What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
His primary areas of study are Distributed computing, Computer network, Wireless sensor network, Wireless ad hoc network and Combinatorics.
His Distributed computing research is multidisciplinary, incorporating elements of Wireless, Wireless network, Key distribution in wireless sensor networks, Policy-based routing and Multipath routing.
His study in Network topology, Routing table, Geographic routing, Static routing and Testbed is carried out as part of his studies in Computer network.
The study incorporates disciplines such as Algorithm, Approximation algorithm, Cluster analysis, Efficient energy use and Routing protocol in addition to Wireless sensor network.
His Wireless ad hoc network study combines topics in areas such as Node, Wireless Routing Protocol, Unit disk graph and Topology.
His Combinatorics research is multidisciplinary, incorporating perspectives in Discrete mathematics, Distributed algorithm, Upper and lower bounds and Constant.
His most cited work include:
- Farsite: federated, available, and reliable storage for an incompletely trusted environment (925 citations)
- Distributed topology control for power efficient operation in multihop wireless ad hoc networks (858 citations)
- Achieving high utilization with software-driven WAN (742 citations)
What are the main themes of his work throughout his whole career to date?
Roger Wattenhofer focuses on Computer network, Distributed computing, Wireless sensor network, Combinatorics and Theoretical computer science.
His biological study spans a wide range of topics, including Wireless, Wireless network, Scalability and Payment.
Roger Wattenhofer is interested in Peer-to-peer, which is a branch of Distributed computing.
His Wireless sensor network research incorporates elements of Key distribution in wireless sensor networks, Topology control and Wireless ad hoc network.
His Wireless ad hoc network study combines topics from a wide range of disciplines, such as Mobile ad hoc network and Network topology.
His work in Combinatorics covers topics such as Discrete mathematics which are related to areas like Distributed algorithm.
He most often published in these fields:
- Computer network (20.21%)
- Distributed computing (19.14%)
- Wireless sensor network (12.88%)
What were the highlights of his more recent work (between 2018-2021)?
- Theoretical computer science (12.34%)
- Artificial intelligence (6.26%)
- Payment (4.83%)
In recent papers he was focusing on the following fields of study:
Theoretical computer science, Artificial intelligence, Payment, Upper and lower bounds and Computer network are his primary areas of study.
His Theoretical computer science research is multidisciplinary, incorporating perspectives in Space, Streaming algorithm, Set and Transformer.
Roger Wattenhofer has included themes like Network planning and design, Database transaction, Communication channel, Blockchain and Nash equilibrium in his Payment study.
His Upper and lower bounds research integrates issues from Telecommunications network, Simple, Network model and Combinatorics.
Roger Wattenhofer studied Combinatorics and Omega that intersect with Graph and Influence propagation.
As part of his studies on Computer network, Roger Wattenhofer often connects relevant areas like Randomized algorithm.
Between 2018 and 2021, his most popular works were:
- On Identifiability in Transformers (61 citations)
- Recognition and Repetition Counting for Complex Physical Exercises with Deep Learning (18 citations)
- Brick: Asynchronous State Channels (13 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Roger Wattenhofer mainly focuses on Computer security, Theoretical computer science, Blockchain, Transformer and Asynchronous communication.
Roger Wattenhofer has researched Computer security in several fields, including Database transaction, Payment and Crash.
His Theoretical computer science study combines topics in areas such as Training set, Resilience, Graph neural networks, Memory model and Byzantine fault tolerance.
The Blockchain study combines topics in areas such as Abstraction, Cryptocurrency, Mathematical proof and Distributed computing.
The study incorporates disciplines such as Node, Randomized algorithm, Network model and Telecommunications network in addition to Asynchrony.
His Randomized algorithm study incorporates themes from Matching and Upper and lower bounds.
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