G.A. Montague

3.6k citations
136 papers · 2.6k · h-index 27

Impact in

Papers in

G.A. Montague

132 papers receiving 2.4k citations

Peers

G.A. Montague
Comparison fields: 5 of 139
  • Control and Systems Engineering 1.6k
  • Analytical Chemistry 480
  • Artificial Intelligence 526
  • Statistics, Probability and Uncertainty 117
  • Mechanical Engineering 502
Replace Hector Budman with:
Hector Budman Canada
Massimiliano Barolo Italy
Sandro Macchietto United Kingdom
A.J. Morris United Kingdom
Marco S. Reis Portugal
Antonio A. Alonso Spain
N.L. Ricker United States
Q. Peter He United States
S. Feyo de Azevedo Portugal
Zhiqiang Ge China
G.A. Montague relative to Hector Budman Canada Hector Budman's profile →
Citations per field
00.5×5.2×
Hector Budman · 1×
Citations per year

Countries citing papers authored by G.A. Montague

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Montague

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G.A. Montague, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G.A. Montague Line = papers co-authored together G.A. Montague links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991185
2 1992156
3 2001138
4 1994137
5 1991128
6 200996
7 201481
8 199280
9 200173
10 200770
11 199964
12 199458
13 199256
14 199652
15 201440
16 199440
17 199739
18 201036
19 200033
20 198633

About G.A. Montague

G.A. Montague is a scholar working on Control and Systems Engineering, Analytical Chemistry, Molecular Biology, Artificial Intelligence and Mechanical Engineering, having authored 136 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (77 papers), Advanced Control Systems Optimization (61 papers), Spectroscopy and Chemometric Analyses (32 papers), Mineral Processing and Grinding (26 papers), Neural Networks and Applications (23 papers), Viral Infectious Diseases and Gene Expression in Insects (22 papers), Process Optimization and Integration (16 papers) and Microbial Metabolic Engineering and Bioproduction (15 papers). The work is most often cited by research in Control and Systems Engineering (1.6k citations), Analytical Chemistry (480 citations), Artificial Intelligence (526 citations), Statistics, Probability and Uncertainty (117 citations) and Mechanical Engineering (502 citations). G.A. Montague has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include M.T. Tham, M.J. Willis, A.J. Morris, A.J. Morris, C. Di Massimo, Barry Lennox, Julian Morris, Alan C. Ward, Elaine Martin and Hugo Hiden. Their work appears in journals such as Computers & Chemical Engineering, Biotechnology and Bioengineering, Food and Bioproducts Processing, Journal of Food Engineering and Journal of Biotechnology.

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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