Kim P.M. Mosse

17 total papers · 734 total citations
9 papers, 579 citations indexed

About

Kim P.M. Mosse is a scholar working on Industrial and Manufacturing Engineering, Environmental Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Kim P.M. Mosse has authored 9 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Industrial and Manufacturing Engineering, 3 papers in Environmental Chemistry and 2 papers in Civil and Structural Engineering. Recurrent topics in Kim P.M. Mosse's work include Wastewater Treatment and Reuse (4 papers), Constructed Wetlands for Wastewater Treatment (2 papers) and Soil and Water Nutrient Dynamics (2 papers). Kim P.M. Mosse is often cited by papers focused on Wastewater Treatment and Reuse (4 papers), Constructed Wetlands for Wastewater Treatment (2 papers) and Soil and Water Nutrient Dynamics (2 papers). Kim P.M. Mosse collaborates with scholars based in Australia, United States and Italy. Kim P.M. Mosse's co-authors include Timothy R. Cavagnaro, Antonio F. Patti, Evan Christen, Loes van Schaik, Saskia Keesstra, Violette Geissen, Elia Scudiero, M. Leistra, Ronald J. Smernik and T. Vincent Verheyen and has published in prestigious journals such as Water Research, Journal of Hazardous Materials and Agricultural Water Management.

In The Last Decade

Kim P.M. Mosse

9 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
Kim P.M. Mosse 168 138 130 101 86 9 579
Thi Lan Anh 194 1.2× 84 0.6× 88 0.7× 122 1.2× 111 1.3× 10 522
Xuan Zhang 113 0.7× 132 1.0× 192 1.5× 87 0.9× 65 0.8× 17 645
Andreas Botnen Smebye 212 1.3× 91 0.7× 72 0.6× 185 1.8× 75 0.9× 13 616
D. V. Sarkhot 285 1.7× 204 1.5× 98 0.8× 46 0.5× 50 0.6× 10 649
Lars Egil Haugen 192 1.1× 111 0.8× 91 0.7× 86 0.9× 40 0.5× 21 598
Anna Missong 179 1.1× 94 0.7× 106 0.8× 60 0.6× 46 0.5× 16 544
Hiroaki Sumida 164 1.0× 122 0.9× 117 0.9× 106 1.0× 94 1.1× 27 647
Mi‐Hee Lee 88 0.5× 149 1.1× 144 1.1× 179 1.8× 34 0.4× 15 620
Marina Paneque 298 1.8× 123 0.9× 107 0.8× 155 1.5× 115 1.3× 10 688
Futian Ren 125 0.7× 58 0.4× 99 0.8× 227 2.2× 105 1.2× 11 600

Countries citing papers authored by Kim P.M. Mosse

Since Specialization
Citations

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

Fields of papers citing papers by Kim P.M. Mosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim P.M. Mosse. 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 Kim P.M. Mosse. The network helps show where Kim P.M. Mosse may publish in the future.

Co-authorship network of co-authors of Kim P.M. Mosse

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