What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- The Internet
Patrick Thiran mostly deals with Computer network, Wireless ad hoc network, Topology, Node and Wireless network.
As part of his studies on Computer network, Patrick Thiran often connects relevant subjects like Real-time computing.
His work deals with themes such as Intelligent Network, Wireless WAN and Percolation theory, which intersect with Wireless ad hoc network.
His Topology study combines topics from a wide range of disciplines, such as Cellular neural network, Time division multiple access and Binary entropy function.
The various areas that Patrick Thiran examines in his Wireless network study include Mobile ad hoc network and Network architecture.
His research integrates issues of Scheduling and The Internet in his study of Network packet.
His most cited work include:
- Network Calculus: A Theory of Deterministic Queuing Systems for the Internet (1078 citations)
- Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory (689 citations)
- Mapping human whole-brain structural networks with diffusion MRI. (621 citations)
What are the main themes of his work throughout his whole career to date?
Patrick Thiran mainly investigates Computer network, Distributed computing, Algorithm, Network topology and Network packet.
The study incorporates disciplines such as Wireless, Wireless network and Throughput in addition to Computer network.
His biological study deals with issues like Wireless ad hoc network, which deal with fields such as Time division multiple access.
His Distributed computing research incorporates elements of Scalability, Transmission, Wireless Application Protocol, Topology and Wireless mesh network.
His Algorithm research also works with subjects such as
- Theoretical computer science together with Self-organizing map,
- Topology most often made with reference to Artificial neural network.
Patrick Thiran has included themes like Router, Queueing theory, The Internet, Queue and Scheduling in his Network packet study.
He most often published in these fields:
- Computer network (40.08%)
- Distributed computing (18.99%)
- Algorithm (13.08%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (8.86%)
- Source localization (3.38%)
- Computer network (40.08%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Source localization, Computer network, Distributed computing and Algorithm.
His Artificial intelligence research includes themes of Machine learning and Markov chain.
Patrick Thiran works mostly in the field of Source localization, limiting it down to topics relating to Transmission and, in certain cases, State, Observer, Network topology and Small number.
His specific area of interest is Computer network, where he studies Testbed.
The Distributed computing study combines topics in areas such as Wireless sensor network, Scheduling and Base station.
His Algorithm course of study focuses on Normalization and Labeled data, Dropout, Metric and Artificial neural network.
Between 2014 and 2021, his most popular works were:
- Where You Are Is Who You Are: User Identification by Matching Statistics (56 citations)
- Analysis and Enhancement of CSMA/CA With Deferral in Power-Line Communications (14 citations)
- A General Framework for Sensor Placement in Source Localization (12 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Algorithm
Patrick Thiran spends much of his time researching Mathematical optimization, Source localization, Computer network, Transmission and Estimator.
Patrick Thiran interconnects Sampling, Time complexity, Algorithm and Vertex in the investigation of issues within Mathematical optimization.
Patrick Thiran is studying Testbed, which is a component of Computer network.
His Transmission research incorporates themes from Network topology, Node and State.
Patrick Thiran focuses mostly in the field of Network topology, narrowing it down to topics relating to Distributed computing and, in certain cases, Real-time computing.
His Estimator research includes elements of Theoretical computer science, Isometry, Independent component analysis, Type and Sample.
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