What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
Peter Key focuses on Computer network, Distributed computing, Network congestion, Mathematical optimization and Throughput.
His work carried out in the field of Computer network brings together such families of science as Wireless mesh network and Single antenna interference cancellation.
His research in Distributed computing intersects with topics in Quality of service, Equal-cost multi-path routing, Multipath routing and Host.
His study in Network congestion is interdisciplinary in nature, drawing from both Packet loss, Real-time computing, Network traffic control and Multipath propagation.
The concepts of his Mathematical optimization study are interwoven with issues in Bayes estimator, Call Admission Control, Leaky bucket, Asynchronous Transfer Mode and Robustness.
The study incorporates disciplines such as Game theory and TCP congestion-avoidance algorithm in addition to Throughput.
His most cited work include:
- PIC: practical Internet coordinates for distance estimation (315 citations)
- Rethinking Indoor Wireless Mesh Design: Low Power, Low Frequency, Full-Duplex (191 citations)
- A decision-theoretic approach to call admission control in ATM networks (187 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer network, Distributed computing, Mathematical optimization, Network congestion and Network packet.
His Computer network research is multidisciplinary, relying on both Wireless mesh network and The Internet.
His Distributed computing study integrates concerns from other disciplines, such as Wireless, Throughput, Multipath routing, Flow control and Scheduling.
His Mathematical optimization research includes elements of Bidding and Common value auction.
His Network congestion research incorporates elements of Binary feedback, Network traffic control, Multipath propagation and End user.
The Network packet study combines topics in areas such as Real-time computing and Admission control.
He most often published in these fields:
- Computer network (42.59%)
- Distributed computing (20.99%)
- Mathematical optimization (17.28%)
What were the highlights of his more recent work (between 2012-2020)?
- Mathematical optimization (17.28%)
- Nash equilibrium (8.64%)
- Common value auction (8.64%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Mathematical optimization, Nash equilibrium, Common value auction, Incentive and Bidding.
His studies deal with areas such as Shapley value, Core and Bounded function as well as Mathematical optimization.
His Nash equilibrium research is multidisciplinary, incorporating elements of Internet service provider, Advertising and Enhanced service.
Common value auction is the subject of his research, which falls under Microeconomics.
His study looks at the relationship between Incentive and topics such as Mechanism design, which overlap with Incentive compatibility and Payment.
Peter Key applies his multidisciplinary studies on Bidding and Limit in his research.
Between 2012 and 2020, his most popular works were:
- Dwelling on the Negative: Incentivizing Effort in Peer Prediction (51 citations)
- The architecture of innovation: tracking face-to-face interactions with ubicomp technologies (37 citations)
- Optimising trade-offs among stakeholders in ad auctions (29 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
His primary areas of study are Mathematical optimization, Common value auction, Microeconomics, Incentive and Reservation price.
Peter Key connects Mathematical optimization with Resource in his research.
His research integrates issues of Bidding and Mathematical economics in his study of Common value auction.
His Microeconomics study combines topics from a wide range of disciplines, such as Quality, Payment and Computer security.
His Incentive research incorporates themes from Simple and Server.
His Reservation price study also includes
- Nash equilibrium together with Constrained optimization and Revenue equivalence,
- Outcome together with Ranking.
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