H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 44 Citations 10,224 441 World Ranking 3663 National Ranking 1877

Research.com Recognitions

Awards & Achievements

2019 - Fellow of the American Mathematical Society For contributions to the mathematical foundations and applications of systems theory, stochastic systems, stochastic control, network security and trust, mentoring and academic leadership.

2017 - IEEE Simon Ramo Medal “For exceptional contributions to the conception and commercialization of internet-over-satellite systems, and for leadership in model-based engineering, systems science, and engineering research.”

2017 - Richard E. Bellman Control Heritage Award

2015 - Fellow, National Academy of Inventors

2014 - Fellow of the American Association for the Advancement of Science (AAAS)

2014 - Fellow of the International Federation of Automatic Control (IFAC)

2014 - SIAM Fellow For contributions to systems theory, stochastic control, and communication networks.

1984 - IEEE Fellow For contributions to distributed parameter systems theory, quantum and nonlinear estimation, and control of queuing systems.

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Artificial intelligence
  • Statistics

John S. Baras mainly focuses on Computer network, Distributed computing, Control theory, Wireless ad hoc network and Game theory. His studies deal with areas such as Wireless network and Scalability as well as Computer network. His work in Distributed computing addresses issues such as Wireless, which are connected to fields such as Ubiquitous computing, Stationary distribution, Trust management and Risk management.

His Wireless ad hoc network research is multidisciplinary, relying on both Mobile ad hoc network, Path and Communications protocol. John S. Baras has included themes like The Internet and Routing protocol in his Mobile ad hoc network study. His Game theory research integrates issues from Computer security, Human–computer interaction and Complete information.

His most cited work include:

  • On trust models and trust evaluation metrics for ad hoc networks (481 citations)
  • Modeling and control of hysteresis in magnetostrictive actuators (409 citations)
  • ATEMU: a fine-grained sensor network simulator (280 citations)

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

His primary areas of study are Computer network, Distributed computing, Mathematical optimization, Control theory and Algorithm. His Computer network research is multidisciplinary, incorporating elements of Wireless, Wireless ad hoc network and Wireless network. His Distributed computing research incorporates themes from Link-state routing protocol, Routing protocol, Network topology, Telecommunications network and Scheduling.

He interconnects Static routing, Wireless Routing Protocol and Dynamic Source Routing in the investigation of issues within Link-state routing protocol. His Mathematical optimization study integrates concerns from other disciplines, such as Stochastic process and Convergence. His Control theory study is mostly concerned with Robust control, Nonlinear system, Control theory, Optimal control and Actuator.

He most often published in these fields:

  • Computer network (25.78%)
  • Distributed computing (22.80%)
  • Mathematical optimization (14.64%)

What were the highlights of his more recent work (between 2012-2021)?

  • Mathematical optimization (14.64%)
  • Computer network (25.78%)
  • Distributed computing (22.80%)

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

John S. Baras focuses on Mathematical optimization, Computer network, Distributed computing, Control theory and Theoretical computer science. His Mathematical optimization study also includes fields such as

  • Convergence and related Graph,
  • Nonlinear programming, which have a strong connection to Differentiable function. His Computer network research is multidisciplinary, incorporating perspectives in Wireless and Wireless network.

John S. Baras usually deals with Distributed computing and limits it to topics linked to Resource management and Control system and Transmission. John S. Baras has researched Control theory in several fields, including Stochastic process, Dynamic programming and Topology. His research investigates the connection between Theoretical computer science and topics such as Random graph that intersect with problems in Random variable, Sign, Cluster analysis and Node.

Between 2012 and 2021, his most popular works were:

  • Convergence Results for the Linear Consensus Problem under Markovian Random Graphs (87 citations)
  • The Evolution of Beliefs over Signed Social Networks (54 citations)
  • Method and apparatus for authenticating biometric scanners (52 citations)

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

  • Computer network
  • Artificial intelligence
  • Statistics

His main research concerns Mathematical optimization, Distributed computing, Control theory, Computer network and Theoretical computer science. His Mathematical optimization study combines topics in areas such as Graph and Nonlinear programming. His work carried out in the field of Distributed computing brings together such families of science as Budget constraint, Task, Modeling and simulation, Function and Provisioning.

The concepts of his Control theory study are interwoven with issues in Value of information, Encoder, Dynamic programming and Bounded function. Many of his studies on Computer network involve topics that are commonly interrelated, such as Wireless. The Theoretical computer science study combines topics in areas such as Control system, Cluster analysis, Motion planning and Random variable.

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

On trust models and trust evaluation metrics for ad hoc networks

G. Theodorakopoulos;J.S. Baras.
IEEE Journal on Selected Areas in Communications (2006)

710 Citations

Modeling and control of hysteresis in magnetostrictive actuators

Xiaobo Tan;John S. Baras.
Automatica (2004)

581 Citations

ATEMU: a fine-grained sensor network simulator

J. Polley;D. Blazakis;J. McGee;D. Rusk.
sensor, mesh and ad hoc communications and networks (2004)

449 Citations

On Trust Establishment in Mobile Ad-Hoc Networks

Laurent Eschenauer;Virgil D. Gligor;John S. Baras.
international workshop on security (2002)

382 Citations

Trust evaluation in ad-hoc networks

George Theodorakopoulos;John S. Baras.
workshop on wireless security (2004)

368 Citations

Toward a Science of Cyber–Physical System Integration

J. Sztipanovits;X. Koutsoukos;G. Karsai;N. Kottenstette.
Proceedings of the IEEE (2012)

329 Citations

A Probabilistic Emergent Routing Algorithm for Mobile Ad Hoc Networks

John S. Baras;Harsh Mehta.
modeling and optimization in mobile, ad-hoc and wireless networks (2003)

315 Citations

Adaptive identification and control of hysteresis in smart materials

Xiaobo Tan;J.S. Baras.
IEEE Transactions on Automatic Control (2005)

306 Citations

Risk-sensitive control and dynamic games for partially observed discrete-time nonlinear systems

M.R. James;J.S. Baras;R.J. Elliott.
IEEE Transactions on Automatic Control (1994)

305 Citations

Adaptive Data Broadcast in Hybrid Networks

Konstantinos Stathatos;Nick Roussopoulos;John S. Baras.
very large data bases (1997)

276 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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