Graham M. Smith

10 total papers · 17.7k total citations
2 papers, 14.6k citations indexed

About

Graham M. Smith is a scholar working on Radiological and Ultrasound Technology, Radiology, Nuclear Medicine and Imaging and Global and Planetary Change. According to data from OpenAlex, Graham M. Smith has authored 2 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Radiological and Ultrasound Technology, 1 paper in Radiology, Nuclear Medicine and Imaging and 1 paper in Global and Planetary Change. Recurrent topics in Graham M. Smith's work include Radioactivity and Radon Measurements (1 paper), Radiation Dose and Imaging (1 paper) and Radioactive contamination and transfer (1 paper). Graham M. Smith is often cited by papers focused on Radioactivity and Radon Measurements (1 paper), Radiation Dose and Imaging (1 paper) and Radioactive contamination and transfer (1 paper). Graham M. Smith collaborates with scholars based in Russia and United Kingdom. Graham M. Smith's co-authors include Elena N. Ieno, N. P. J. Walker, Alain F. Zuur, Anatoly A. Saveliev and J. Molinero and has published in prestigious journals such as DIAL (Catholic University of Leuven).

In The Last Decade

Graham M. Smith

2 papers receiving 14.3k citations

Hit Papers

Mixed effects models and ... 2009 2026 2014 2020 2009 4.0k 8.0k 12.0k

Author Peers

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

Author Last Decade Papers Cites
Graham M. Smith 7.2k 5.2k 4.3k 4.0k 1.6k 2 14.6k
Gerry P. Quinn 5.4k 0.8× 3.6k 0.7× 2.9k 0.7× 2.8k 0.7× 1.4k 0.9× 18 11.3k
N. P. J. Walker 7.2k 1.0× 5.2k 1.0× 4.3k 1.0× 4.0k 1.0× 1.6k 1.0× 29 15.2k
M. Brooks 6.0k 0.8× 4.0k 0.8× 2.9k 0.7× 4.6k 1.1× 1.8k 1.1× 22 14.5k
William H. Baltosser 10.5k 1.5× 6.9k 1.3× 5.9k 1.4× 5.4k 1.3× 3.4k 2.1× 20 29.3k
Shahid Naeem 3.7k 0.5× 4.8k 0.9× 3.0k 0.7× 2.6k 0.7× 2.2k 1.4× 24 9.6k
Gudrun Carl 4.6k 0.6× 3.6k 0.7× 2.7k 0.6× 2.0k 0.5× 717 0.4× 12 10.8k
Janine Bloomfield 3.5k 0.5× 3.6k 0.7× 2.5k 0.6× 1.7k 0.4× 1.3k 0.8× 9 7.9k
Elena N. Ieno 12.5k 1.7× 8.2k 1.6× 7.3k 1.7× 6.1k 1.5× 2.4k 1.5× 26 24.5k
Eric L. Berlow 5.7k 0.8× 4.8k 0.9× 3.1k 0.7× 3.3k 0.8× 1.4k 0.9× 40 11.5k
J. T. Curtis 4.8k 0.7× 3.2k 0.6× 2.5k 0.6× 2.0k 0.5× 2.3k 1.4× 21 11.4k

Countries citing papers authored by Graham M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Graham M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham M. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Graham M. Smith. A scholar is included among the top collaborators of Graham M. Smith 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 Graham M. Smith. Graham M. Smith 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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