M. J. Curran

1.1k citations
37 papers · 805 indexed · h-index 12
Topics
Finite Group Theory Research (21 papers)Coding theory and cryptography (10 papers)graph theory and CDMA systems (7 papers)

In The Last Decade

M. J. Curran

34 papers receiving 773 citations

Peers

M. J. Curran
Comparison fields: 5 of 95
  • Molecular Biology 436
  • Cell Biology 264
  • Discrete Mathematics and Combinatorics 154
  • Cellular and Molecular Neuroscience 108
  • Artificial Intelligence 102
Replace Huijun Fan with:
Huijun Fan China
Shuji Matsumoto Japan
Andrew Atkinson United Kingdom
John Dempster United Kingdom
Kazumi Horiuchi United States
Gregor Lichtner Germany
Sophie Tuffet France
John M. Jones United States
M. J. Curran relative to Huijun Fan China Huijun Fan's profile →
Citations per field
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Huijun Fan · 1×
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Countries citing papers authored by M. J. Curran

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Curran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Curran

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Curran. A scholar is included among the top collaborators of M. J. Curran 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 M. J. Curran. M. J. Curran 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
#WorkIndexed citations
1 0
2 17
3 4
4 0
5 8
6 10
7 3
8 21
9 2
10 59
11
Factors affecting the embedding of optical fibre sensors in advanced composite structures
2
12 66
13 7
14 73
15 228
16 3
17 8
18 2
19 2
20 1

About M. J. Curran

M. J. Curran is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Algebra and Number Theory, having authored 37 papers that have together received 805 indexed citations. Recurring topics across this work include Finite Group Theory Research (21 papers), Coding theory and cryptography (10 papers) and graph theory and CDMA systems (7 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (154 citations), Cell Biology (264 citations) and Anesthesiology and Pain Medicine (58 citations). M. J. Curran has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Joshua Zimmerberg, Malcolm S. Brodwick, Fred Cohen, Robert Blumenthal, Debi P. Sarkar, Stephen J. Morris, David R. Bevan, F. Donati, J. A. Campbell and Σ. Αθανασόπουλος. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

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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