Daniel Cobb

1.2k total citations · 1 hit paper
14 papers, 898 citations indexed

About

Daniel Cobb is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Cobb has authored 14 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 5 papers in Statistical and Nonlinear Physics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Cobb's work include Stability and Control of Uncertain Systems (7 papers), Quantum chaos and dynamical systems (5 papers) and Adaptive Control of Nonlinear Systems (4 papers). Daniel Cobb is often cited by papers focused on Stability and Control of Uncertain Systems (7 papers), Quantum chaos and dynamical systems (5 papers) and Adaptive Control of Nonlinear Systems (4 papers). Daniel Cobb collaborates with scholars based in United States and Canada. Daniel Cobb's co-authors include and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Differential Equations and SIAM Journal on Control and Optimization.

In The Last Decade

Daniel Cobb

12 papers receiving 818 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Controllability, observability, and duality in singular systems

1984 416 citations Daniel Cobb IEEE Transactions on Automatic Control profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Cobb United States	7	762	208	185	144	67	14	898
D. Bender United States	9	649 0.9×	167 0.8×	147 0.8×	123 0.9×	37 0.6×	17	765
A.I.G. Vardulakis Greece	14	365 0.5×	294 1.4×	152 0.8×	87 0.6×	22 0.3×	69	616
E. L. Yip United States	9	317 0.4×	189 0.9×	136 0.7×	84 0.6×	45 0.7×	13	600
Sigurður Hafstein Iceland	14	578 0.8×	110 0.5×	148 0.8×	221 1.5×	39 0.6×	88	765
Zbigniew Bartosiewicz Poland	15	481 0.6×	105 0.5×	164 0.9×	122 0.8×	45 0.7×	83	770
M.E. Sezer Türkiye	16	596 0.8×	159 0.8×	68 0.4×	102 0.7×	144 2.1×	42	796
John Paul Quinn Canada	4	440 0.6×	93 0.4×	64 0.3×	56 0.4×	48 0.7×	13	527
E. Emre United States	13	305 0.4×	194 0.9×	104 0.6×	61 0.4×	31 0.5×	35	483
Norio Fukuma Japan	10	346 0.5×	188 0.9×	120 0.6×	75 0.5×	138 2.1×	16	478
D. Ya. Khusainov Ukraine	16	302 0.4×	273 1.3×	280 1.5×	63 0.4×	138 2.1×	57	807

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

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14 of 14 papers shown

1.

Cobb, Daniel. (2012). Singular Observer-Based Compensators and the Deterministic Separation Principle. SIAM Journal on Control and Optimization. 50(4). 1921–1949.

2.

Cobb, Daniel. (2010). Eigenvalue Conditions for Convergence of Singularly Perturbed Matrix Exponential Functions. SIAM Journal on Control and Optimization. 48(7). 4327–4351. 8 indexed citations

3.

Cobb, Daniel. (2006). State Feedback Impulse Elimination for Singular Systems over a Hermite Domain. SIAM Journal on Control and Optimization. 44(6). 2189–2209. 22 indexed citations

4.

Cobb, Daniel. (2006). State Feedback Impulse Elimination for Singular Systems over a Hermite Domain. 2. 5748–5753. 3 indexed citations

5.

Cobb, Daniel, et al.. (2006). High-Gain State Feedback Analysis Based on Singular System Theory. SIAM Journal on Control and Optimization. 44(6). 2210–2232. 2 indexed citations

6.

Cobb, Daniel. (2005). A simple physically based snowfall algorithm. 6 indexed citations

7.

Cobb, Daniel, et al.. (2003). A Characterization of Bounded-Input Bounded-Output Stability for Linear Time-Varying Systems with Distributional Inputs. SIAM Journal on Control and Optimization. 42(4). 1222–1243. 2 indexed citations

8.

Cobb, Daniel. (2001). Feedback Analysis for Non-Strictly-Proper Systems.

9.

Cobb, Daniel. (1984). Controllability, observability, and duality in singular systems. IEEE Transactions on Automatic Control. 29(12). 1076–1082. 416 indexed citations breakdown →

10.

Cobb, Daniel. (1983). Descriptor Variable Systems and Optimal State Regulation. 28(5). 601–611. 2 indexed citations

11.

Cobb, Daniel. (1983). Descriptor variable systems and optimal state regulation. IEEE Transactions on Automatic Control. 28(5). 601–611. 194 indexed citations

12.

Cobb, Daniel. (1983). A further interpretation of inconsistent initial conditions in descriptor-variable systems. IEEE Transactions on Automatic Control. 28(9). 920–922. 14 indexed citations

13.

Cobb, Daniel. (1982). On the solutions of linear differential equations with singular coefficients. Journal of Differential Equations. 46(3). 310–323. 55 indexed citations

14.

Cobb, Daniel. (1981). Feedback and pole placement in descriptor variable Systems†. International Journal of Control. 33(6). 1135–1146. 174 indexed citations

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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