Dominic P. Searson
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Mechanical Engineering
- Molecular Biology
- Control and Systems Engineering
- Co-authors
- Mark J. WillisDavid E. LeahyG.A. MontagueA.R. WrightSamantha C. BurnhamBen McKayM.J. WillisAndrew Wright
- Topics
- Evolutionary Algorithms and Applications (6 papers)Advanced Control Systems Optimization (5 papers)Computational Drug Discovery Methods (3 papers)
- Cited by
- Civil and Structural EngineeringArtificial IntelligenceComputational Theory and Mathematics
- Journals
- Chemical Engineering ScienceJournal of ChemometricsTransactions of the Institute of Measurement and Control
- Partner nations
- United Kingdom
In The Last Decade
Dominic P. Searson
15 papers receiving 389 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 115
- Civil and Structural Engineering 92
- Mechanical Engineering 63
- Molecular Biology 54
- Control and Systems Engineering 53
Countries citing papers authored by Dominic P. Searson
This map shows the geographic impact of Dominic P. Searson'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 Dominic P. Searson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominic P. Searson more than expected).
Fields of papers citing papers by Dominic P. Searson
This network shows the impact of papers produced by Dominic P. Searson. 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 Dominic P. Searson. The network helps show where Dominic P. Searson may publish in the future.
Co-authorship network of co-authors of Dominic P. Searson
This figure shows the co-authorship network connecting the top 25 collaborators of Dominic P. Searson. A scholar is included among the top collaborators of Dominic P. Searson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dominic P. Searson. Dominic P. Searson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Cloud Computing for Chemical Activity Prediction | 1 |
| 2 | 12 | |
| 3 | GPTIPS: An Open Source Genetic Programming Toolbox For Multigene Symbolic Regression | 258 |
| 4 | 8 | |
| 5 | Accelerating Chemical Property Prediction with Cloud Computing | 1 |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 70 | |
| 9 | 23 | |
| 10 | Identification of chemical reaction mechanism from batch process data | 3 |
| 11 | Modelling of chemical processes using S-systems | 3 |
| 12 | Towards the automated deduction of chemical reaction mechanism | 2 |
| 13 | 6 | |
| 14 | Non-linear continuum regression using genetic programming | 9 |
| 15 | 6 |
About Dominic P. Searson
Dominic P. Searson is a scholar working on Control and Systems Engineering, Analytical Chemistry and Computational Theory and Mathematics, having authored 15 papers that have together received 411 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (6 papers), Advanced Control Systems Optimization (5 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Civil and Structural Engineering (92 citations), Artificial Intelligence (115 citations) and Computational Theory and Mathematics (40 citations). Dominic P. Searson has collaborated with scholars based in United Kingdom. Frequent co-authors include Mark J. Willis, David E. Leahy, G.A. Montague, A.R. Wright, Samantha C. Burnham, Ben McKay, M.J. Willis, Andrew Wright, Simon Woodman and Paul Watson. Their work appears in journals such as Chemical Engineering Science, Journal of Chemometrics and Transactions of the Institute of Measurement and Control.
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.