Daniel Cobb

1.2k citations
14 papers · 898 · 1 hit paper · h-index 7

Impact in

    • Numerical methods for differential equations
    • Stability and Control of Uncertain Systems
    • Adaptive Control of Nonlinear Systems
    • Control and Stability of Dynamical Systems
    • Control Systems and Identification
    • Advanced Control Systems Optimization
    • Fault Detection and Control Systems

Papers in

Daniel Cobb

12 papers receiving 818 citations

Daniel Cobb's Hit Papers

Controllability, observability, and duality in singular systems 1984 · 416 citations
4160+14+28Years since publication100200300400

Peers

Daniel Cobb
Comparison fields: 5 of 50
  • Numerical Analysis 185
  • Control and Systems Engineering 762
  • Computational Theory and Mathematics 208
  • Statistical and Nonlinear Physics 144
  • Geometry and Topology 67
Replace D. Bender with:
D. Bender United States
E. L. Yip United States
John Paul Quinn Canada
A.I.G. Vardulakis Greece
Yuri S. Ledyaev United States
Amol Sasane United Kingdom
Sigurður Hafstein Iceland
Norio Fukuma Japan
Jacques Willems Belgium
Peter M. Dower Australia
Daniel Cobb relative to D. Bender United States D. Bender's profile →
Citations per field
00.5×
D. Bender · 1×
Citations per year

Countries citing papers authored by Daniel Cobb

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cobb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

14 of 14 papers shown
#Work
1
Controllability, observability, and duality in singular systems
Hit paper breakdown →
1984416
2 1983194
3 1981174
4 198255
5 200622
6 198314
7 20108
8
A simple physically based snowfall algorithm
20056
9 20063
10
Descriptor Variable Systems and Optimal State Regulation
19832
11 20062
12 20032
13 20120
14
Feedback Analysis for Non-Strictly-Proper Systems
20010

About Daniel Cobb

Daniel Cobb is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Numerical Analysis and Applied Mathematics, having authored 14 papers that have together received 898 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (7 papers), Quantum chaos and dynamical systems (5 papers), Adaptive Control of Nonlinear Systems (4 papers), Numerical methods for differential equations (3 papers), Matrix Theory and Algorithms (3 papers), Advanced Control Systems Optimization (2 papers), Control and Stability of Dynamical Systems (2 papers) and Precipitation Measurement and Analysis (1 paper). The work is most often cited by research in Numerical Analysis (185 citations), Control and Systems Engineering (762 citations), Computational Theory and Mathematics (208 citations), Statistical and Nonlinear Physics (144 citations) and Geometry and Topology (67 citations). Daniel Cobb has collaborated with scholars based in United States and Canada. Their work appears in journals such as SIAM Journal on Control and Optimization, IEEE Transactions on Automatic Control, International Journal of Control and Journal of Differential Equations.

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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