Maria Rosa Paiva

36 papers and 868 indexed citations i.

About

Maria Rosa Paiva is a scholar working on Ecology, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Maria Rosa Paiva has authored 36 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ecology, 20 papers in Insect Science and 17 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Maria Rosa Paiva’s work include Forest Insect Ecology and Management (22 papers), Insect and Pesticide Research (12 papers) and Entomological Studies and Ecology (10 papers). Maria Rosa Paiva is often cited by papers focused on Forest Insect Ecology and Management (22 papers), Insect and Pesticide Research (12 papers) and Entomological Studies and Ecology (10 papers). Maria Rosa Paiva collaborates with scholars based in Portugal, Germany and France. Maria Rosa Paiva's co-authors include M. J. Way, M. E. Cammell, Manuela Branco, Helena Santos, Carole Kerdelhué, Eduardo P. Mateus, C. A. Collingwood, Marco Gomes da Silva, Qing‐He Zhang and Jérôme Rousselet and has published in prestigious journals such as New Phytologist, Proceedings of the Royal Society B Biological Sciences and Journal of Chromatography A.

In The Last Decade

Co-authorship network of co-authors of Maria Rosa Paiva i

Fields of papers citing papers by Maria Rosa Paiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Rosa Paiva. 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 Maria Rosa Paiva. The network helps show where Maria Rosa Paiva may publish in the future.

Countries citing papers authored by Maria Rosa Paiva

Since Specialization
Citations

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

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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2025