Mateusz Wilk

45 total papers · 1.0k total citations
21 papers, 274 citations indexed

About

Mateusz Wilk is a scholar working on Plant Science, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mateusz Wilk has authored 21 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Ecology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mateusz Wilk's work include Peatlands and Wetlands Ecology (8 papers), Mycorrhizal Fungi and Plant Interactions (8 papers) and Coastal wetland ecosystem dynamics (5 papers). Mateusz Wilk is often cited by papers focused on Peatlands and Wetlands Ecology (8 papers), Mycorrhizal Fungi and Plant Interactions (8 papers) and Coastal wetland ecosystem dynamics (5 papers). Mateusz Wilk collaborates with scholars based in Poland, Germany and Norway. Mateusz Wilk's co-authors include Małgorzata Suska‐Malawska, Marta Wrzosek, Monika Mętrak, Łukasz Kozub, Julia Pawłowska, Wiktor Kotowski, Tomasz Wyszomirski, Dag‐Inge Øien, Elke Seeber and Bård Pedersen and has published in prestigious journals such as The Science of The Total Environment, The ISME Journal and Ecosystems.

In The Last Decade

Mateusz Wilk

20 papers receiving 261 citations

Author Peers

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

Author Last Decade Papers Cites
Mateusz Wilk 149 106 62 57 26 21 274
Xiaoying Liu 163 1.1× 59 0.6× 93 1.5× 33 0.6× 22 0.8× 24 313
Bing Wu 80 0.5× 144 1.4× 38 0.6× 30 0.5× 20 0.8× 31 301
Tushou Luo 125 0.8× 99 0.9× 19 0.3× 45 0.8× 76 2.9× 29 329
Mathilde Borg Dahl 228 1.5× 76 0.7× 84 1.4× 65 1.1× 19 0.7× 19 322
Maëva Labouyrie 119 0.8× 100 0.9× 18 0.3× 36 0.6× 26 1.0× 14 325
Luca Miserere 148 1.0× 91 0.9× 47 0.8× 128 2.2× 10 0.4× 23 288
Qisheng Han 166 1.1× 65 0.6× 17 0.3× 37 0.6× 32 1.2× 24 284
Zhao‐lei Qu 158 1.1× 106 1.0× 44 0.7× 30 0.5× 19 0.7× 18 278
Leticia Pérez‐Izquierdo 162 1.1× 66 0.6× 39 0.6× 47 0.8× 73 2.8× 15 271
A. La Rosa 146 1.0× 31 0.3× 22 0.4× 66 1.2× 15 0.6× 28 301

Countries citing papers authored by Mateusz Wilk

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz Wilk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateusz Wilk

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