Phillip D. Hays

68 total papers · 1.0k total citations
29 papers, 830 citations indexed

About

Phillip D. Hays is a scholar working on Geochemistry and Petrology, Water Science and Technology and Environmental Chemistry. According to data from OpenAlex, Phillip D. Hays has authored 29 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Geochemistry and Petrology, 13 papers in Water Science and Technology and 10 papers in Environmental Chemistry. Recurrent topics in Phillip D. Hays's work include Groundwater and Isotope Geochemistry (13 papers), Groundwater flow and contamination studies (9 papers) and Water Quality and Resources Studies (8 papers). Phillip D. Hays is often cited by papers focused on Groundwater and Isotope Geochemistry (13 papers), Groundwater flow and contamination studies (9 papers) and Water Quality and Resources Studies (8 papers). Phillip D. Hays collaborates with scholars based in United States, United Kingdom and South Africa. Phillip D. Hays's co-authors include Ethan L. Grossman, Timothy M. Kresse, Weidong Sun, Fatemeh Sedaghatpour, Fang‐Zhen Teng, Ming‐Xing Ling, Adrian Down, Nathaniel R. Warner, Avner Vengosh and Robert B. Jackson and has published in prestigious journals such as Environmental Science & Technology, Geology and Soil Science.

In The Last Decade

Phillip D. Hays

27 papers receiving 768 citations

Author Peers

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

Author Last Decade Papers Cites
Phillip D. Hays 302 238 198 183 180 29 830
A. Lerman 261 0.9× 273 1.1× 208 1.1× 105 0.6× 235 1.3× 29 897
Joshua D. Landis 196 0.6× 155 0.7× 99 0.5× 254 1.4× 127 0.7× 48 855
József Deák 331 1.1× 444 1.9× 112 0.6× 132 0.7× 217 1.2× 19 966
Juan José Pueyo 455 1.5× 219 0.9× 199 1.0× 62 0.3× 126 0.7× 35 920
R. Michael Lloyd 374 1.2× 455 1.9× 324 1.6× 99 0.5× 260 1.4× 16 992
Joseph J. Donovan 518 1.7× 184 0.8× 105 0.5× 251 1.4× 113 0.6× 40 1.0k
Hao Yan 351 1.2× 268 1.1× 176 0.9× 64 0.3× 194 1.1× 42 802
Christian Herrera 349 1.2× 377 1.6× 103 0.5× 143 0.8× 86 0.5× 44 956
Shaojun Zhong 205 0.7× 359 1.5× 244 1.2× 70 0.4× 268 1.5× 12 1.0k
Jean C.C. Hsieh 273 0.9× 307 1.3× 113 0.6× 121 0.7× 69 0.4× 12 932

Countries citing papers authored by Phillip D. Hays

Since Specialization
Citations

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

Fields of papers citing papers by Phillip D. Hays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip D. Hays

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