H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 5,922 141 World Ranking 6998 National Ranking 204

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Artificial intelligence

His primary scientific interests are in Game theory, Nash equilibrium, Mathematical optimization, Computer network and Power control. His research in Game theory intersects with topics in Computer security, Wireless ad hoc network and Distributed computing. The concepts of his Distributed computing study are interwoven with issues in Exploit, Intrusion detection system and Cloud computing security.

The study incorporates disciplines such as Cognitive radio and Stackelberg competition in addition to Nash equilibrium. His Mathematical optimization research incorporates themes from Resource allocation, Hybrid system and Robustness. His Computer network research includes themes of Wireless and Vehicular ad hoc network.

His most cited work include:

  • Game theory meets network security and privacy (576 citations)
  • CDMA uplink power control as a noncooperative game (396 citations)
  • Network Security: A Decision and Game-Theoretic Approach (317 citations)

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

Tansu Alpcan focuses on Game theory, Mathematical optimization, Computer network, Nash equilibrium and Distributed computing. His Game theory study incorporates themes from Computer security, Resource allocation and Mechanism design. Tansu Alpcan focuses mostly in the field of Computer security, narrowing it down to matters related to Cloud computing security and, in some cases, Computer security model.

His research investigates the connection between Mathematical optimization and topics such as Robustness that intersect with issues in Flow control. His studies in Computer network integrate themes in fields like Wireless, Wireless ad hoc network and Wireless network. In his research on the topic of Nash equilibrium, Base station is strongly related with Power control.

He most often published in these fields:

  • Game theory (23.45%)
  • Mathematical optimization (22.15%)
  • Computer network (17.59%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (8.14%)
  • Adversarial system (3.58%)
  • Reinforcement learning (3.26%)

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

His primary areas of investigation include Artificial intelligence, Adversarial system, Reinforcement learning, Electricity and Game theory. His research investigates the link between Artificial intelligence and topics such as Machine learning that cross with problems in Adversary. His Adversarial system research is multidisciplinary, relying on both Computer security and Mathematical economics.

His work on Electricity market as part of general Electricity research is often related to Environmental science, thus linking different fields of science. Tansu Alpcan has researched Game theory in several fields, including Wireless, Iterative method, Bounded function, Nash equilibrium and Information system. His work in Nash equilibrium addresses subjects such as Structure, which are connected to disciplines such as Mathematical optimization.

Between 2017 and 2021, his most popular works were:

  • Influence of building envelopes, climates, and occupancy patterns on residential HVAC demand (20 citations)
  • Distributed Real-Time IoT for Autonomous Vehicles (20 citations)
  • Reinforcement Learning for Autonomous Defence in Software-Defined Networking (15 citations)

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

  • Computer network
  • The Internet
  • Artificial intelligence

His main research concerns Adversarial system, Artificial intelligence, Game theory, Electricity and Environmental science. He has included themes like Computer security, Software-defined networking and Reinforcement learning in his Adversarial system study. His Artificial intelligence study combines topics from a wide range of disciplines, such as Base and Adversary.

Tansu Alpcan combines subjects such as Wireless, Anomaly detection, Cognitive network, Sensor array and Encryption with his study of Game theory. In his study, Tansu Alpcan carries out multidisciplinary Work and Mathematical optimization research. Tansu Alpcan studies Linear programming which is a part of Mathematical optimization.

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

Game theory meets network security and privacy

Mohammad Hossein Manshaei;Quanyan Zhu;Tansu Alpcan;Tamer Bacşar.
ACM Computing Surveys (2013)

695 Citations

CDMA uplink power control as a noncooperative game

Tansu Alpcan;Tamer Başar;R. Srikant;Eitan Altman.
Wireless Networks (2002)

629 Citations

Network Security: A Decision and Game-Theoretic Approach

Tansu Alpcan;Tamer Baar.
Network Security: A Decision and Game-Theoretic Approach 1st (2010)

551 Citations

Fog Computing May Help to Save Energy in Cloud Computing

Fatemeh Jalali;Kerry Hinton;Robert Ayre;Tansu Alpcan.
IEEE Journal on Selected Areas in Communications (2016)

305 Citations

A game theoretic approach to decision and analysis in network intrusion detection

T. Alpcan;T. Basar.
conference on decision and control (2003)

302 Citations

Optimal charging of electric vehicles taking distribution network constraints into account

Julian de Hoog;Tansu Alpcan;Marcus Brazil;Doreen Anne Thomas.
power and energy society general meeting (2017)

227 Citations

A game theoretic analysis of intrusion detection in access control systems

T. Alpcan;T. Basar.
conference on decision and control (2004)

194 Citations

A stackelberg game for power control and channel allocation in cognitive radio networks

Michael Bloem;Tansu Alpcan;Tamer Başar.
performance evaluation methodolgies and tools (2007)

189 Citations

A globally stable adaptive congestion control scheme for internet-style networks with delay

Tansu Alpcan;Tamer Basar.
IEEE ACM Transactions on Networking (2005)

153 Citations

A game-theoretic framework for congestion control in general topology networks

T. Alpcan;T. Basar.
conference on decision and control (2002)

147 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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Top Scientists Citing Tansu Alpcan

Quanyan Zhu

Quanyan Zhu

New York University

Publications: 86

Tamer Basar

Tamer Basar

University of Illinois at Urbana-Champaign

Publications: 48

Zhu Han

Zhu Han

University of Houston

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Eitan Altman

Eitan Altman

French Institute for Research in Computer Science and Automation - INRIA

Publications: 27

Dusit Niyato

Dusit Niyato

Nanyang Technological University

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H. Vincent Poor

H. Vincent Poor

Princeton University

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Jaafar M. H. Elmirghani

Jaafar M. H. Elmirghani

University of Leeds

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Wade Trappe

Wade Trappe

Rutgers, The State University of New Jersey

Publications: 19

Rajarshi Gupta

Rajarshi Gupta

Amazon Web Services

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Nageswara S. V. Rao

Nageswara S. V. Rao

Oak Ridge National Laboratory

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Merouane Debbah

Merouane Debbah

CentraleSupélec

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Milind Tambe

Milind Tambe

Harvard University

Publications: 17

R. Srikant

R. Srikant

University of Illinois at Urbana-Champaign

Publications: 16

Mihaela van der Schaar

Mihaela van der Schaar

University of Cambridge

Publications: 16

Radha Poovendran

Radha Poovendran

University of Washington

Publications: 15

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