Christopher V. Rao

10.5k citations
11 papers · 7.9k indexed · 3 hit papers · h-index 9

Christopher V. Rao

11 papers receiving 7.5k citations

Hit Papers

Constrained state estimation for nonlinear discrete-time ...66220002026200820172.0k4.0k6.0k

Peers

Christopher V. Rao
Comparison fields: 5 of 126
  • Control and Systems Engineering 6.9k
  • Automotive Engineering 535
  • Numerical Analysis 163
  • Computer Vision and Pattern Recognition 438
  • Computer Networks and Communications 481
Replace J.M. Maciejowski with:
J.M. Maciejowski United Kingdom
P.O.M. Scokaert United States
Michel Fliess France
Stanisław H. Żak United States
Riccardo Scattolini Italy
Jaime A. Moreno Mexico
Wilfrid Perruquetti France
Carlos E. García United States
Colin N. Jones Switzerland
Jian‐Qiao Sun United States
Christopher V. Rao relative to J.M. Maciejowski United Kingdom J.M. Maciejowski's profile →
Citations per field
00.5×1.5×2.4×
J.M. Maciejowski · 1×
Citations per year

Countries citing papers authored by Christopher V. Rao

Since Specialization
Citations

This map shows the geographic impact of Christopher V. Rao'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 V. Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher V. Rao more than expected).

Fields of papers citing papers by Christopher V. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher V. Rao. 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 V. Rao. The network helps show where Christopher V. Rao may publish in the future.

Co-authorship network

The 6 scholars most cited alongside Christopher V. Rao, 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 V. Rao Line = papers co-authored together Christopher V. Rao links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201713
2 20124
3
Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximationsbreakdown →
2003662
4 2002149
5
Constrained linear state estimation—a moving horizon approachbreakdown →
2001453
6 200096
7
Constrained model predictive control: Stability and optimalitybreakdown →
20006375
8 1999143
9 199913
10 19984
11 199728

About Christopher V. Rao

Christopher V. Rao is a scholar working on Control and Systems Engineering, Numerical Analysis and Fluid Flow and Transfer Processes, having authored 11 papers that have together received 7.9k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (11 papers), Fault Detection and Control Systems (7 papers), Control Systems and Identification (5 papers), Process Optimization and Integration (3 papers), Stability and Control of Uncertain Systems (1 paper), Iterative Learning Control Systems (1 paper), Rheology and Fluid Dynamics Studies (1 paper) and Advanced Optimization Algorithms Research (1 paper). The work is most often cited by research in Control and Systems Engineering (6.9k citations), Automotive Engineering (535 citations) and Numerical Analysis (163 citations). Christopher V. Rao has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include James B. Rawlings, D.Q. Mayne, P.O.M. Scokaert, Jay H. Lee, John C. Campbell and Stephen J. Wright. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and AIChE Journal.

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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