Adam D. Clayton

1.4k total citations · 1 hit paper
29 papers, 1.1k citations indexed

About

Adam D. Clayton is a scholar working on Biomedical Engineering, Spectroscopy and Control and Systems Engineering. According to data from OpenAlex, Adam D. Clayton has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 9 papers in Spectroscopy and 8 papers in Control and Systems Engineering. Recurrent topics in Adam D. Clayton's work include Innovative Microfluidic and Catalytic Techniques Innovation (21 papers), Analytical Chemistry and Chromatography (9 papers) and Process Optimization and Integration (8 papers). Adam D. Clayton is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (21 papers), Analytical Chemistry and Chromatography (9 papers) and Process Optimization and Integration (8 papers). Adam D. Clayton collaborates with scholars based in United Kingdom, Singapore and Belgium. Adam D. Clayton's co-authors include Richard A. Bourne, Thomas W. Chamberlain, Artur M. Schweidtmann, Alexei A. Lapkin, Eric Bradford, Nicholas Holmes, Jamie A. Manson, A. John Blacker, Connor J. Taylor and Graeme Clemens and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Engineering Journal and Chemistry - A European Journal.

In The Last Decade

Adam D. Clayton

29 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives

2018 255 citations Artur M. Schweidtmann, Adam D. Clayton et al. Chemical Engineering Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Adam D. Clayton United Kingdom	15	651	379	213	172	170	29	1.1k
Connor J. Taylor United Kingdom	12	464 0.7×	312 0.8×	155 0.7×	119 0.7×	126 0.7×	16	864
Brandon J. Reizman United States	9	668 1.0×	293 0.8×	200 0.9×	138 0.8×	83 0.5×	12	861
Travis Hart United States	8	478 0.7×	519 1.4×	114 0.5×	211 1.2×	77 0.5×	10	1.0k
Vincenza Dragone United Kingdom	6	934 1.4×	485 1.3×	145 0.7×	193 1.1×	42 0.2×	8	1.5k
Pieter Plehiers Belgium	9	398 0.6×	517 1.4×	96 0.5×	210 1.2×	109 0.6×	10	1.1k
Jason M. Stevens United States	17	360 0.6×	523 1.4×	453 2.1×	315 1.8×	91 0.5×	26	1.4k
Nicholas Holmes United Kingdom	7	435 0.7×	207 0.5×	97 0.5×	90 0.5×	125 0.7×	7	617
Florence H. Vermeire Belgium	17	348 0.5×	574 1.5×	108 0.5×	188 1.1×	72 0.4×	49	1.3k
Hanyu Gao China	16	511 0.8×	907 2.4×	227 1.1×	328 1.9×	99 0.6×	56	1.7k
Daniel E. Fitzpatrick United Kingdom	15	1.2k 1.8×	352 0.9×	512 2.4×	348 2.0×	83 0.5×	22	1.5k

Countries citing papers authored by Adam D. Clayton

Since Specialization

Citations

This map shows the geographic impact of Adam D. Clayton'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 Adam D. Clayton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam D. Clayton more than expected).

Fields of papers citing papers by Adam D. Clayton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam D. Clayton. 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 Adam D. Clayton. The network helps show where Adam D. Clayton may publish in the future.

Co-authorship network of co-authors of Adam D. Clayton

This figure shows the co-authorship network connecting the top 25 collaborators of Adam D. Clayton. A scholar is included among the top collaborators of Adam D. Clayton 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 Adam D. Clayton. Adam D. Clayton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Clayton, Adam D., et al.. (2025). Multi-Objective Bayesian Optimization of Continuous Purifications with Automated Phase Separation for On-Demand Manufacture of DEHiBA. Separation and Purification Technology. 361. 131288–131288. 2 indexed citations

2.

Dixon, Thomas M., Maximilian O. Besenhard, Roger M. Howard, et al.. (2024). Operator-free HPLC automated method development guided by Bayesian optimization. Digital Discovery. 3(8). 1591–1601. 14 indexed citations

3.

Dixon, Thomas M., Kevin Leslie, Graeme Clemens, et al.. (2024). Automated Optimization of a Multistep, Multiphase Continuous Flow Process for Pharmaceutical Synthesis. ACS Sustainable Chemistry & Engineering. 12(41). 15125–15133. 5 indexed citations

4.

Blacker, A. John, et al.. (2024). Droplet microfluidic flow platforms for automated reaction screening and optimisation. Current Opinion in Green and Sustainable Chemistry. 48. 100940–100940. 3 indexed citations

5.

Manson, Jamie A., et al.. (2023). Adaptive mixed variable Bayesian self-optimisation of catalytic reactions. Reaction Chemistry & Engineering. 9(2). 308–316. 12 indexed citations

6.

Clayton, Adam D., Oliver May, Stuart Notman, et al.. (2023). Exploring the chemical space of phenyl sulfide oxidation by automated optimization. Reaction Chemistry & Engineering. 8(3). 538–542. 9 indexed citations

7.

Clayton, Adam D., et al.. (2023). A self-optimised approach to synthesising DEHiBA for advanced nuclear reprocessing, exploiting the power of machine-learning. Reaction Chemistry & Engineering. 9(2). 426–438. 2 indexed citations

8.

Clayton, Adam D.. (2023). Recent Developments in Reactor Automation for Multistep Chemical Synthesis. Chemistry - Methods. 3(12). 17 indexed citations

9.

Ávila, Claudio, Thierry Kogej, Javier Mazuela, et al.. (2022). Automated stopped-flow library synthesis for rapid optimisation and machine learning directed experimentation. Chemical Science. 13(41). 12087–12099. 23 indexed citations

10.

Clayton, Adam D., William R. Reynolds, David R. J. Hose, et al.. (2021). Selective separation of amines from continuous processes using automated pH controlled extraction. Reaction Chemistry & Engineering. 6(10). 1806–1810. 7 indexed citations

11.

Clayton, Adam D., Ricardo Labes, & A. John Blacker. (2020). Combination of chemocatalysis and biocatalysis in flow. Current Opinion in Green and Sustainable Chemistry. 26. 100378–100378. 16 indexed citations

12.

Clayton, Adam D., William R. Reynolds, David R. J. Hose, et al.. (2020). Self-optimising reactive extractions: towards the efficient development of multi-step continuous flow processes. Journal of Flow Chemistry. 10(1). 199–206. 26 indexed citations

13.

Blacker, A. John, Adam D. Clayton, Katherine E. Jolley, et al.. (2020). A practical experiment to teach students continuous flow and physico-chemical methods: acetylation of ethylene diamine in liquid bi-phase. Journal of Flow Chemistry. 11(1). 31–36. 2 indexed citations

14.

Clayton, Adam D., Richard A. Bourne, Anna Codina, et al.. (2019). Kinetic Treatments for Catalyst Activation and Deactivation Processes based on Variable Time Normalization Analysis. Angewandte Chemie International Edition. 58(30). 10189–10193. 56 indexed citations

15.

Clayton, Adam D., Richard A. Bourne, Anna Codina, et al.. (2019). Kinetic Treatments for Catalyst Activation and Deactivation Processes based on Variable Time Normalization Analysis. Angewandte Chemie. 131(30). 10295–10299. 13 indexed citations

16.

Doherty, Simon, Julian G. Knight, Andrew P. Bradford, et al.. (2018). Highly efficient aqueous phase reduction of nitroarenes catalyzed by phosphine-decorated polymer immobilized ionic liquid stabilized PdNPs. Catalysis Science & Technology. 8(5). 1454–1467. 66 indexed citations

17.

Schweidtmann, Artur M., Adam D. Clayton, Nicholas Holmes, et al.. (2018). Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives. Chemical Engineering Journal. 352. 277–282. 255 indexed citations breakdown →

18.

Chapman, Michael, Georgina E. King, Katherine E. Jolley, et al.. (2017). Simple and Versatile Laboratory Scale CSTR for Multiphasic Continuous-Flow Chemistry and Long Residence Times. Organic Process Research & Development. 21(9). 1294–1301. 90 indexed citations

19.

Clayton, Adam D., et al.. (2016). Catalytic sp³–sp³ Functionalisation of Sulfonamides: Late‐Stage Modification of Drug‐Like Molecules. Chemistry - A European Journal. 23(7). 1494–1497. 6 indexed citations

20.

Knight, Martha, et al.. (2011). Spiral counter-current chromatography of small molecules, peptides and proteins using the spiral tubing support rotor. Journal of Chromatography A. 1218(36). 6148–6155. 16 indexed citations

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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