Germana Di Maida

12 papers and 391 indexed citations i.

About

Germana Di Maida is a scholar working on Oceanography, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Germana Di Maida has authored 12 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oceanography, 9 papers in Ecology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Germana Di Maida’s work include Marine and coastal plant biology (11 papers), Coastal wetland ecosystem dynamics (6 papers) and Coral and Marine Ecosystems Studies (3 papers). Germana Di Maida is often cited by papers focused on Marine and coastal plant biology (11 papers), Coastal wetland ecosystem dynamics (6 papers) and Coral and Marine Ecosystems Studies (3 papers). Germana Di Maida collaborates with scholars based in Italy, United States and Portugal. Germana Di Maida's co-authors include Sebastiano Calvo, Maria Pirrotta, Agostino Tomasello, Gabriele Procaccini, Mariangela Sciandra, Antonio Mazzola, Salvatrice Vizzini, Marco Borra, Carlos M. Duarte and Sophie Arnaud‐Haond and has published in prestigious journals such as Journal of Ecology, Molecular Ecology and Ecological Indicators.

In The Last Decade

Co-authorship network of co-authors of Germana Di Maida i

Fields of papers citing papers by Germana Di Maida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Germana Di Maida. 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 Germana Di Maida. The network helps show where Germana Di Maida may publish in the future.

Countries citing papers authored by Germana Di Maida

Since Specialization
Citations

This map shows the geographic impact of Germana Di Maida'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 Germana Di Maida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germana Di Maida 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