Ben McLean

831 citations
27 papers · 655 · h-index 14

Impact in

  • Catalysis top 5%
    • Ionic liquids properties and applications
    • Carbon Nanotubes in Composites
    • Graphene research and applications
    • Boron and Carbon Nanomaterials Research
    • Machine Learning in Materials Science
    • 2D Materials and Applications

Papers in

    • Boron and Carbon Nanomaterials Research 9
    • Carbon Nanotubes in Composites 8
    • Graphene research and applications 6
    • Machine Learning in Materials Science 1
    • Diatoms and Algae Research 2

Ben McLean

24 papers receiving 646 citations

Peers

Ben McLean
Comparison fields: 5 of 50
  • Catalysis 138
  • Materials Chemistry 359
  • Electronic, Optical and Magnetic Materials 32
  • Electrochemistry 5
  • Renewable Energy, Sustainability and the Environment 23
Replace Godwin Severa with:
Godwin Severa United States
Anastasia A. Efimova Germany
Xuguang Wang China
Young Chai Kim South Korea
Peter Robert Walke Belgium
Anup Lal Dadlani United States
Émilie Bordes France
Liangliang Gu China
Masashi Kondoh Japan
Ben McLean relative to Godwin Severa United States Godwin Severa's profile →
Citations per field
00.5×2×3×4×5×
Godwin Severa · 1×
Citations per year

Countries citing papers authored by Ben McLean

Since Specialization
Citations

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

Fields of papers citing papers by Ben McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ben McLean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben McLean Line = papers co-authored together Ben McLean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202288
2 201674
3 201470
4 202265
5 202460
6 202147
7 201636
8 202132
9 202030
10 201928
11 201727
12 202218
13 201817
14 202015
15 202412
16 202211
17 201910
18 20204
19 20223
20 20222

About Ben McLean

Ben McLean is a scholar working on Materials Chemistry, Biomaterials, Catalysis, Polymers and Plastics and Electronic, Optical and Magnetic Materials, having authored 27 papers that have together received 655 indexed citations. Recurring topics across this work include Boron and Carbon Nanomaterials Research (9 papers), Carbon Nanotubes in Composites (8 papers), Graphene research and applications (6 papers), Diatoms and Algae Research (2 papers), Ionic liquids properties and applications (2 papers), Machine Learning in Materials Science (1 paper), Advanced Chemical Physics Studies (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Catalysis (138 citations), Materials Chemistry (359 citations), Electronic, Optical and Magnetic Materials (32 citations), Electrochemistry (5 citations) and Renewable Energy, Sustainability and the Environment (23 citations). Ben McLean has collaborated with scholars based in Australia, South Korea and China. Frequent co-authors include Alister J. Page, Feng Ding, Grant B. Webber, Daniel Hedman, Rob Atkin, Gregory G. Warr, Fengning Liu, Pai Li, Ryan Stefanovic and Esko I. Kauppinen. Their work appears in journals such as The Journal of Physical Chemistry C, Advanced Functional Materials, Nanoscale, Physical Chemistry Chemical Physics and Journal of Applied Physics.

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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