What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Telecommunications
His primary areas of study are Computer network, Mathematical optimization, Game theory, Distributed computing and Nash equilibrium.
His biological study spans a wide range of topics, including Wireless ad hoc network and Throughput.
His Mathematical optimization study combines topics in areas such as Routing, Markov decision process, Resource allocation and Markov chain.
His Markov decision process research focuses on subjects like Average cost, which are linked to Linear programming.
His Game theory research integrates issues from Wireless, Wireless network and Power control.
His work carried out in the field of Nash equilibrium brings together such families of science as Implementation theory, Flow network, Packet switching, Static routing and Polynomial.
His most cited work include:
- Constrained Markov Decision Processes (953 citations)
- A survey on networking games in telecommunications (505 citations)
- CDMA uplink power control as a noncooperative game (396 citations)
What are the main themes of his work throughout his whole career to date?
Eitan Altman mostly deals with Computer network, Mathematical optimization, Distributed computing, Game theory and Nash equilibrium.
His Computer network research includes themes of Wireless, Wireless network and Throughput.
He has researched Mathematical optimization in several fields, including Routing, Queueing theory, Markov decision process, Markov chain and Queue.
His Queue study combines topics from a wide range of disciplines, such as Polling and Real-time computing.
His Distributed computing study integrates concerns from other disciplines, such as Mobile ad hoc network, Wireless ad hoc network and Power control.
His Nash equilibrium study is related to the wider topic of Mathematical economics.
He most often published in these fields:
- Computer network (33.43%)
- Mathematical optimization (30.06%)
- Distributed computing (15.84%)
What were the highlights of his more recent work (between 2013-2021)?
- Computer network (33.43%)
- Mathematical optimization (30.06%)
- Nash equilibrium (13.49%)
In recent papers he was focusing on the following fields of study:
Computer network, Mathematical optimization, Nash equilibrium, Distributed computing and Social network are his primary areas of study.
Eitan Altman interconnects Wireless, Wireless network and Throughput in the investigation of issues within Computer network.
As part of one scientific family, Eitan Altman deals mainly with the area of Wireless network, narrowing it down to issues related to the Relay, and often Network packet.
His work on Maximization as part of general Mathematical optimization research is often related to Convex optimization, thus linking different fields of science.
The various areas that Eitan Altman examines in his Nash equilibrium study include Distributed algorithm, Equilibrium selection and Stochastic game.
His studies examine the connections between Distributed computing and genetics, as well as such issues in Game theory, with regards to Computer security.
Between 2013 and 2021, his most popular works were:
- A General SDN-Based IoT Framework with NVF Implementation (27 citations)
- Forever Young: Aging Control For Hybrid Networks (25 citations)
- Complete game-theoretic characterization of SIS epidemics protection strategies (21 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Telecommunications
The scientist’s investigation covers issues in Computer network, Distributed computing, Nash equilibrium, Mathematical optimization and Heterogeneous network.
His work on Resource allocation as part of general Computer network study is frequently linked to Mobile telephony, bridging the gap between disciplines.
His work deals with themes such as Game theory and Base station, which intersect with Resource allocation.
His study in Distributed computing is interdisciplinary in nature, drawing from both Markov perfect equilibrium, Investment strategy, Stochastic game and Price of anarchy.
His Nash equilibrium research is multidisciplinary, relying on both Correlated equilibrium and Equilibrium selection.
In his research, he undertakes multidisciplinary study on Mathematical optimization and Constant.
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