Camilla Ferrari

127 total papers · 2.5k total citations
74 papers, 2.1k citations indexed

About

Camilla Ferrari is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Analytical Chemistry. According to data from OpenAlex, Camilla Ferrari has authored 74 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pollution, 19 papers in Health, Toxicology and Mutagenesis and 19 papers in Analytical Chemistry. Recurrent topics in Camilla Ferrari's work include Heavy metals in environment (29 papers), Electrochemical Analysis and Applications (18 papers) and Mercury impact and mitigation studies (10 papers). Camilla Ferrari is often cited by papers focused on Heavy metals in environment (29 papers), Electrochemical Analysis and Applications (18 papers) and Mercury impact and mitigation studies (10 papers). Camilla Ferrari collaborates with scholars based in Italy, India and United States. Camilla Ferrari's co-authors include Ornella Abollino, Mery Malandrino, E. Mentasti, Edoar̈do Mentasti, Maurizio Aceto, Carmela La Gioia, Sandro Buoso, V. Murugesan, Silvia Berto and Rosanna Toniolo and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Food Chemistry.

In The Last Decade

Camilla Ferrari

72 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Camilla Ferrari 619 434 420 347 310 74 2.1k
Carlo Cremisini 945 1.5× 752 1.7× 392 0.9× 174 0.5× 292 0.9× 87 2.8k
Zikri Arslan 515 0.8× 642 1.5× 381 0.9× 208 0.6× 541 1.7× 87 2.8k
Philippe Behra 455 0.7× 678 1.6× 349 0.8× 482 1.4× 323 1.0× 56 2.9k
E. Mentasti 576 0.9× 218 0.5× 356 0.8× 743 2.1× 494 1.6× 60 2.3k
Jens Christian Tjell 688 1.1× 446 1.0× 233 0.6× 474 1.4× 168 0.5× 56 2.5k
A.M. Mota 638 1.0× 488 1.1× 411 1.0× 164 0.5× 304 1.0× 61 1.9k
Jorge Yáñez 396 0.6× 529 1.2× 157 0.4× 585 1.7× 336 1.1× 94 2.4k
Robert A. Chalmers 371 0.6× 238 0.5× 378 0.9× 237 0.7× 322 1.0× 53 1.9k
Marin Șenilă 583 0.9× 371 0.9× 177 0.4× 339 1.0× 501 1.6× 146 2.0k
Jorge C. Masini 524 0.8× 170 0.4× 477 1.1× 441 1.3× 661 2.1× 129 2.5k

Countries citing papers authored by Camilla Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Camilla Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Camilla Ferrari. A scholar is included among the top collaborators of Camilla Ferrari 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 Camilla Ferrari. Camilla Ferrari 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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2026