Murray A. Cameron

830 citations
36 papers · 669 · h-index 11

Impact in

Papers in

    • Probability and Statistical Research 6
    • Statistical Methods and Applications 6
    • Advanced Statistical Methods and Models 4
    • Statistical Distribution Estimation and Applications 3
    • Time Series Analysis and Forecasting 3
    • Direction-of-Arrival Estimation Techniques 3

Murray A. Cameron

35 papers receiving 597 citations

Peers

Murray A. Cameron
Comparison fields: 5 of 90
  • Health, Toxicology and Mutagenesis 328
  • Statistics and Probability 55
  • Geophysics 48
  • Signal Processing 24
  • Pollution 26
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Citations per year

Countries citing papers authored by Murray A. Cameron

Since Specialization
Citations

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

Fields of papers citing papers by Murray A. Cameron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Murray A. Cameron, 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 Murray A. Cameron Line = papers co-authored together Murray A. Cameron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998189
2
Contribution of tissue lead to blood lead in adult female subjects based on stable lead isotope methods.
1995140
3 197655
4 199844
5 198428
6 199224
7 199624
8 198722
9 201619
10 200418
11 199813
12 198310
13 19798
14 19858
15 19787
16
Semantic solutions for integration of federated ocean observations
20097
17 19785
18 19825
19 19845
20 19855

About Murray A. Cameron

Murray A. Cameron is a scholar working on Statistics and Probability, Signal Processing, Applied Mathematics, Geophysics and Health, Toxicology and Mutagenesis, having authored 36 papers that have together received 669 indexed citations. Recurring topics across this work include Probability and Statistical Research (6 papers), Statistical Methods and Applications (6 papers), Statistical and numerical algorithms (5 papers), Advanced Statistical Methods and Models (4 papers), Heavy Metal Exposure and Toxicity (3 papers), Time Series Analysis and Forecasting (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Direction-of-Arrival Estimation Techniques (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (328 citations), Statistics and Probability (55 citations), Geophysics (48 citations), Signal Processing (24 citations) and Pollution (26 citations). Murray A. Cameron has collaborated with scholars based in Australia, Canada and New Zealand. Frequent co-authors include Karen J. Mizon, Brian L. Gulson, Kathryn R. Mahaffey, Michael J. Korsch, C.W. Jameson, Graham Vimpani, John A. Eisman, G. Buselli, E. J. Hannan and Rolf Turner. Their work appears in journals such as Biometrika, Journal of Applied Probability, IEEE Transactions on Biomedical Engineering, Journal of Time Series Analysis and Wear.

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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