Franco Ferrari

131 total papers · 2.0k total citations
75 papers, 1.6k citations indexed

About

Franco Ferrari is a scholar working on Nuclear and High Energy Physics, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Franco Ferrari has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Nuclear and High Energy Physics, 19 papers in Molecular Biology and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Franco Ferrari's work include Black Holes and Theoretical Physics (28 papers), Theoretical and Computational Physics (12 papers) and Algebraic structures and combinatorial models (11 papers). Franco Ferrari is often cited by papers focused on Black Holes and Theoretical Physics (28 papers), Theoretical and Computational Physics (12 papers) and Algebraic structures and combinatorial models (11 papers). Franco Ferrari collaborates with scholars based in Poland, Italy and Germany. Franco Ferrari's co-authors include J A Hoch, John Crissman, Joseph Cappello, Anh Hoang Nguyen, K Trach, E Ferrari, Hamidreza Ghandehari, I. Lazzizzera, Ashish Nagarsekar and Jean Spence and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Analytical Biochemistry.

In The Last Decade

Franco Ferrari

72 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Franco Ferrari 686 574 524 287 174 75 1.6k
Jan Dijk 1.0k 1.5× 329 0.6× 201 0.4× 179 0.6× 249 1.4× 49 1.6k
Victoria Ann Higman 1.2k 1.7× 148 0.3× 44 0.1× 84 0.3× 463 2.7× 33 2.1k
K. P. Gopinathan 845 1.2× 193 0.3× 123 0.2× 137 0.5× 219 1.3× 146 1.7k
Takao Kawai 492 0.7× 91 0.2× 36 0.1× 77 0.3× 115 0.7× 77 1.8k
Éric Raspaud 1.1k 1.6× 191 0.3× 75 0.1× 555 1.9× 383 2.2× 42 2.2k
Tina L. Trapane 1.0k 1.5× 326 0.6× 187 0.4× 36 0.1× 83 0.5× 49 1.5k
Koki Sato 1.4k 2.0× 360 0.6× 81 0.2× 377 1.3× 287 1.6× 110 2.2k
Nathan R. Zaccai 1.3k 1.9× 236 0.4× 286 0.5× 175 0.6× 217 1.2× 42 2.1k
Christopher Aisenbrey 1.5k 2.2× 74 0.1× 265 0.5× 103 0.4× 184 1.1× 73 2.0k
Dieter K. Schneider 682 1.0× 86 0.1× 91 0.2× 40 0.1× 413 2.4× 51 1.7k

Countries citing papers authored by Franco Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Franco Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franco Ferrari

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