Mark J. Willis
Impact in
-
- Advanced Control Systems Optimization
- Process Optimization and Integration
- Fault Detection and Control Systems
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
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- Advanced Control Systems Optimization 19
- Fault Detection and Control Systems 14
- Process Optimization and Integration 13
-
- Spectroscopy and Chemometric Analyses 6
- Co-authors
- Dominic P. SearsonDavid E. LeahyBen McKayMoritz von StoschGeoffrey W. BartonG.A. MontagueVíctor Hugo Grisales DíazA.R. Wright
- Journals
- Computers & Chemical Engineering (8 papers)Chemical Engineering Science (3 papers)Applied Energy (2 papers)AIChE Journal (2 papers)Biotechnology Progress (2 papers)
- Partner nations
- United KingdomColombiaAustralia
In The Last Decade
Mark J. Willis
53 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 117
- Control and Systems Engineering 296
- Artificial Intelligence 214
- Analytical Chemistry 48
- Catalysis 34
- Civil and Structural Engineering 101
Countries citing papers authored by Mark J. Willis
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2020 | 7 | |
| 3 | 2020 | 53 | |
| 4 | 2020 | 14 | |
| 5 | 2012 | 3 | |
| 6 | GPTIPS: An Open Source Genetic Programming Toolbox For Multigene Symbolic Regression | 2010 | 258 |
| 7 | 2009 | 23 | |
| 8 | 2009 | 9 | |
| 9 | 2008 | 1 | |
| 10 | 2007 | 8 | |
| 11 | 2007 | 70 | |
| 12 | 2007 | 24 | |
| 13 | Identification of chemical reaction mechanism from batch process data | 2006 | 3 |
| 14 | Predictive scheduling of a bioprocess plant | 2003 | 1 |
| 15 | 2002 | 19 | |
| 16 | Non-linear continuum regression using genetic programming | 1999 | 9 |
| 17 | Dynamic chemical process modelling using a Multiple Basis Function Genetic Programming algorithm | 1999 | 2 |
| 18 | 1998 | 9 | |
| 19 | 1997 | 105 | |
| 20 | 1997 | 16 |
About Mark J. Willis
Mark J. Willis is a scholar working on Control and Systems Engineering, Analytical Chemistry, Modeling and Simulation, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 53 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), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Spectroscopy and Chemometric Analyses (6 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Control and Systems Engineering (296 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, Ben McKay, Moritz von Stosch, Geoffrey W. Barton, G.A. Montague, Víctor Hugo Grisales Díaz, A.R. Wright, Katarina Novakovic and Brian Taylor. Their work appears in journals such as Computers & Chemical Engineering, Chemical Engineering Science, Applied Energy, 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.