João M. Neto

145 total papers · 5.7k total citations
89 papers, 4.3k citations indexed

About

João M. Neto is a scholar working on Oceanography, Global and Planetary Change and Ecology. According to data from OpenAlex, João M. Neto has authored 89 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Oceanography, 50 papers in Global and Planetary Change and 45 papers in Ecology. Recurrent topics in João M. Neto's work include Marine Biology and Ecology Research (49 papers), Marine and coastal plant biology (38 papers) and Marine Bivalve and Aquaculture Studies (37 papers). João M. Neto is often cited by papers focused on Marine Biology and Ecology Research (49 papers), Marine and coastal plant biology (38 papers) and Marine Bivalve and Aquaculture Studies (37 papers). João M. Neto collaborates with scholars based in Portugal, Spain and United Kingdom. João M. Neto's co-authors include João Carlos Marques, Joana Patrício, Miguel Â. Pardal, Heliana Teixeira, Ángel Borja, Fuensanta Salas, Rute Pinto, Henrique N. Cabral, Filipe Martinho and Filipa Bessa and has published in prestigious journals such as The Science of The Total Environment, Journal of Environmental Management and Marine Pollution Bulletin.

In The Last Decade

João M. Neto

88 papers receiving 4.1k citations

Hit Papers

Occurrence of microplasti... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
João M. Neto 2.2k 2.0k 2.0k 660 553 89 4.3k
Ana M. Queirós 1.7k 0.8× 1.7k 0.8× 1.6k 0.8× 784 1.2× 366 0.7× 64 3.7k
Joana Patrício 1.6k 0.7× 1.6k 0.8× 1.6k 0.8× 376 0.6× 506 0.9× 69 3.3k
Suzanne B. Bricker 2.5k 1.1× 2.0k 1.0× 1.4k 0.7× 380 0.6× 818 1.5× 58 4.7k
Michael F. Piehler 2.2k 1.0× 1.8k 0.9× 2.6k 1.3× 451 0.7× 330 0.6× 102 4.8k
Jan E. Vermaat 1.9k 0.9× 1.5k 0.8× 2.8k 1.4× 236 0.4× 588 1.1× 116 5.4k
José Luis Sánchez‐Lizaso 1.8k 0.9× 1.6k 0.8× 2.3k 1.2× 218 0.3× 460 0.8× 152 4.2k
Antonio Pusceddu 4.0k 1.8× 2.3k 1.2× 3.7k 1.9× 819 1.2× 297 0.5× 170 6.8k
M.G. Chapman 4.6k 2.1× 2.7k 1.4× 4.6k 2.3× 580 0.9× 827 1.5× 111 7.8k
Just Cebrián 4.1k 1.9× 1.6k 0.8× 4.5k 2.3× 474 0.7× 347 0.6× 148 6.9k
Pierluigi Viaroli 2.7k 1.3× 1.6k 0.8× 2.4k 1.2× 577 0.9× 260 0.5× 157 5.2k

Countries citing papers authored by João M. Neto

Since Specialization
Citations

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

Fields of papers citing papers by João M. Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João M. Neto. 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 João M. Neto. The network helps show where João M. Neto may publish in the future.

Co-authorship network of co-authors of João M. Neto

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