M.J. Willis

1.1k citations
47 papers · 871 · h-index 12

Impact in

Papers in

    • Fault Detection and Control Systems 33
    • Advanced Control Systems Optimization 31
    • Process Optimization and Integration 8
    • Control Systems and Identification 5
    • Neural Networks and Applications 17
    • Evolutionary Algorithms and Applications 4

M.J. Willis

43 papers receiving 788 citations

Peers

M.J. Willis
Comparison fields: 5 of 89
  • Control and Systems Engineering 583
  • Analytical Chemistry 107
  • Artificial Intelligence 347
  • Mechanical Engineering 117
  • Industrial and Manufacturing Engineering 25
Replace N. Bhat with:
N. Bhat United States
M.T. Tham United Kingdom
C. Di Massimo United Kingdom
X.Z. Wang United Kingdom
Coleman Brosilow United States
Mark Kotanchek United States
Gerard Escudero Spain
Mohammad Anwar Hosen Australia
Bao Lin Denmark
Bradley R. Holt United States
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Citations per field
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Citations per year

Countries citing papers authored by M.J. Willis

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Willis. 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 M.J. Willis. The network helps show where M.J. Willis may publish in the future.

Co-authors

The 25 scholars most cited alongside M.J. Willis, 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 M.J. Willis Line = papers co-authored together M.J. Willis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991207
2 1992165
3 199288
4 199776
5 199969
6 199137
7 200627
8 199024
9 199219
10 199717
11 199115
12
Artificial neural network based control
199111
13
Artificial neural network based multivariable predictive control
19918
14 19977
15 19927
16 19907
17 19937
18 20037
19 19926
20 19976

About M.J. Willis

M.J. Willis is a scholar working on Control and Systems Engineering, Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering and Analytical Chemistry, having authored 47 papers that have together received 871 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (33 papers), Advanced Control Systems Optimization (31 papers), Neural Networks and Applications (17 papers), Process Optimization and Integration (8 papers), Control Systems and Identification (5 papers), Evolutionary Algorithms and Applications (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Control and Systems Engineering (583 citations), Analytical Chemistry (107 citations), Artificial Intelligence (347 citations), Mechanical Engineering (117 citations) and Industrial and Manufacturing Engineering (25 citations). M.J. Willis has collaborated with scholars based in United Kingdom, Australia and Sweden. Frequent co-authors include G.A. Montague, M.T. Tham, C. Di Massimo, A.J. Morris, A.J. Morris, Hugo Hiden, A.R. Wright, Stephen K. Scott, Paul Lant and Andrew Whiting. Their work appears in journals such as Computers & Chemical Engineering, Control Engineering Practice, Journal of Food Engineering, Energy and Chemical Physics Letters.

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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