Michael G. Forbes

51 total papers · 812 total citations
32 papers, 579 citations indexed

About

Michael G. Forbes is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics. According to data from OpenAlex, Michael G. Forbes has authored 32 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 4 papers in Statistics, Probability and Uncertainty and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Michael G. Forbes's work include Fault Detection and Control Systems (27 papers), Advanced Control Systems Optimization (25 papers) and Control Systems and Identification (19 papers). Michael G. Forbes is often cited by papers focused on Fault Detection and Control Systems (27 papers), Advanced Control Systems Optimization (25 papers) and Control Systems and Identification (19 papers). Michael G. Forbes collaborates with scholars based in Canada, United States and China. Michael G. Forbes's co-authors include R. Bhushan Gopaluni, Rohit S. Patwardhan, Martin Guay, J. Fraser Forbes, Johan U. Backström, Philip D. Loewen, Nathan P. Lawrence, Tongwen Chen, Junghui Chen and Kai Wang and has published in prestigious journals such as Automatica, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Michael G. Forbes

31 papers receiving 556 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael G. Forbes	468	74	74	63	39	32	579
Ngoc Phi Nguyen	426 0.9×	68 0.9×	65 0.9×	47 0.7×	12 0.3×	35	651
Andrea Carron	379 0.8×	119 1.6×	57 0.8×	65 1.0×	14 0.4×	42	637
Laya Das	224 0.5×	96 1.3×	47 0.6×	134 2.1×	22 0.6×	28	503
Qiugang Lu	535 1.1×	67 0.9×	105 1.4×	64 1.0×	33 0.8×	45	683
Ramesh Kadali	526 1.1×	50 0.7×	86 1.2×	28 0.4×	58 1.5×	22	587
Guojun Qin	352 0.8×	73 1.0×	209 2.8×	115 1.8×	22 0.6×	52	594
Yunkai Wu	417 0.9×	78 1.1×	136 1.8×	92 1.5×	18 0.5×	34	610
Zhengen Zhao	415 0.9×	79 1.1×	38 0.5×	87 1.4×	14 0.4×	45	510
Xiao Wang	355 0.8×	76 1.0×	96 1.3×	50 0.8×	7 0.2×	26	497
Sudhir Agashe	536 1.1×	72 1.0×	75 1.0×	182 2.9×	8 0.2×	33	686

Countries citing papers authored by Michael G. Forbes

Since Specialization

Citations

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

Fields of papers citing papers by Michael G. Forbes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Forbes. 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 Michael G. Forbes. The network helps show where Michael G. Forbes may publish in the future.

Co-authorship network of co-authors of Michael G. Forbes

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

All Works

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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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