Charlotte Striebel

2.5k citations
15 papers · 1.7k indexed · 1 hit paper · h-index 8
Topics
Control Systems and Identification (4 papers)Fault Detection and Control Systems (4 papers)Advanced Control Systems Optimization (3 papers)
Partner nations
United StatesCanada

In The Last Decade

Charlotte Striebel

11 papers receiving 1.5k citations

Hit Papers

Maximum likelihood estimates of linear dynamic systems196520261985200519654008001.2k

Peers

Charlotte Striebel
Comparison fields: 5 of 125
  • Artificial Intelligence 739
  • Control and Systems Engineering 456
  • Aerospace Engineering 339
  • Electrical and Electronic Engineering 128
  • Signal Processing 128
Replace D. Alspach with:
D. Alspach United States
F. Tung United States
Herbert E. Rauch United States
A. Haddad United States
H.W. Sorenson United States
A. E. Bryson United States
J.H. Kotecha United States
George M. Siouris United States
Will Gersch United States
Joaquı́n Mı́guez Spain
Charlotte Striebel relative to D. Alspach United States D. Alspach's profile →
Citations per field
00.5×1.5×
D. Alspach · 1×
Citations per year

Countries citing papers authored by Charlotte Striebel

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Striebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlotte Striebel. 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 Charlotte Striebel. The network helps show where Charlotte Striebel may publish in the future.

Co-authorship network of co-authors of Charlotte Striebel

This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte Striebel. A scholar is included among the top collaborators of Charlotte Striebel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charlotte Striebel. Charlotte Striebel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 12
2 36
3 29
4 2
5 90
6
Stochastic Differential Equations in Statistical Estimation Problems
2
7 119
8 7
9 6
10
A NON-LINEAR OPTIMUM STOCHASTIC CONTROL PROBLEM,
1
11
Maximum likelihood estimates of linear dynamic systemsbreakdown →
1339
12 0
13 1
14 14
15 2

About Charlotte Striebel

Charlotte Striebel is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Control Systems and Identification (4 papers), Fault Detection and Control Systems (4 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Artificial Intelligence (739 citations), Control and Systems Engineering (456 citations) and Aerospace Engineering (339 citations). Charlotte Striebel has collaborated with scholars based in United States and Canada. Frequent co-authors include F. Tung, Herbert E. Rauch and G. Kallianpur. Their work appears in journals such as Technometrics, Bulletin of the American Meteorological Society and AIAA 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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2026