Brian G. Sanderson

70 total papers · 1.1k total citations
53 papers, 872 citations indexed

About

Brian G. Sanderson is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Brian G. Sanderson has authored 53 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oceanography, 20 papers in Atmospheric Science and 15 papers in Global and Planetary Change. Recurrent topics in Brian G. Sanderson's work include Oceanographic and Atmospheric Processes (20 papers), Meteorological Phenomena and Simulations (9 papers) and Marine and coastal ecosystems (8 papers). Brian G. Sanderson is often cited by papers focused on Oceanographic and Atmospheric Processes (20 papers), Meteorological Phenomena and Simulations (9 papers) and Marine and coastal ecosystems (8 papers). Brian G. Sanderson collaborates with scholars based in Canada, Australia and United States. Brian G. Sanderson's co-authors include J. Rudi Strickler, Akira Ōkubo, Takashi Asaeda, David J. Coughlin, Brad de Young, David Booth, Lalith Rajapakse, Takeshi Fujino, Daniel Abel Shilla and Anna M. Redden and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Fluid Mechanics and Limnology and Oceanography.

In The Last Decade

Brian G. Sanderson

52 papers receiving 774 citations

Author Peers

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

Author Last Decade Papers Cites
Brian G. Sanderson 404 238 230 222 134 53 872
Lixia Wang 305 0.8× 116 0.5× 252 1.1× 146 0.7× 46 0.3× 49 760
Jun Zhao 379 0.9× 144 0.6× 246 1.1× 308 1.4× 147 1.1× 84 971
Peter Lundberg 423 1.0× 162 0.7× 352 1.5× 162 0.7× 67 0.5× 52 857
Antonio G. Ramos 208 0.5× 319 1.3× 171 0.7× 236 1.1× 24 0.2× 68 953
Jianchao Li 311 0.8× 520 2.2× 154 0.7× 378 1.7× 58 0.4× 64 911
Erik Simon‐Lledó 612 1.5× 235 1.0× 103 0.4× 484 2.2× 72 0.5× 37 1.0k
Jon Hill 165 0.4× 77 0.3× 242 1.1× 140 0.6× 71 0.5× 49 777
Josep Coca 387 1.0× 245 1.0× 99 0.4× 277 1.2× 52 0.4× 34 734
Timm Schoening 483 1.2× 230 1.0× 52 0.2× 437 2.0× 75 0.6× 42 1.0k
Tetjana Ross 593 1.5× 351 1.5× 325 1.4× 240 1.1× 120 0.9× 45 948

Countries citing papers authored by Brian G. Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Brian G. Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian G. Sanderson. 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 Brian G. Sanderson. The network helps show where Brian G. Sanderson may publish in the future.

Co-authorship network of co-authors of Brian G. Sanderson

This figure shows the co-authorship network connecting the top 25 collaborators of Brian G. Sanderson. A scholar is included among the top collaborators of Brian G. Sanderson 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 Brian G. Sanderson. Brian G. Sanderson 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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