Edward S. Meadows

1.5k total citations
25 papers, 1.1k citations indexed

About

Edward S. Meadows is a scholar working on Control and Systems Engineering, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Edward S. Meadows has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 4 papers in Spectroscopy and 3 papers in Organic Chemistry. Recurrent topics in Edward S. Meadows's work include Advanced Control Systems Optimization (17 papers), Fault Detection and Control Systems (11 papers) and Control Systems and Identification (10 papers). Edward S. Meadows is often cited by papers focused on Advanced Control Systems Optimization (17 papers), Fault Detection and Control Systems (11 papers) and Control Systems and Identification (10 papers). Edward S. Meadows collaborates with scholars based in United States, Canada and Brazil. Edward S. Meadows's co-authors include James B. Rawlings, Timothy J. Crowley, Francis J. Doyle, P.O.M. Scokaert, Kenneth R. Muske, Francis J. Doyle, Edward P. Gatzke, Chung Wang, John W. Eaton and Michael A. Henson and has published in prestigious journals such as Automatica, Industrial & Engineering Chemistry Research and Journal of Polymer Science Part A Polymer Chemistry.

In The Last Decade

Edward S. Meadows

25 papers receiving 993 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Edward S. Meadows United States	13	776	147	94	92	67	25	1.1k
Erik Esche Germany	18	266 0.3×	188 1.3×	116 1.2×	98 1.1×	155 2.3×	71	846
Duncan A. Mellichamp United States	20	1.0k 1.3×	158 1.1×	91 1.0×	27 0.3×	150 2.2×	104	1.4k
Federico Galvanin United Kingdom	17	282 0.4×	211 1.4×	46 0.5×	79 0.9×	266 4.0×	69	870
Arthur Jutan Canada	22	852 1.1×	328 2.2×	56 0.6×	14 0.2×	69 1.0×	58	1.2k
Enrique Luis Lima Brazil	23	659 0.8×	160 1.1×	90 1.0×	353 3.8×	328 4.9×	97	1.6k
Timothy J. Crowley United States	12	317 0.4×	98 0.7×	29 0.3×	183 2.0×	129 1.9×	17	653
Leyla Özkan Netherlands	16	449 0.6×	85 0.6×	64 0.7×	15 0.2×	179 2.7×	53	811
Xigang Yuan China	20	837 1.1×	83 0.6×	81 0.9×	25 0.3×	343 5.1×	103	1.3k
K. Yamuna Rani India	17	347 0.4×	124 0.8×	140 1.5×	32 0.3×	245 3.7×	56	1.0k

Countries citing papers authored by Edward S. Meadows

Since Specialization

Citations

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

Fields of papers citing papers by Edward S. Meadows

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward S. Meadows. 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 Edward S. Meadows. The network helps show where Edward S. Meadows may publish in the future.

Co-authorship network of co-authors of Edward S. Meadows

This figure shows the co-authorship network connecting the top 25 collaborators of Edward S. Meadows. A scholar is included among the top collaborators of Edward S. Meadows 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 Edward S. Meadows. Edward S. Meadows is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Meadows, Edward S., et al.. (2008). Dynamic modelling and control of planar anode-supported solid oxide fuel cell. Computers & Chemical Engineering. 32(10). 2365–2381. 96 indexed citations

Muske, Kenneth R., Edward S. Meadows, & James B. Rawlings. (2005). The stability of constrained receding horizon control with state estimation. 3. 2837–2841. 7 indexed citations

Meadows, Edward S., Kenneth R. Muske, & James B. Rawlings. (2005). Implementable model predictive control in the state space. 5. 3699–3703. 4 indexed citations

Kariwala, Vinay, Sigurd Skogestad, J. Fraser Forbes, & Edward S. Meadows. (2005). Achievable input performance of linear systems under feedback control. International Journal of Control. 78(16). 1327–1341. 6 indexed citations

Kariwala, Vinay, J. Fraser Forbes, & Edward S. Meadows. (2005). Integrity of systems under decentralized integral control. Automatica. 41(9). 1575–1581. 29 indexed citations

Kariwala, Vinay, J. Fraser Forbes, & Edward S. Meadows. (2005). Minimum variance benchmark for decentralized controllers. DR-NTU (Nanyang Technological University). 1437–1442. 2 indexed citations

Immanuel, Charles D., et al.. (2003). Evolution of multimodal particle size distribution in vinyl acetate/butyl acrylate emulsion copolymerizations. Journal of Polymer Science Part A Polymer Chemistry. 41(14). 2232–2249. 9 indexed citations

Kariwala, Vinay, J. Fraser Forbes, & Edward S. Meadows. (2003). Block Relative Gain: Properties and Pairing Rules. Industrial & Engineering Chemistry Research. 42(20). 4564–4574. 27 indexed citations

Immanuel, Charles D., et al.. (2002). Modeling of particle size distribution in emulsion co-polymerization: comparison with experimental data and parametric sensitivity studies. Computers & Chemical Engineering. 26(7-8). 1133–1152. 70 indexed citations

10.

Gatzke, Edward P., Edward S. Meadows, Chung Wang, & Francis J. Doyle. (2000). Model based control of a four-tank system. Computers & Chemical Engineering. 24(2-7). 1503–1509. 121 indexed citations

11.

Doyle, Francis J. & Edward S. Meadows. (2000). An Interdisciplinary Control Engineering Laboratory Course. IFAC Proceedings Volumes. 33(31). 99–104. 4 indexed citations

12.

Crowley, Timothy J., et al.. (2000). Control of particle size distribution described by a population balance model of semibatch emulsion polymerization. Journal of Process Control. 10(5). 419–432. 127 indexed citations

13.

Doyle, Francis J., et al.. (2000). Innovative Control Education Using a 4-Tank Experiment and The WWW. IFAC Proceedings Volumes. 33(31). 325–330. 2 indexed citations

14.

Crowley, Timothy J., Edward S. Meadows, & Francis J. Doyle. (1999). Numerical issues in solving population balance equations for particle size distribution control in emulsion polymerization. 52. 1138–1142 vol.2. 7 indexed citations

15.

Meadows, Edward S. & James B. Rawlings. (1997). Model predictive control. Prentice-Hall, Inc eBooks. 233–310. 89 indexed citations

16.

Meadows, Edward S.. (1997). Dynamic programming and model predictive control. 1635–1639 vol.3. 13 indexed citations

17.

Scokaert, P.O.M., James B. Rawlings, & Edward S. Meadows. (1997). Discrete-time stability with perturbations: application to model predictive control. Automatica. 33(3). 463–470. 153 indexed citations

18.

Meadows, Edward S., Michael A. Henson, John W. Eaton, & James B. Rawlings. (1995). Receding horizon control and discontinuous state feedback stabilization. International Journal of Control. 62(5). 1217–1229. 107 indexed citations

19.

Rawlings, James B., Edward S. Meadows, & Kenneth R. Muske. (1994). Nonlinear Model Predictive Control: A Tutorial and Survey. IFAC Proceedings Volumes. 27(2). 185–197. 127 indexed citations

20.

Meadows, Edward S. & James B. Rawlings. (1991). Model Identification and Control of A Semibatch Chemical Reactor. 249–255. 7 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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