Patricia Merdy

90 total papers · 874 total citations
41 papers, 674 citations indexed

About

Patricia Merdy is a scholar working on Pollution, Water Science and Technology and Geochemistry and Petrology. According to data from OpenAlex, Patricia Merdy has authored 41 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pollution, 9 papers in Water Science and Technology and 8 papers in Geochemistry and Petrology. Recurrent topics in Patricia Merdy's work include Heavy metals in environment (12 papers), Geochemistry and Geologic Mapping (6 papers) and Clay minerals and soil interactions (6 papers). Patricia Merdy is often cited by papers focused on Heavy metals in environment (12 papers), Geochemistry and Geologic Mapping (6 papers) and Clay minerals and soil interactions (6 papers). Patricia Merdy collaborates with scholars based in France, Brazil and Algeria. Patricia Merdy's co-authors include Yves Lucas, Emmanuel Guillon, Michel Aplincourt, Jean‐Marc Dumonceau, Michel Raynaud, Hans‐Rudolf Pfeifer, Hervé Vezin, Sandrine Huclier‐Markai, Luuk K. Koopal and Oyebola O. Sogbein and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Patricia Merdy

38 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
Patricia Merdy 210 125 122 91 76 41 674
Yan Ma 254 1.2× 122 1.0× 140 1.1× 66 0.7× 129 1.7× 43 669
Shuai Wang 227 1.1× 128 1.0× 49 0.4× 53 0.6× 73 1.0× 50 595
María Ángeles Muñoz 152 0.7× 72 0.6× 129 1.1× 90 1.0× 42 0.6× 35 596
Kiran Hina 226 1.1× 152 1.2× 79 0.6× 80 0.9× 79 1.0× 28 654
Zhaofeng Chang 251 1.2× 165 1.3× 99 0.8× 118 1.3× 117 1.5× 44 683
Ke Song 257 1.2× 97 0.8× 130 1.1× 51 0.6× 135 1.8× 40 699
Arindam Malakar 138 0.7× 101 0.8× 63 0.5× 90 1.0× 75 1.0× 33 556
Xianliang Wu 340 1.6× 83 0.7× 146 1.2× 72 0.8× 84 1.1× 44 676
Munehide Ishiguro 245 1.2× 126 1.0× 76 0.6× 75 0.8× 104 1.4× 37 731
Valéria Guimarães Silvestre Rodrigues 335 1.6× 206 1.6× 102 0.8× 60 0.7× 126 1.7× 42 594

Countries citing papers authored by Patricia Merdy

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Merdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Merdy

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