Lachlan Mason

637 total citations
31 papers, 514 citations indexed

About

Lachlan Mason is a scholar working on Biomedical Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Lachlan Mason has authored 31 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 7 papers in Materials Chemistry and 6 papers in Artificial Intelligence. Recurrent topics in Lachlan Mason's work include High voltage insulation and dielectric phenomena (6 papers), Nuclear and radioactivity studies (4 papers) and Concrete Corrosion and Durability (4 papers). Lachlan Mason is often cited by papers focused on High voltage insulation and dielectric phenomena (6 papers), Nuclear and radioactivity studies (4 papers) and Concrete Corrosion and Durability (4 papers). Lachlan Mason collaborates with scholars based in United Kingdom, United States and Australia. Lachlan Mason's co-authors include James Hilton, Paul W. Cleary, Geoffrey W. Stevens, Albert B. Reynolds, Dalton J. E. Harvie, Indranil Pan, Davide Ciceri, Jilska M. Perera, Omar K. Matar and Timothy E. Doyle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Chemical Engineering Science.

In The Last Decade

Lachlan Mason

30 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lachlan Mason United Kingdom 12 187 147 108 88 71 31 514
Anugrah Singh India 19 407 2.2× 314 2.1× 173 1.6× 210 2.4× 185 2.6× 54 979
Han Wang China 18 249 1.3× 196 1.3× 437 4.0× 254 2.9× 66 0.9× 69 920
Zhangmao Hu China 13 198 1.1× 291 2.0× 21 0.2× 202 2.3× 69 1.0× 32 586
Yanan Qian China 13 107 0.6× 140 1.0× 108 1.0× 162 1.8× 121 1.7× 35 561
F.Y. Wang Australia 14 190 1.0× 42 0.3× 75 0.7× 128 1.5× 41 0.6× 23 473
Junqi Huang United States 15 29 0.2× 142 1.0× 65 0.6× 240 2.7× 47 0.7× 43 619
Shu-sheng Chen China 16 407 2.2× 117 0.8× 13 0.1× 59 0.7× 44 0.6× 57 752
Akbar Shahsavand Iran 16 113 0.6× 119 0.8× 97 0.9× 308 3.5× 107 1.5× 44 670
Kurt Leschonski Germany 11 154 0.8× 68 0.5× 63 0.6× 114 1.3× 56 0.8× 44 429

Countries citing papers authored by Lachlan Mason

Since Specialization
Citations

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

Fields of papers citing papers by Lachlan Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lachlan Mason. 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 Lachlan Mason. The network helps show where Lachlan Mason may publish in the future.

Co-authorship network of co-authors of Lachlan Mason

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

All Works

20 of 20 papers shown
1.
Mason, Lachlan, et al.. (2022). Rule-based Bayesian regression. Statistics and Computing. 32(3). 3 indexed citations
2.
Pan, Indranil, et al.. (2022). Multiphase flow applications of nonintrusive reduced-order models with Gaussian process emulation. SHILAP Revista de lepidopterología. 3. 3 indexed citations
3.
Mason, Lachlan, et al.. (2022). RangL: A Reinforcement Learning Competition Platform. SSRN Electronic Journal. 1 indexed citations
4.
Mason, Lachlan, et al.. (2021). Reinforcing the role of competition platforms. Patterns. 2(8). 100326–100326. 1 indexed citations
5.
Pan, Indranil, Lachlan Mason, & Omar K. Matar. (2021). Data-centric Engineering: integrating simulation, machine learning and statistics. Challenges and opportunities. Chemical Engineering Science. 249. 117271–117271. 49 indexed citations
6.
Hsu, Wei‐Lun, Mirco Magnini, Lachlan Mason, et al.. (2020). Single-bubble dynamics in nanopores: Transition between homogeneous and heterogeneous nucleation. Physical Review Research. 2(4). 17 indexed citations
7.
Maulik, Romit, et al.. (2020). Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation. Physica D Nonlinear Phenomena. 416. 132797–132797. 28 indexed citations
8.
Picinali, Lorenzo, et al.. (2019). Use of Multi-sensory Immersive Technologies in Fluid Dynamics Education. Bulletin of the American Physical Society. 1 indexed citations
9.
Pan, Indranil, et al.. (2019). Active learning methodologies for surrogate model development in CFD applications. APS Division of Fluid Dynamics Meeting Abstracts. 2 indexed citations
10.
Mason, Lachlan, et al.. (2018). Will it flood? Classifying entrainment outcomes via machine learning. Bulletin of the American Physical Society. 1 indexed citations
11.
Mason, Lachlan, et al.. (2015). The specific reactive surface area of granular zero-valent iron in metal contaminant removal: Column experiments and modelling. Water Research. 77. 24–34. 17 indexed citations
12.
Ciceri, Davide, Lachlan Mason, Dalton J. E. Harvie, Jilska M. Perera, & Geoffrey W. Stevens. (2012). Modelling of interfacial mass transfer in microfluidic solvent extraction: part II. Heterogeneous transport with chemical reaction. Microfluidics and Nanofluidics. 14(1-2). 213–224. 32 indexed citations
13.
Mason, Lachlan, Geoffrey W. Stevens, & Dalton J. E. Harvie. (2012). Multi-scale volume of fluid modelling of droplet coalescence. 6 indexed citations
14.
Mason, Lachlan, Timothy E. Doyle, & Albert B. Reynolds. (2003). Effect of antioxidant concentration and radiation dose on oxidation induction time. 91. 169–172. 2 indexed citations
15.
Measday, D.F., Trevor J. Stocki, Lachlan Mason, & D. L. Williams. (2001). DETECTION OF ANTHROPOGENIC RADIONUCLIDES BY THE CA002 MONITORING STATION FOR THE COMPREHENSIVE TEST BAN TREATY. Health Physics. 80(2). 126–136. 5 indexed citations
16.
Biegalski, Steven, B. Hosticka, & Lachlan Mason. (2001). Cesium-137 concentrations, trends, and sources observed in Kuwait City, Kuwait. Journal of Radioanalytical and Nuclear Chemistry. 248(3). 643–649. 16 indexed citations
17.
Biegalski, Steven, et al.. (2001). Caribbean radiation early warning system (CREWS). Journal of Radioanalytical and Nuclear Chemistry. 248(3). 637–642. 2 indexed citations
18.
Mason, Lachlan & Albert B. Reynolds. (1997). Standardization of oxidation induction time testing used in life assessment of polymeric electric cables. Journal of Applied Polymer Science. 66(9). 1691–1702. 21 indexed citations
19.
Reynolds, Albert B., et al.. (1995). Dose-rate effects on the radiation-induced oxidation of electric cable used in nuclear power plants. Radiation Physics and Chemistry. 45(1). 103–110. 17 indexed citations
20.
Mason, Lachlan. (1970). A look at range relicts.. 25(1). 18–19. 1 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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