Gail M. Brion

60 total papers · 1.0k total citations
49 papers, 796 citations indexed

About

Gail M. Brion is a scholar working on Water Science and Technology, Environmental Engineering and Infectious Diseases. According to data from OpenAlex, Gail M. Brion has authored 49 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Water Science and Technology, 16 papers in Environmental Engineering and 9 papers in Infectious Diseases. Recurrent topics in Gail M. Brion's work include Fecal contamination and water quality (14 papers), Urban Stormwater Management Solutions (9 papers) and Hydrological Forecasting Using AI (8 papers). Gail M. Brion is often cited by papers focused on Fecal contamination and water quality (14 papers), Urban Stormwater Management Solutions (9 papers) and Hydrological Forecasting Using AI (8 papers). Gail M. Brion collaborates with scholars based in United States, India and Nigeria. Gail M. Brion's co-authors include Srinivasa Lingireddy, T. R. Neelakantan, JoAnn Silverstein, John Scott Meschke, Mark D. Sobsey, Alan E. Fryar, Venkatraman Chandra‐Mouli, M. Jagtoyen, Frank Derbyshire and Lindell Ormsbee and has published in prestigious journals such as Environmental Science & Technology, Applied and Environmental Microbiology and Water Research.

In The Last Decade

Gail M. Brion

46 papers receiving 731 citations

Author Peers

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

Author Last Decade Papers Cites
Gail M. Brion 412 280 92 91 85 49 796
Jason R. Vogel 348 0.8× 387 1.4× 97 1.1× 90 1.0× 118 1.4× 45 923
Sookyun Wang 236 0.6× 355 1.3× 60 0.7× 79 0.9× 72 0.8× 42 838
Donna S. Francy 476 1.2× 178 0.6× 124 1.3× 95 1.0× 181 2.1× 36 937
Moyasar T. Yahya 392 1.0× 313 1.1× 186 2.0× 94 1.0× 93 1.1× 19 766
Martin A. Page 197 0.5× 228 0.8× 170 1.8× 88 1.0× 82 1.0× 38 875
Alexander Schriewer 450 1.1× 303 1.1× 128 1.4× 79 0.9× 166 2.0× 21 969
Ekaterina Sokolova 333 0.8× 176 0.6× 92 1.0× 94 1.0× 63 0.7× 62 1.0k
Md Jahangir Alam 335 0.8× 215 0.8× 133 1.4× 59 0.6× 69 0.8× 35 898
Otto D. Simmons 469 1.1× 295 1.1× 212 2.3× 45 0.5× 129 1.5× 25 895
Costantino Masciopinto 339 0.8× 496 1.8× 57 0.6× 50 0.5× 91 1.1× 43 989

Countries citing papers authored by Gail M. Brion

Since Specialization
Citations

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

Fields of papers citing papers by Gail M. Brion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail M. Brion

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