Benjamin P. MacLeod

1.3k total citations
24 papers, 947 citations indexed

About

Benjamin P. MacLeod is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Benjamin P. MacLeod has authored 24 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 6 papers in Biomedical Engineering. Recurrent topics in Benjamin P. MacLeod's work include Machine Learning in Materials Science (6 papers), Electrocatalysts for Energy Conversion (5 papers) and Berberine and alkaloids research (4 papers). Benjamin P. MacLeod is often cited by papers focused on Machine Learning in Materials Science (6 papers), Electrocatalysts for Energy Conversion (5 papers) and Berberine and alkaloids research (4 papers). Benjamin P. MacLeod collaborates with scholars based in Canada, United States and Singapore. Benjamin P. MacLeod's co-authors include Curtis P. Berlinguette, Rebecca S. Sherbo, Roxanna S. Delima, Peter J. Facchini, David K. Liscombe, Natalia Loukanina, Owi I. Nandi, D. K. Fork, Fraser G. L. Parlane and David Dvořák and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nature Materials.

In The Last Decade

Benjamin P. MacLeod

23 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin P. MacLeod Canada 11 302 273 230 166 149 24 947
Yuanyuan Wang China 18 77 0.3× 185 0.7× 137 0.6× 384 2.3× 247 1.7× 82 1.2k
Long Wang China 22 174 0.6× 277 1.0× 140 0.6× 91 0.5× 198 1.3× 86 1.3k
Wei Tan China 20 87 0.3× 429 1.6× 226 1.0× 163 1.0× 197 1.3× 54 1.1k
Katsuhiro Takahashi Japan 20 141 0.5× 123 0.5× 388 1.7× 48 0.3× 260 1.7× 65 1.4k
Nimesh Shah India 17 195 0.6× 462 1.7× 280 1.2× 157 0.9× 58 0.4× 24 1.3k
Weili Cui China 17 127 0.4× 413 1.5× 126 0.5× 98 0.6× 361 2.4× 52 1.1k
Bolin Zhu China 25 373 1.2× 688 2.5× 195 0.8× 201 1.2× 189 1.3× 154 2.4k

Countries citing papers authored by Benjamin P. MacLeod

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin P. MacLeod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin P. MacLeod. 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 Benjamin P. MacLeod. The network helps show where Benjamin P. MacLeod may publish in the future.

Co-authorship network of co-authors of Benjamin P. MacLeod

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin P. MacLeod. A scholar is included among the top collaborators of Benjamin P. MacLeod 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 Benjamin P. MacLeod. Benjamin P. MacLeod 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.
Tian, Siyu, Zekun Ren, Selvaraj Venkataraj, et al.. (2024). Correction: Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films. Digital Discovery. 3(5). 1068–1068.
2.
Tian, Siyu, Zekun Ren, Selvaraj Venkataraj, et al.. (2023). Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films. Digital Discovery. 2(5). 1334–1346. 6 indexed citations
3.
MacLeod, Benjamin P., Mehrdad Mokhtari, Kevan E. Dettelbach, et al.. (2023). A self-driving laboratory optimizes a scalable process for making functional coatings. Cell Reports Physical Science. 4(5). 101411–101411. 10 indexed citations
4.
MacLeod, Benjamin P., Fraser G. L. Parlane, & Curtis P. Berlinguette. (2023). How to build an effective self-driving laboratory. MRS Bulletin. 48(2). 173–178. 8 indexed citations
5.
Rooney, Michael B., et al.. (2022). A self-driving laboratory designed to accelerate the discovery of adhesive materials. Digital Discovery. 1(4). 382–389. 34 indexed citations
6.
MacLeod, Benjamin P., Fraser G. L. Parlane, Kevan E. Dettelbach, et al.. (2022). A self-driving laboratory advances the Pareto front for material properties. Nature Communications. 13(1). 995–995. 127 indexed citations
7.
MacLeod, Benjamin P., Edward P. Booker, Muriel Matheron, et al.. (2022). A machine vision tool for facilitating the optimization of large-area perovskite photovoltaics. 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC). 1072–1072. 1 indexed citations
8.
Delima, Roxanna S., Benjamin P. MacLeod, Arthur G. Fink, et al.. (2021). Selective hydrogenation of furfural using a membrane reactor. Energy & Environmental Science. 15(1). 215–224. 75 indexed citations
9.
MacLeod, Benjamin P., Edward P. Booker, Muriel Matheron, et al.. (2021). A machine vision tool for facilitating the optimization of large-area perovskite photovoltaics. npj Computational Materials. 7(1). 22 indexed citations
10.
MacLeod, Benjamin P., et al.. (2021). Flexible automation accelerates materials discovery. Nature Materials. 21(7). 722–726. 66 indexed citations
11.
Jansonius, Ryan P., Phil A. Schauer, David Dvořák, et al.. (2020). Strain Influences the Hydrogen Evolution Activity and Absorption Capacity of Palladium. Angewandte Chemie International Edition. 59(29). 12192–12198. 35 indexed citations
12.
Jansonius, Ryan P., Phil A. Schauer, David Dvořák, et al.. (2020). Strain Influences the Hydrogen Evolution Activity and Absorption Capacity of Palladium. Angewandte Chemie. 132(29). 12290–12296. 9 indexed citations
13.
MacLeod, Benjamin P., D. K. Fork, Brian Lam, & Curtis P. Berlinguette. (2019). Calorimetry under non-ideal conditions using system identification. Journal of Thermal Analysis and Calorimetry. 138(5). 3139–3157. 2 indexed citations
14.
Johnson, Noah J. J., Brian Lam, Benjamin P. MacLeod, et al.. (2019). Facets and vertices regulate hydrogen uptake and release in palladium nanocrystals. Nature Materials. 18(5). 454–458. 120 indexed citations
15.
Schenkel, T., Arun Persaud, P.A. Seidl, et al.. (2019). Investigation of light ion fusion reactions with plasma discharges. Journal of Applied Physics. 126(20). 5 indexed citations
16.
Sherbo, Rebecca S., et al.. (2018). Complete electron economy by pairing electrolysis with hydrogenation. Nature Catalysis. 1(7). 501–507. 186 indexed citations
17.
MacLeod, Benjamin P., Jennifer E. Hoffman, Sarah A. Burke, & D. A. Bonn. (2016). Acoustic buffeting by infrasound in a low vibration facility. Review of Scientific Instruments. 87(9). 93901–93901. 3 indexed citations
18.
MacLeod, Benjamin P.. (2015). An ultra-low-vibration facility for housing a dilution temperature scanning tunneling microscope. Open Collections. 2 indexed citations
19.
Liscombe, David K., Benjamin P. MacLeod, Natalia Loukanina, Owi I. Nandi, & Peter J. Facchini. (2005). Evidence for the monophyletic evolution of benzylisoquinoline alkaloid biosynthesis in angiosperms. Phytochemistry. 66(11). 1374–1393. 172 indexed citations
20.
MacLeod, Benjamin P. & Peter J. Facchini. (2005). Methods for Regeneration and Transformation in <I>Eschscholzia californica</I>: A Model Plant to Investigate Alkaloid Biosynthesis. Humana Press eBooks. 318. 357–368. 4 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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