JG. Tundisi

31 total papers · 679 total citations
27 papers, 524 citations indexed

About

JG. Tundisi is a scholar working on Environmental Chemistry, Water Science and Technology and Ecology. According to data from OpenAlex, JG. Tundisi has authored 27 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Chemistry, 10 papers in Water Science and Technology and 9 papers in Ecology. Recurrent topics in JG. Tundisi's work include Aquatic Ecosystems and Phytoplankton Dynamics (15 papers), Water Quality and Pollution Assessment (8 papers) and Aquatic Ecosystems and Biodiversity (6 papers). JG. Tundisi is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (15 papers), Water Quality and Pollution Assessment (8 papers) and Aquatic Ecosystems and Biodiversity (6 papers). JG. Tundisi collaborates with scholars based in Brazil, Russia and Argentina. JG. Tundisi's co-authors include T. Matsumura-Tundisi, Taurai Bere, José Galízia Tundisi, Raphaèle Ducrot, Fernando Rosado Spilki, Leonardo Contri Campanelli, Claudia Rodríguez, Igor Ogashawara, Matías Bonansea and Takako Matsumura Tundisi and has published in prestigious journals such as Water SA, Brazilian Journal of Biology and Ghent University Academic Bibliography (Ghent University).

In The Last Decade

JG. Tundisi

27 papers receiving 482 citations

Author Peers

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

Author Last Decade Papers Cites
JG. Tundisi 248 182 174 126 112 27 524
Kurt D. Carpenter 199 0.8× 137 0.8× 219 1.3× 117 0.9× 146 1.3× 33 554
Pedro Temporetti 285 1.1× 86 0.5× 219 1.3× 143 1.1× 87 0.8× 32 580
Birger Skjelbred 375 1.5× 146 0.8× 235 1.4× 211 1.7× 80 0.7× 20 540
Mónica M. Diaz 303 1.2× 74 0.4× 239 1.4× 221 1.8× 96 0.9× 25 607
Elżbieta Wilk‐Woźniak 418 1.7× 164 0.9× 263 1.5× 218 1.7× 104 0.9× 59 617
Chao Wang 196 0.8× 84 0.5× 265 1.5× 176 1.4× 92 0.8× 35 551
Brenda Moraska Lafrançois 322 1.3× 68 0.4× 278 1.6× 175 1.4× 142 1.3× 24 569
Lizhen Liu 199 0.8× 76 0.4× 168 1.0× 161 1.3× 52 0.5× 22 466
Fabio Buzzi 378 1.5× 160 0.9× 237 1.4× 326 2.6× 90 0.8× 20 597
Charles R. Kratzer 352 1.4× 287 1.6× 149 0.9× 135 1.1× 94 0.8× 26 595

Countries citing papers authored by JG. Tundisi

Since Specialization
Citations

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

Fields of papers citing papers by JG. Tundisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JG. Tundisi

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