Christopher M. Kellett

3.1k citations
115 papers · 2.0k indexed · h-index 23

Christopher M. Kellett

110 papers receiving 1.9k citations

Peers

Christopher M. Kellett
Comparison fields: 5 of 75
  • Control and Systems Engineering 1.3k
  • Computer Networks and Communications 335
  • Electrical and Electronic Engineering 813
  • Energy Engineering and Power Technology 37
  • Automotive Engineering 113
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Countries citing papers authored by Christopher M. Kellett

Since Specialization
Citations

This map shows the geographic impact of Christopher M. Kellett's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher M. Kellett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Kellett more than expected).

Fields of papers citing papers by Christopher M. Kellett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Kellett. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher M. Kellett. The network helps show where Christopher M. Kellett may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Christopher M. Kellett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher M. Kellett Line = papers co-authored together Christopher M. Kellett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 20213
4 20207
5 20186
6 20185
7 20179
8 20166
9
Nonlinear model predictive control approach for structural load mitigation of wind turbines in presence of wind measurement uncertainties
20154
10
A real-time pricing scheme for residential energy systems using a market maker
20156
11
A discrete-time strong implication-form Lyapunov function for ISS systems with respect to positive semidefinite measurement functions
20153
12
Steady-state and transient dynamic behavior of simple climate models for application in integrated assessment models
20151
13
Assessing the benefits of net metering with residential battery storage
20151
14 201510
15 20134
16 201145
17 201047
18 20094
19 20061
20 200221

About Christopher M. Kellett

Christopher M. Kellett is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Architecture, having authored 115 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (36 papers), Stability and Control of Uncertain Systems (36 papers), Control and Stability of Dynamical Systems (32 papers), Adaptive Control of Nonlinear Systems (31 papers), Stability and Controllability of Differential Equations (13 papers), Smart Grid Energy Management (13 papers), Microgrid Control and Optimization (12 papers) and Climate Change Policy and Economics (11 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Computer Networks and Communications (335 citations) and Electrical and Electronic Engineering (813 citations). Christopher M. Kellett has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Steven R. Weller, Andrew R. Teel, Elizabeth L. Ratnam, Lars Grüne, Philipp Braun, Karl Worthmann, Peter M. Dower, Alan T. Murray, Sarah J. Johnson and Lawrence Ong. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Automatica.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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