What is she best known for?
The fields of study she is best known for:
- Computer network
- The Internet
- Statistics
Catherine Rosenberg focuses on Computer network, Distributed computing, Throughput, Wireless sensor network and Server.
Her Computer network research includes elements of Relay and Software deployment.
Her Distributed computing study incorporates themes from Path, Wireless network, Wireless mesh network and Mesh networking.
Her research integrates issues of Resource allocation, Scheduling, Heterogeneous network, Optimization problem and Intelligent Network in her study of Throughput.
Her study looks at the intersection of Resource allocation and topics like Cellular network with Channel allocation schemes and Mathematical optimization.
Her Wireless sensor network study integrates concerns from other disciplines, such as Key distribution in wireless sensor networks and Sensor array.
Her most cited work include:
- A game theoretic framework for bandwidth allocation and pricing in broadband networks (662 citations)
- Design guidelines for wireless sensor networks: communication, clustering and aggregation (523 citations)
- A minimum cost heterogeneous sensor network with a lifetime constraint (427 citations)
What are the main themes of her work throughout her whole career to date?
Her primary scientific interests are in Computer network, Distributed computing, Mathematical optimization, Scheduling and Wireless network.
Her Computer network research is multidisciplinary, incorporating elements of Wireless and Throughput.
In her research, Fair-share scheduling is intimately related to Dynamic priority scheduling, which falls under the overarching field of Distributed computing.
Her research investigates the link between Mathematical optimization and topics such as Queueing theory that cross with problems in Queue.
Catherine Rosenberg focuses mostly in the field of Scheduling, narrowing it down to matters related to Telecommunications link and, in some cases, Cellular network.
The study incorporates disciplines such as Wireless ad hoc network and Wireless sensor network in addition to Wireless network.
She most often published in these fields:
- Computer network (46.75%)
- Distributed computing (18.70%)
- Mathematical optimization (14.63%)
What were the highlights of her more recent work (between 2017-2021)?
- Cellular network (7.32%)
- Mathematical optimization (14.63%)
- Optimization problem (8.54%)
In recent papers she was focusing on the following fields of study:
Catherine Rosenberg mainly investigates Cellular network, Mathematical optimization, Optimization problem, Telecommunications link and Robustness.
Her Cellular network study improves the overall literature in Computer network.
Catherine Rosenberg interconnects Sense, Channel allocation schemes, Communication channel, Power management and Joint in the investigation of issues within Computer network.
Her research in Mathematical optimization intersects with topics in Mixture model, Photovoltaic system, Range and Benchmark.
Her study in Optimization problem is interdisciplinary in nature, drawing from both Energy consumption, Resource allocation, Dynamic priority scheduling and Occupancy.
Her studies in Scheduling integrate themes in fields like Broadband and Distributed computing.
Between 2017 and 2021, her most popular works were:
- State Estimation in Power Distribution Systems Based on Ensemble Kalman Filtering (25 citations)
- Smart Operation of Electric Vehicles With Four-Quadrant Chargers Considering Uncertainties (20 citations)
- Energy consumption analysis of residential swimming pools for peak load shaving (14 citations)
In her most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Statistics
Her main research concerns Model predictive control, HVAC, Automotive engineering, Energy consumption and Sizing.
Her research investigates the connection between Model predictive control and topics such as Control theory that intersect with problems in Adaptive system and Artificial neural network.
Her HVAC research overlaps with other disciplines such as Efficient energy use, Architectural engineering, Optimization problem, Schedule and Occupancy.
Her Automotive engineering research incorporates themes from Peak load shaving and Prior information.
Her study in Sizing intersects with areas of studies such as Solar power, Mathematical optimization, Robust optimization, Photovoltaic system and Network calculus.
The concepts of her Mathematical optimization study are interwoven with issues in Stochastic process and Data point.
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