M.A. Cousins

739 citations
12 papers · 612 · h-index 9

Impact in

Papers in

M.A. Cousins

11 papers receiving 588 citations

Peers

M.A. Cousins
Comparison fields: 5 of 47
  • Process Chemistry and Technology 21
  • Materials Chemistry 325
  • Organic Chemistry 189
  • Inorganic Chemistry 80
  • Electrical and Electronic Engineering 274
Replace David C. Boyd with:
David C. Boyd United States
Subhash Baral United States
Timothy W. Weidman United States
M. Zocchi Italy
Colin L. Honeybourne United Kingdom
Paul van der Sluis Netherlands
Konstantinos Kotsis Germany
Stefan A. Quaiser Germany
Bo Yun Kim South Korea
Robert C. Wheland United States
M.A. Cousins relative to David C. Boyd United States David C. Boyd's profile →
Citations per field
00.5×2.6×
David C. Boyd · 1×
Citations per year

Countries citing papers authored by M.A. Cousins

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Cousins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Cousins. 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 M.A. Cousins. The network helps show where M.A. Cousins may publish in the future.

Co-authors

The 19 scholars most cited alongside M.A. Cousins, 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 M.A. Cousins Line = papers co-authored together M.A. Cousins links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2003237
2 196487
3 196385
4 200254
5 200045
6 196936
7 200029
8 201013
9 200311
10 20088
11 20037
12 20040

About M.A. Cousins

M.A. Cousins is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Organic Chemistry, Renewable Energy, Sustainability and the Environment and Pharmaceutical Science, having authored 12 papers that have together received 612 indexed citations. Recurring topics across this work include Chalcogenide Semiconductor Thin Films (7 papers), Quantum Dots Synthesis And Properties (6 papers), Advanced Semiconductor Detectors and Materials (3 papers), Metalloenzymes and iron-sulfur proteins (2 papers), Organometallic Complex Synthesis and Catalysis (2 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Polyoxometalates: Synthesis and Applications (2 papers) and Fluorine in Organic Chemistry (1 paper). The work is most often cited by research in Process Chemistry and Technology (21 citations), Materials Chemistry (325 citations), Organic Chemistry (189 citations), Inorganic Chemistry (80 citations) and Electrical and Electronic Engineering (274 citations). M.A. Cousins has collaborated with scholars based in United Kingdom and Greece. Frequent co-authors include K. Durose, Shashi Paul, P. Normand, Christopher Pearson, S. Kolliopoulou, A. Molloy, Panagiotis Dimitrakis, D. Tsoukalas, M.C. Petty and J. Beier. Their work appears in journals such as Thin Solid Films, Nano Letters, MRS Proceedings, Journal of the Chemical Society A Inorganic Physical Theoretical and Journal of the Chemical Society (Resumed).

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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