Lawrence Megan
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- Advanced Control Systems Optimization 13
- Fault Detection and Control Systems 8
- Process Optimization and Integration 6
- Iterative Learning Control Systems 3
- Control Systems and Identification 3
- Management Information Systems top 10%
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- Mineral Processing and Grinding 2
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- Neural Networks and Applications 2
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- Spectroscopy and Chemometric Analyses 2
- Co-authors
- Michael A. HensonJesus Flores‐CerrilloChristos T. MaraveliasK.A. SubramanianJames B. RawlingsDouglas J. CooperDoug CooperZhongzhou Chen
- Cited by
- Control and Systems EngineeringManagement Information SystemsIndustrial and Manufacturing Engineering
- Journals
- Computers & Chemical Engineering (5 papers)Industrial & Engineering Chemistry Research (2 papers)IEEE Control Systems (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Lawrence Megan
17 papers receiving 386 citations
Peers
Comparison fields: 5 of 55
- Control and Systems Engineering 310
- Management Information Systems 41
- Industrial and Manufacturing Engineering 41
- Mechanical Engineering 63
- Artificial Intelligence 50
Countries citing papers authored by Lawrence Megan
This map shows the geographic impact of Lawrence Megan'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 Lawrence Megan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Megan more than expected).
Fields of papers citing papers by Lawrence Megan
This network shows the impact of papers produced by Lawrence Megan. 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 Lawrence Megan. The network helps show where Lawrence Megan may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Lawrence Megan, 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 | 2013 | 16 | |
| 2 | 2013 | 2 | |
| 3 | 2012 | 7 | |
| 4 | 2012 | 85 | |
| 5 | A Comparison of Spatial Prediction Techniques Using Both Hard and Soft Data | 2011 | 3 |
| 6 | 2009 | 38 | |
| 7 | 2005 | 40 | |
| 8 | 2005 | 24 | |
| 9 | 2004 | 48 | |
| 10 | 2004 | 5 | |
| 11 | 2001 | 49 | |
| 12 | 1995 | 6 | |
| 13 | 1994 | 1 | |
| 14 | 1992 | 34 | |
| 15 | 1992 | 7 | |
| 16 | 1992 | 11 | |
| 17 | 1990 | 17 |
About Lawrence Megan
Lawrence Megan is a scholar working on Control and Systems Engineering, Analytical Chemistry and Bioengineering, having authored 17 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (13 papers), Fault Detection and Control Systems (8 papers), Process Optimization and Integration (6 papers), Iterative Learning Control Systems (3 papers), Control Systems and Identification (3 papers), Neural Networks and Applications (2 papers), Mineral Processing and Grinding (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Control and Systems Engineering (310 citations), Management Information Systems (41 citations) and Industrial and Manufacturing Engineering (41 citations). Lawrence Megan has collaborated with scholars based in United States and Canada. Frequent co-authors include Michael A. Henson, Jesus Flores‐Cerrillo, Christos T. Maravelias, K.A. Subramanian, James B. Rawlings, Douglas J. Cooper, Doug Cooper, Zhongzhou Chen, S. Joe Qin and Jie Yu. Their work appears in journals such as Computers & Chemical Engineering, Industrial & Engineering Chemistry Research, IEEE Control Systems, The Canadian Journal of Chemical Engineering and IEEE Transactions on Control Systems Technology.
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.