energy consumption research is multidisciplinary, incorporating perspectives in Power management, Efficient energy use, Embedded system and Energy management. His work carried out in the field of Fault tolerance brings together such families of science as Redundancy and Real-time operating system.

He most often published in these fields:

  • Distributed computing (31.47%)
  • Scheduling (23.90%)
  • Computer network (23.11%)

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

  • Computer security (7.57%)
  • Computer network (23.11%)
  • Scheduling (23.90%)

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

The scientist’s investigation covers issues in Computer security, Computer network, Scheduling, Distributed computing and Software. In the field of Computer security, his study on Intrusion detection system overlaps with subjects such as Emergency management. His study looks at the relationship between Computer network and fields such as Wireless network, as well as how they intersect with chemical problems.

His research investigates the connection between Scheduling and topics such as Duty cycle that intersect with problems in Integer programming. He brings together Distributed computing and Electronic mail to produce work in his papers. His Wireless sensor network research is multidisciplinary, relying on both Gain scheduling, Maximum throughput scheduling, Dynamic priority scheduling, Fair-share scheduling and Wireless WAN.

Between 2015 and 2021, his most popular works were:

  • Empowering End Users for Social Internet of Things (15 citations)
  • Concurrent Migration of Multiple Pages in software-managed hybrid main memory (13 citations)
  • Design and implementation of a Witness Unit for opportunistic routing in tsunami alert scenarios (13 citations)

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

  • Operating system
  • Computer network
  • The Internet

Daniel Mosse mostly deals with Computer security, Emergency management, Field, Cloud computing and Home automation. His Computer security research incorporates themes from Telecommunications network, Control and Taxonomy. As part of the same scientific family, Daniel Mosse usually focuses on Field, concentrating on Smart environment and intersecting with Distributed computing.

He merges Distributed computing with Order in his study. His research in Home automation tackles topics such as Gateway which are related to areas like The Internet. His work in Wireless addresses issues such as Robot, which are connected to fields such as Computer network.

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.

Best Publications

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

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
real-time systems symposium (2001)

642 Citations

Power-aware scheduling for periodic real-time tasks

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
IEEE Transactions on Computers (2004)

607 Citations

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

Dakai Zhu;R. Melhem;D. Mosse.
international conference on computer aided design (2004)

384 Citations

Optimal reward-based scheduling for periodic real-time tasks

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
IEEE Transactions on Computers (2001)

295 Citations

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

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
euromicro conference on real-time systems (2001)

283 Citations

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

S. Ghosh;R. Melhem;D. Mosse.
IEEE Transactions on Parallel and Distributed Systems (1997)

266 Citations

Increasing PCM main memory lifetime

Alexandre P. Ferreira;Miao Zhou;Santiago Bock;Bruce Childers.
design, automation, and test in europe (2010)

246 Citations

Energy aware scheduling for distributed real-time systems

R. Mishra;N. Rastogi;Dakai Zhu;D. Mosse.
international parallel and distributed processing symposium (2003)

225 Citations

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

R. Melhem;D. Mosse;E. Elnozahy.
IEEE Transactions on Computers (2004)

196 Citations

Fault-Tolerant Rate-Monotonic Scheduling

Sunondo Ghosh;Rami Melhem;Daniel Mossé;Joydeep Sen Sarma.
Real-time Systems (1998)

177 Citations

Best Scientists Citing Daniel Mosse

Jian-Jia Chen

Jian-Jia Chen

TU Dortmund University

Publications: 71

Hakan Aydin

Hakan Aydin

George Mason University

Publications: 62

Dakai Zhu

Dakai Zhu

The University of Texas at San Antonio

Publications: 55

Tei-Wei Kuo

Tei-Wei Kuo

National Taiwan University

Publications: 48

Lothar Thiele

Lothar Thiele

ETH Zurich

Publications: 37

Yves Robert

Yves Robert

École Normale Supérieure de Lyon

Publications: 36

Keqin Li

Keqin Li

State University of New York

Publications: 34

Giorgio Buttazzo

Giorgio Buttazzo

Sant'Anna School of Advanced Studies

Publications: 32

Joël Goossens

Joël Goossens

Université Libre de Bruxelles

Publications: 32

Laurence T. Yang

Laurence T. Yang

St. Francis Xavier University

Publications: 24

Xiao Qin

Xiao Qin

Auburn University

Publications: 24

Edwin H.-M. Sha

Edwin H.-M. Sha

East China Normal University

Publications: 21

Alan Burns

Alan Burns

University of York

Publications: 20

Ragunathan Rajkumar

Ragunathan Rajkumar

Carnegie Mellon University

Publications: 19

Rami Melhem

Rami Melhem

University of Pittsburgh

Publications: 19

Petru Eles

Petru Eles

Linköping University

Publications: 18

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

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