Katalin Barkács

23 total papers · 822 total citations
23 papers, 671 citations indexed

About

Katalin Barkács is a scholar working on Pollution, Water Science and Technology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Katalin Barkács has authored 23 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pollution, 9 papers in Water Science and Technology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Katalin Barkács's work include Wastewater Treatment and Nitrogen Removal (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Constructed Wetlands for Wastewater Treatment (4 papers). Katalin Barkács is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Constructed Wetlands for Wastewater Treatment (4 papers). Katalin Barkács collaborates with scholars based in Hungary, Romania and Austria. Katalin Barkács's co-authors include Gyula Záray, Tamás Felföldi, Sven Erik Jørgensen, Károly Màrialigeti, Laura Jurecska, Éva Fenyvesi, Balázs Vajna, Anna J. Székely, Katalin Gruiz and Erzsébet Varga and has published in prestigious journals such as Water Research, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Katalin Barkács

23 papers receiving 637 citations

Author Peers

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

Author Last Decade Papers Cites
Katalin Barkács 258 257 155 117 109 23 671
Sining Zhou 317 1.2× 212 0.8× 159 1.0× 120 1.0× 81 0.7× 26 760
Yixuan Chu 287 1.1× 223 0.9× 130 0.8× 64 0.5× 97 0.9× 36 745
Paul d’Abzac 441 1.7× 316 1.2× 118 0.8× 167 1.4× 109 1.0× 14 771
Zheng Hao 220 0.9× 168 0.7× 85 0.5× 111 0.9× 69 0.6× 23 650
Ting Li 249 1.0× 240 0.9× 126 0.8× 132 1.1× 100 0.9× 38 658
Felicita Briški 334 1.3× 203 0.8× 172 1.1× 160 1.4× 79 0.7× 25 730
Benru Song 313 1.2× 209 0.8× 87 0.6× 122 1.0× 207 1.9× 21 758
Michael Beliavski 338 1.3× 212 0.8× 165 1.1× 88 0.8× 133 1.2× 29 623
Wei Chen 130 0.5× 241 0.9× 168 1.1× 67 0.6× 74 0.7× 39 652
Yang Dong 200 0.8× 150 0.6× 174 1.1× 52 0.4× 78 0.7× 21 627

Countries citing papers authored by Katalin Barkács

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Barkács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katalin Barkács

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