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Filippo Radicchi

Biographic Data

ID9458266
NAMEFilippo Radicchi
GIVEN NAMESFilippo
FAMILY NAMERadicchi
SIGNATURERADICCHI F
AFFILIATIONSIndiana University
ORCID0000-0002-8352-1287
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2004
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Consistency pays off in science

    Open Access•Şirag Erkol, Sandipan Sikdar et al.•ARTICLE•Quantitative Science Studies•2023

    The exponentially growing number of scientific papers stimulates a discussion on the interplay between quantity and quality in science. In particular, one may wonder which publication strategy may offer more chances of success: publishing lots of papers, producing a few hit papers, or something in between. Here we tackle this question by studying the scientific portfolios of Nobel Prize laureates. A comparative analysis of different citation-base…

  • Science of science

    Open Access•Santo Fortunato, Carl T Bergstrom et al.•ARTICLE•Science•2018

    The whys and wherefores of SciSci The science of science (SciSci) is based on a transdisciplinary approach that uses large data sets to study the mechanisms underlying the doing of science—from the choice of a research problem to career trajectories and progress within a field. In a Review, Fortunato et al. explain that the underlying rationale is that with a deeper understanding of the precursors of impactful science, it will be possible to deve…

  • Defining and identifying Sleeping Beauties in science

    Open Access•Qing Ke, Emilio Ferrara et al.•ARTICLE•Proceedings of the National…•2015

    Significance Scientific papers typically have a finite lifetime: their rate to attract citations achieves its maximum a few years after publication, and then steadily declines. Previous studies pointed out the existence of a few blatant exceptions: papers whose relevance has not been recognized for decades, but then suddenly become highly influential and cited. The Einstein, Podolsky, and Rosen “paradox” paper is an exemplar Sleeping Beauty. We s…

  • Benchmark graphs for testing community detection algorithms

    Open Access•Andrea Lancichinetti, Santo Fortunato et al.•ARTICLE•Physical Review E•2008

    Community structure is one of the most important features of real networks and reveals the internal organization of the nodes. Many algorithms have been proposed but the crucial issue of testing, i.e., the question of how good an algorithm is, with respect to others, is still open. Standard tests include the analysis of simple artificial graphs with a built-in community structure, that the algorithm has to recover. However, the special graphs ado…

  • Universality of citation distributions

    Open Access•Filippo Radicchi, Santo Fortunato et al.•ARTICLE•Proceedings of the National…•2008

    We study the distributions of citations received by a single publication within several disciplines, spanning broad areas of science. We show that the probability that an article is cited c times has large variations between different disciplines, but all distributions are rescaled on a universal curve when the relative indicator c f = c / c 0 is considered, where c 0 is the average number of citations per article for the discipline. In addition …

  • Defining and identifying communities in networks

    Open Access•Filippo Radicchi, Claudio Castellano et al.•ARTICLE•Proceedings of the National…•2004

    The investigation of community structures in networks is an important issue in many domains and disciplines. This problem is relevant for social tasks (objective analysis of relationships on the web), biological inquiries (functional studies in metabolic and protein networks), or technological problems (optimization of large infrastructures). Several types of algorithms exist for revealing the community structure in networks, but a general and qu…

No prominent works on this page.

  • Defining and identifying communities in networks

    Open Access•Filippo Radicchi, Claudio Castellano et al.•ARTICLE•Proceedings of the National…•2004

    The investigation of community structures in networks is an important issue in many domains and disciplines. This problem is relevant for social tasks (objective analysis of relationships on the web), biological inquiries (functional studies in metabolic and protein networks), or technological problems (optimization of large infrastructures). Several types of algorithms exist for revealing the community structure in networks, but a general and qu…

  • Benchmark graphs for testing community detection algorithms

    Open Access•Andrea Lancichinetti, Santo Fortunato et al.•ARTICLE•Physical Review E•2008

    Community structure is one of the most important features of real networks and reveals the internal organization of the nodes. Many algorithms have been proposed but the crucial issue of testing, i.e., the question of how good an algorithm is, with respect to others, is still open. Standard tests include the analysis of simple artificial graphs with a built-in community structure, that the algorithm has to recover. However, the special graphs ado…

  • Universality of citation distributions

    Open Access•Filippo Radicchi, Santo Fortunato et al.•ARTICLE•Proceedings of the National…•2008

    We study the distributions of citations received by a single publication within several disciplines, spanning broad areas of science. We show that the probability that an article is cited c times has large variations between different disciplines, but all distributions are rescaled on a universal curve when the relative indicator c f = c / c 0 is considered, where c 0 is the average number of citations per article for the discipline. In addition …

  • Defining and identifying Sleeping Beauties in science

    Open Access•Qing Ke, Emilio Ferrara et al.•ARTICLE•Proceedings of the National…•2015

    Significance Scientific papers typically have a finite lifetime: their rate to attract citations achieves its maximum a few years after publication, and then steadily declines. Previous studies pointed out the existence of a few blatant exceptions: papers whose relevance has not been recognized for decades, but then suddenly become highly influential and cited. The Einstein, Podolsky, and Rosen “paradox” paper is an exemplar Sleeping Beauty. We s…

  • Science of science

    Open Access•Santo Fortunato, Carl T Bergstrom et al.•ARTICLE•Science•2018

    The whys and wherefores of SciSci The science of science (SciSci) is based on a transdisciplinary approach that uses large data sets to study the mechanisms underlying the doing of science—from the choice of a research problem to career trajectories and progress within a field. In a Review, Fortunato et al. explain that the underlying rationale is that with a deeper understanding of the precursors of impactful science, it will be possible to deve…

  • Consistency pays off in science

    Open Access•Şirag Erkol, Sandipan Sikdar et al.•ARTICLE•Quantitative Science Studies•2023

    The exponentially growing number of scientific papers stimulates a discussion on the interplay between quantity and quality in science. In particular, one may wonder which publication strategy may offer more chances of success: publishing lots of papers, producing a few hit papers, or something in between. Here we tackle this question by studying the scientific portfolios of Nobel Prize laureates. A comparative analysis of different citation-base…

Computer Science (5 works) · scientometrics and bibliometrics research (4 works) · Citation (3 works) · Complex Network Analysis Techniques (3 works) · Data mining (3 works) · Data science (3 works) · Library science (3 works) · Mathematics (3 works) · Artificial Intelligence (2 works) · Biology (2 works)

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