Mark J. Willis

1.5k citations
54 papers · 1.1k · h-index 17

Impact in

Papers in

    • Advanced Control Systems Optimization 19
    • Fault Detection and Control Systems 14
    • Process Optimization and Integration 13
    • Microbial Metabolic Engineering and Bioproduction 12
    • Viral Infectious Diseases and Gene Expression in Insects 6

Mark J. Willis

53 papers receiving 1.1k citations

Peers

Mark J. Willis
Comparison fields: 5 of 116
  • Control and Systems Engineering 295
  • Artificial Intelligence 214
  • Analytical Chemistry 48
  • Catalysis 34
  • Civil and Structural Engineering 101
Replace O.D. Crisalle with:
O.D. Crisalle United States
Dongmin Yu China
S. Feyo de Azevedo Portugal
Ian T. Cameron Australia
C.C. Pantelides United Kingdom
Moritz von Stosch United Kingdom
Jia Zhao China
Bingzhen Chen China
Vassilios S. Vassiliadis United Kingdom
Tong Qiu China
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Citations per field
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O.D. Crisalle · 1×
Citations per year

Countries citing papers authored by Mark J. Willis

Since Specialization
Citations

This map shows the geographic impact of Mark 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 Mark 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 Mark J. Willis more than expected).

Fields of papers citing papers by Mark J. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark 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 Mark J. Willis Line = papers co-authored together Mark 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GPTIPS: An Open Source Genetic Programming Toolbox For Multigene Symbolic Regression
2010258
2 1997105
3 200771
4 202055
5 201637
6 199732
7 200331
8 202130
9 200330
10 200829
11 201726
12 200724
13 200923
14 200723
15 201621
16 200220
17 201920
18 201616
19 199716
20 202014

About Mark J. Willis

Mark J. Willis is a scholar working on Control and Systems Engineering, Molecular Biology, Artificial Intelligence, Biomedical Engineering and Analytical Chemistry, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (19 papers), Fault Detection and Control Systems (14 papers), Process Optimization and Integration (13 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Evolutionary Algorithms and Applications (9 papers), Spectroscopy and Chemometric Analyses (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Control and Systems Engineering (295 citations), Artificial Intelligence (214 citations), Analytical Chemistry (48 citations), Catalysis (34 citations) and Civil and Structural Engineering (101 citations). Mark J. Willis has collaborated with scholars based in United Kingdom, Colombia and Australia. Frequent co-authors include Dominic P. Searson, David E. Leahy, Moritz von Stosch, Ben McKay, Geoffrey W. Barton, G.A. Montague, Víctor Hugo Grisales Díaz, A.R. Wright, Katarina Novakovic and Graeme Clemens. Their work appears in journals such as Computers & Chemical Engineering, Chemical Engineering Science, Physical Chemistry Chemical Physics, AIChE Journal and Biotechnology Progress.

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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