Kevin D. Daniels

21 total papers · 717 total citations
19 papers, 603 citations indexed

About

Kevin D. Daniels is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Water Science and Technology. According to data from OpenAlex, Kevin D. Daniels has authored 19 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pollution, 14 papers in Health, Toxicology and Mutagenesis and 7 papers in Water Science and Technology. Recurrent topics in Kevin D. Daniels's work include Pharmaceutical and Antibiotic Environmental Impacts (14 papers), Water Treatment and Disinfection (6 papers) and Advanced oxidation water treatment (5 papers). Kevin D. Daniels is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (14 papers), Water Treatment and Disinfection (6 papers) and Advanced oxidation water treatment (5 papers). Kevin D. Daniels collaborates with scholars based in United States, Singapore and China. Kevin D. Daniels's co-authors include Shane A. Snyder, Shimin Wu, Minkyu Park, Ai Jia, Tarun Anumol, Catherine R. Propper, Ming Zheng, Donato F. Romagnolo, Ornella I. Selmin and Yongmei Li and has published in prestigious journals such as Environmental Science & Technology, Water Research and Environmental Pollution.

In The Last Decade

Kevin D. Daniels

19 papers receiving 594 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin D. Daniels 258 234 158 133 76 19 603
Gabriela Castro 222 0.9× 236 1.0× 97 0.6× 124 0.9× 104 1.4× 32 608
Martie A.A. Coetzee 176 0.7× 301 1.3× 181 1.1× 88 0.7× 126 1.7× 21 628
Jin Ho Sung 350 1.4× 316 1.4× 90 0.6× 126 0.9× 53 0.7× 27 676
Rikard Tröger 416 1.6× 252 1.1× 114 0.7× 265 2.0× 58 0.8× 16 683
Deedar Nabi 152 0.6× 204 0.9× 95 0.6× 131 1.0× 56 0.7× 25 560
T. Mill 206 0.8× 171 0.7× 81 0.5× 63 0.5× 67 0.9× 19 677
Omobayo A. Salawu 140 0.5× 206 0.9× 91 0.6× 121 0.9× 58 0.8× 9 499
Seunghun Kang 171 0.7× 247 1.1× 131 0.8× 90 0.7× 58 0.8× 14 673
Jenny E. Zenobio 248 1.0× 226 1.0× 77 0.5× 247 1.9× 37 0.5× 14 582
Przemysław Andrzejewski 541 2.1× 117 0.5× 214 1.4× 172 1.3× 69 0.9× 29 688

Countries citing papers authored by Kevin D. Daniels

Since Specialization
Citations

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

Fields of papers citing papers by Kevin D. Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin D. Daniels. 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 Kevin D. Daniels. The network helps show where Kevin D. Daniels may publish in the future.

Co-authorship network of co-authors of Kevin D. Daniels

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Daniels. A scholar is included among the top collaborators of Kevin D. Daniels 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 Kevin D. Daniels. Kevin D. Daniels 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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