Wayne Civil

16 total papers · 613 total citations
12 papers, 449 citations indexed

About

Wayne Civil is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Geochemistry and Petrology. According to data from OpenAlex, Wayne Civil has authored 12 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 7 papers in Pollution and 3 papers in Geochemistry and Petrology. Recurrent topics in Wayne Civil's work include Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Water Treatment and Disinfection (6 papers) and Groundwater and Isotope Geochemistry (3 papers). Wayne Civil is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Water Treatment and Disinfection (6 papers) and Groundwater and Isotope Geochemistry (3 papers). Wayne Civil collaborates with scholars based in United Kingdom, India and France. Wayne Civil's co-authors include Dan Lapworth, Debbie White, Peter J. Williams, Dave Goulson, Martin Whitehead, Daren C. Gooddy, Alan MacDonald, Pradyut Sengupta, Jassin Petersen and Abhijit Mukherjee and has published in prestigious journals such as The Science of The Total Environment, Water Research and Environmental Pollution.

In The Last Decade

Wayne Civil

12 papers receiving 440 citations

Author Peers

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

Author						Papers	Cites
Wayne Civil	239	171	106	70	57	12	449
Abdul Sattar Shah	182 0.8×	111 0.6×	102 1.0×	41 0.6×	62 1.1×	20	426
Margaret S. Mills	381 1.6×	154 0.9×	91 0.9×	30 0.4×	68 1.2×	8	550
Shuangmei Tong	234 1.0×	104 0.6×	91 0.9×	49 0.7×	26 0.5×	13	498
Sofia Batista	293 1.2×	209 1.2×	61 0.6×	29 0.4×	39 0.7×	15	483
Manuela Inácio	271 1.1×	175 1.0×	85 0.8×	54 0.8×	23 0.4×	13	496
Josey Grabuski	220 0.9×	208 1.2×	111 1.0×	24 0.3×	38 0.7×	8	522
Jerusa Schneider	229 1.0×	96 0.6×	101 1.0×	66 0.9×	148 2.6×	22	500
Megan E. Shoda	212 0.9×	146 0.9×	110 1.0×	23 0.3×	69 1.2×	20	419
Kun Wang	320 1.3×	173 1.0×	63 0.6×	24 0.3×	51 0.9×	30	551
Ricardo Diaz‐Diaz	167 0.7×	118 0.7×	50 0.5×	25 0.4×	23 0.4×	27	436

Countries citing papers authored by Wayne Civil

Since Specialization

Citations

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

Fields of papers citing papers by Wayne Civil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne Civil. 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 Wayne Civil. The network helps show where Wayne Civil may publish in the future.

Co-authorship network of co-authors of Wayne Civil

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Civil. A scholar is included among the top collaborators of Wayne Civil 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 Wayne Civil. Wayne Civil 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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