Jeffrey A. Nason

44 total papers · 1.1k total citations
34 papers, 866 citations indexed

About

Jeffrey A. Nason is a scholar working on Water Science and Technology, Materials Chemistry and Pollution. According to data from OpenAlex, Jeffrey A. Nason has authored 34 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 13 papers in Materials Chemistry and 6 papers in Pollution. Recurrent topics in Jeffrey A. Nason's work include Nanoparticles: synthesis and applications (13 papers), Coagulation and Flocculation Studies (6 papers) and Microplastics and Plastic Pollution (5 papers). Jeffrey A. Nason is often cited by papers focused on Nanoparticles: synthesis and applications (13 papers), Coagulation and Flocculation Studies (6 papers) and Microplastics and Plastic Pollution (5 papers). Jeffrey A. Nason collaborates with scholars based in United States, Switzerland and South Korea. Jeffrey A. Nason's co-authors include Samuel E. Lohse, James E. Hutchison, Desmond F. Lawler, Tyler S. Radniecki, Arianne M. Neigh, Lewis Semprini, Stacey L. Harper, Robert L. Tanguay, Ian Moody and Mark C. Lonergan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Jeffrey A. Nason

32 papers receiving 844 citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey A. Nason 524 234 228 165 91 34 866
Ralf Kägi 388 0.7× 293 1.3× 203 0.9× 305 1.8× 99 1.1× 21 1.0k
Jiuyan Chen 470 0.9× 201 0.9× 182 0.8× 164 1.0× 64 0.7× 43 902
Khanh An Huynh 666 1.3× 340 1.5× 218 1.0× 200 1.2× 70 0.8× 14 1.0k
Frédéric Loosli 512 1.0× 157 0.7× 232 1.0× 127 0.8× 61 0.7× 26 858
Shaofeng Zhou 334 0.6× 133 0.6× 177 0.8× 164 1.0× 39 0.4× 28 875
Yue You 299 0.6× 221 0.9× 160 0.7× 126 0.8× 65 0.7× 51 1.0k
Yingyu Li 224 0.4× 142 0.6× 174 0.8× 98 0.6× 67 0.7× 31 887
Kungang Li 735 1.4× 273 1.2× 228 1.0× 95 0.6× 37 0.4× 17 1.0k
Shejiang Liu 329 0.6× 241 1.0× 124 0.5× 233 1.4× 99 1.1× 40 926
Philippe Namour 201 0.4× 125 0.5× 144 0.6× 204 1.2× 84 0.9× 50 885

Countries citing papers authored by Jeffrey A. Nason

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey A. Nason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Nason. 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 Jeffrey A. Nason. The network helps show where Jeffrey A. Nason may publish in the future.

Co-authorship network of co-authors of Jeffrey A. Nason

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