Dominic P. Searson

780 total citations
15 papers, 411 citations indexed

About

Dominic P. Searson is a scholar working on Molecular Biology, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Dominic P. Searson has authored 15 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Control and Systems Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Dominic P. Searson's work include Evolutionary Algorithms and Applications (6 papers), Advanced Control Systems Optimization (5 papers) and Computational Drug Discovery Methods (3 papers). Dominic P. Searson is often cited by papers focused on Evolutionary Algorithms and Applications (6 papers), Advanced Control Systems Optimization (5 papers) and Computational Drug Discovery Methods (3 papers). Dominic P. Searson collaborates with scholars based in United Kingdom. Dominic P. Searson's 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 and has published in prestigious journals such as Chemical Engineering Science, Journal of Chemometrics and Transactions of the Institute of Measurement and Control.

In The Last Decade

Dominic P. Searson

15 papers receiving 389 citations

Peers

Dominic P. Searson
Comparison fields: 5 of 88
  • Artificial Intelligence 115
  • Civil and Structural Engineering 92
  • Mechanical Engineering 63
  • Molecular Biology 54
  • Control and Systems Engineering 53
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Yashuang Mu China
Stefan Sette Belgium
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Linhua Zhang China
Sanghun Kim South Korea
A. Helen Victoria India
Yunsheng Song China
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Citations per field, relative to Dominic P. Searson
Dominic P. Searson · 1×
Citations per year, relative to Dominic P. Searson
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Countries citing papers authored by Dominic P. Searson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

15 of 15 papers shown
# 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

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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