What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Computer network
- Statistics
R. Michael Buehrer mainly investigates Algorithm, Electronic engineering, Wireless sensor network, Estimator and Communication channel.
His studies deal with areas such as Multilateration, Compensation, Global Positioning System and Nonlinear system as well as Algorithm.
As part of the same scientific family, R. Michael Buehrer usually focuses on Electronic engineering, concentrating on Base station and intersecting with Signal.
His studies in Wireless sensor network integrate themes in fields like Mathematical optimization, Semidefinite programming, Non-line-of-sight propagation and Range.
His Non-line-of-sight propagation research focuses on Error mitigation and how it connects with Real-time computing.
The study incorporates disciplines such as Pilot signal, Simulation, Data mining and Antenna in addition to Communication channel.
His most cited work include:
- Handbook of Position Location: Theory, Practice and Advances (318 citations)
- Learning distributed caching strategies in small cell networks (107 citations)
- A linear programming approach to NLOS error mitigation in sensor networks (102 citations)
What are the main themes of his work throughout his whole career to date?
R. Michael Buehrer mostly deals with Algorithm, Electronic engineering, Wireless, Real-time computing and Computer network.
His Algorithm research includes themes of Non-line-of-sight propagation, Communication channel, Estimator, Mathematical optimization and Upper and lower bounds.
His Electronic engineering research is multidisciplinary, incorporating perspectives in Antenna array, Base station and Fading.
His Wireless research integrates issues from Wireless sensor network and Multimedia.
His Real-time computing study also includes fields such as
- Global Positioning System, which have a strong connection to Cellular network,
- Multilateration which intersects with area such as Time of arrival.
His Computer network research is multidisciplinary, incorporating elements of Wireless network and Interference.
He most often published in these fields:
- Algorithm (22.28%)
- Electronic engineering (21.24%)
- Wireless (17.10%)
What were the highlights of his more recent work (between 2016-2021)?
- Real-time computing (17.10%)
- Wireless (17.10%)
- Algorithm (22.28%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Real-time computing, Wireless, Algorithm, Communication channel and Wireless sensor network.
His study in Real-time computing is interdisciplinary in nature, drawing from both Radar, Tracking, Radio frequency and Artificial neural network.
His work on Cognitive radio as part of general Wireless research is frequently linked to Mobile device, thereby connecting diverse disciplines of science.
A large part of his Algorithm studies is devoted to Cramér–Rao bound.
His research in Communication channel intersects with topics in Iterative method, Recurrent neural network, Electronic engineering and Heuristic.
He combines subjects such as Transmitter, Ranging and Telecommunications network with his study of Wireless sensor network.
Between 2016 and 2021, his most popular works were:
- Collaborative Sensor Network Localization: Algorithms and Practical Issues (68 citations)
- Indoor footstep localization from structural dynamics instrumentation (28 citations)
- Cooperative Source Node Tracking in Non-Line-of-Sight Environments (20 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Computer network
- Statistics
His primary areas of study are Real-time computing, Wireless sensor network, Wireless network, Optimization problem and Interference.
His work is dedicated to discovering how Real-time computing, Markov decision process are connected with Reinforcement learning and Doppler radar and other disciplines.
R. Michael Buehrer has included themes like Transmitter, Algorithm, Stability and Wireless in his Wireless sensor network study.
His study in the field of Cramér–Rao bound is also linked to topics like Internet of Things.
His Wireless network research is multidisciplinary, relying on both Network performance, Computer network, Telecommunications link and Random variable.
His Optimization problem study combines topics in areas such as Adversarial system, Adversarial machine learning, Distributed computing and Residual.
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