Graham Cox

789 citations
25 papers · 580 · h-index 10

Impact in

Papers in

    • Spectral Theory in Mathematical Physics 5
    • Numerical methods in inverse problems 4
    • Porphyrin and Phthalocyanine Chemistry 6
    • Luminescence and Fluorescent Materials 2

Graham Cox

24 papers receiving 541 citations

Peers

Graham Cox
Comparison fields: 5 of 75
  • Physical and Theoretical Chemistry 166
  • Spectroscopy 146
  • Bioengineering 49
  • Pharmaceutical Science 40
  • Materials Chemistry 267
Replace M. Duquesne with:
M. Duquesne France
Brian Wesley Williams United States
R.A. Yadav India
O. Chalvet France
Nicolas Saettel France
B. K. Selinger Australia
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Citations per field
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M. Duquesne · 1×
Citations per year

Countries citing papers authored by Graham Cox

Since Specialization
Citations

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

Fields of papers citing papers by Graham Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Graham Cox, 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 Graham Cox Line = papers co-authored together Graham Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984114
2 198497
3 198372
4 198272
5 198258
6 197942
7 198236
8 198418
9 201516
10 198311
11 20246
12 19826
13 20225
14 20194
15 20134
16 20223
17 20233
18 20203
19 20232
20 20212

About Graham Cox

Graham Cox is a scholar working on Mathematical Physics, Materials Chemistry, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Statistical and Nonlinear Physics, having authored 25 papers that have together received 580 indexed citations. Recurring topics across this work include Porphyrin and Phthalocyanine Chemistry (6 papers), Spectral Theory in Mathematical Physics (5 papers), Advanced Mathematical Modeling in Engineering (5 papers), Numerical methods in inverse problems (4 papers), Photodynamic Therapy Research Studies (4 papers), Molecular Sensors and Ion Detection (3 papers), Nonlinear Partial Differential Equations (3 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (166 citations), Spectroscopy (146 citations), Bioengineering (49 citations), Pharmaceutical Science (40 citations) and Materials Chemistry (267 citations). Graham Cox has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Nicholas J. Turro, David G. Whitten, Xin Li, Charles Giannotti, Marianne Krieg, Jeremy L. Marzuola, Christopher K. R. T. Jones, Gregory Berkolaiko, Ivan Booth and Yuri Latushkin. Their work appears in journals such as Photochemistry and Photobiology, Journal of the American Chemical Society, SIAM Journal on Mathematical Analysis, Asian Journal of Mathematics and Advances in experimental medicine and 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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