Maria Grazia Binda

52 total papers · 825 total citations
37 papers, 683 citations indexed

About

Maria Grazia Binda is a scholar working on Ecology, Evolution, Behavior and Systematics, Physiology and Astronomy and Astrophysics. According to data from OpenAlex, Maria Grazia Binda has authored 37 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Physiology and 6 papers in Astronomy and Astrophysics. Recurrent topics in Maria Grazia Binda's work include Tardigrade Biology and Ecology (37 papers), Biocrusts and Microbial Ecology (25 papers) and Polar Research and Ecology (6 papers). Maria Grazia Binda is often cited by papers focused on Tardigrade Biology and Ecology (37 papers), Biocrusts and Microbial Ecology (25 papers) and Polar Research and Ecology (6 papers). Maria Grazia Binda collaborates with scholars based in Italy and Australia. Maria Grazia Binda's co-authors include Giovanni Pilato, Oscar Lisi, Antonio Napolitano, Roberto Catanzaro, Roberto Bertolani, Lorena Rebecchi, Erminia Conti, Giuseppe Fabrizio Turrisi, Giancarlo Rappazzo and Francesca Sammartano and has published in prestigious journals such as Polar Biology, Zootaxa and Journal of Limnology.

In The Last Decade

Maria Grazia Binda

37 papers receiving 644 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Grazia Binda 654 220 170 130 54 37 683
William R. Miller 486 0.7× 222 1.0× 104 0.6× 106 0.8× 53 1.0× 63 726
Oscar Lisi 663 1.0× 195 0.9× 165 1.0× 108 0.8× 52 1.0× 71 712
Paul J. Bartels 603 0.9× 262 1.2× 144 0.8× 118 0.9× 78 1.4× 43 731
Harry A. Meyer 540 0.8× 266 1.2× 116 0.7× 74 0.6× 25 0.5× 45 650
Claudia Pacelli 212 0.3× 273 1.2× 190 1.1× 145 1.1× 122 2.3× 35 661
Steffen Hengherr 459 0.7× 104 0.5× 44 0.3× 301 2.3× 80 1.5× 15 588
Cyprien Verseux 157 0.2× 198 0.9× 257 1.5× 216 1.7× 118 2.2× 32 602
R O Schuster 501 0.8× 140 0.6× 66 0.4× 32 0.2× 31 0.6× 35 570
Magdalena Gawlak 363 0.6× 158 0.7× 65 0.4× 83 0.6× 102 1.9× 52 599
A. A. Grigarick 452 0.7× 263 1.2× 64 0.4× 34 0.3× 68 1.3× 57 791

Countries citing papers authored by Maria Grazia Binda

Since Specialization
Citations

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

Fields of papers citing papers by Maria Grazia Binda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Grazia Binda

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Grazia Binda. A scholar is included among the top collaborators of Maria Grazia Binda 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 Maria Grazia Binda. Maria Grazia Binda 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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