M T Clarkson

22 total papers · 428 total citations
18 papers, 315 citations indexed

About

M T Clarkson is a scholar working on Statistics, Probability and Uncertainty, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, M T Clarkson has authored 18 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics, Probability and Uncertainty, 7 papers in Biomedical Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in M T Clarkson's work include Scientific Measurement and Uncertainty Evaluation (8 papers), Sensor Technology and Measurement Systems (6 papers) and Advanced Sensor Technologies Research (5 papers). M T Clarkson is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (8 papers), Sensor Technology and Measurement Systems (6 papers) and Advanced Sensor Technologies Research (5 papers). M T Clarkson collaborates with scholars based in New Zealand, United States and Australia. M T Clarkson's co-authors include C M Sutton, Roger G. Horn, David R. Clarke, D. Beaglehole, Howard W. Yoon, D. R. White, Peter M. Saunders, Richard Davis, W.M. Kissling and Abd Khamim Ismail and has published in prestigious journals such as Journal of Physics D Applied Physics, Analytical and Bioanalytical Chemistry and Journal of materials research/Pratt's guide to venture capital sources.

In The Last Decade

M T Clarkson

15 papers receiving 290 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M T Clarkson	115	96	77	75	47	18	315
Virpi Korpelainen	91 0.8×	97 1.0×	74 1.0×	55 0.7×	8 0.2×	25	299
Horace A. Bowman	61 0.5×	48 0.5×	35 0.5×	168 2.2×	46 1.0×	10	358
Dominic Windisch	52 0.5×	95 1.0×	54 0.7×	121 1.6×	14 0.3×	12	307
J. K. Fremerey	112 1.0×	95 1.0×	49 0.6×	105 1.4×	12 0.3×	14	292
Jing Sun	82 0.7×	117 1.2×	29 0.4×	78 1.0×	10 0.2×	18	293
L. J. Varnerin	29 0.3×	149 1.6×	198 2.6×	10 0.1×	12 0.3×	11	300
Birk Andreas	73 0.6×	93 1.0×	94 1.2×	81 1.1×	9 0.2×	18	270
D. R. Denison	92 0.8×	105 1.1×	120 1.6×	12 0.2×	3 0.1×	25	299
K. Dorenwendt	30 0.3×	123 1.3×	31 0.4×	94 1.3×	10 0.2×	10	253
H. H. Plumb	63 0.5×	67 0.7×	24 0.3×	32 0.4×	27 0.6×	17	239

Countries citing papers authored by M T Clarkson

Since Specialization

Citations

This map shows the geographic impact of M T Clarkson'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 T Clarkson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M T Clarkson more than expected).

Fields of papers citing papers by M T Clarkson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M T Clarkson

This figure shows the co-authorship network connecting the top 25 collaborators of M T Clarkson. A scholar is included among the top collaborators of M T Clarkson 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 T Clarkson. M T Clarkson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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