What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His main research concerns Computer network, The Internet, Distributed computing, Data mining and Traffic engineering.
His Computer network research incorporates themes from Wireless and Wireless network.
His work carried out in the field of The Internet brings together such families of science as Event and Service.
As a part of the same scientific study, Christophe Diot usually deals with the Distributed computing, concentrating on Data transmission and frequently concerns with Asynchronous Transfer Mode, Transmission, Range, Mobility model and Algorithm design.
His work on Anomaly detection as part of general Data mining study is frequently linked to Sensitivity and Flow measurement, therefore connecting diverse disciplines of science.
The Traffic engineering study combines topics in areas such as Network planning and design, Simulation, Dependability, Robustness and Intelligent Network.
His most cited work include:
- Mining anomalies using traffic feature distributions (1002 citations)
- Diagnosing network-wide traffic anomalies (981 citations)
- Impact of Human Mobility on Opportunistic Forwarding Algorithms (947 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, Network packet, The Internet and Backbone network.
His work in Router, Quality of service, Routing protocol, Multicast and Traffic generation model are all subfields of Computer network research.
His studies in Distributed computing integrate themes in fields like Routing, Scalability, Traffic engineering and Open Shortest Path First.
Christophe Diot has included themes like Queue and Real-time computing in his Network packet study.
His The Internet research is multidisciplinary, incorporating elements of Telecommunications, Bandwidth and Service.
His study focuses on the intersection of Backbone network and fields such as Internet backbone with connections in the field of Flow.
He most often published in these fields:
- Computer network (53.39%)
- Distributed computing (20.34%)
- Network packet (17.37%)
What were the highlights of his more recent work (between 2010-2020)?
- Information retrieval (2.54%)
- The Internet (14.41%)
- Computer network (53.39%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Information retrieval, The Internet, Computer network, Recommender system and Distributed computing.
His Information retrieval study incorporates themes from Hierarchical clustering, Unsupervised learning, Graph and Movie reviews.
His research in The Internet intersects with topics in Real-time computing, Throughput, Anechoic chamber and Physical layer.
His study in Computer network is interdisciplinary in nature, drawing from both Transmission and Video quality.
His Recommender system study combines topics in areas such as Internet traffic and Cache.
Christophe Diot has researched Distributed computing in several fields, including Software, Scalability, Quiver and Quake.
Between 2010 and 2020, his most popular works were:
- Dissemination in opportunistic social networks: the role of temporal communities (121 citations)
- Finding a needle in a haystack of reviews: cold start context-based hotel recommender system demo (97 citations)
- Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd (69 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Christophe Diot mainly focuses on The Internet, Recommender system, Social network, Internet privacy and Pairwise comparison.
His The Internet research integrates issues from End-to-end principle, Real-time computing and Load balancing, Distributed computing.
His Recommender system research includes elements of Computer network, Focus, Video quality and Internet traffic.
His Social network studies intersect with other subjects such as Social group and Process.
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