Marco D’Anna

74 total papers · 1.4k total citations
32 papers, 538 citations indexed

About

Marco D’Anna is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics and Geometry and Topology. According to data from OpenAlex, Marco D’Anna has authored 32 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Algebra and Number Theory, 15 papers in Computational Theory and Mathematics and 14 papers in Geometry and Topology. Recurrent topics in Marco D’Anna's work include Commutative Algebra and Its Applications (28 papers), Rings, Modules, and Algebras (17 papers) and Polynomial and algebraic computation (15 papers). Marco D’Anna is often cited by papers focused on Commutative Algebra and Its Applications (28 papers), Rings, Modules, and Algebras (17 papers) and Polynomial and algebraic computation (15 papers). Marco D’Anna collaborates with scholars based in Italy, Sweden and Spain. Marco D’Anna's co-authors include Marco Fontana, Carmelo Antonio Finocchiaro, Valentina Barucci, Ralf Fröberg, Vincenzo Micale, Pedro A. García-Sánchez, William Heinzer and Scott T. Chapman and has published in prestigious journals such as Journal of Algebra, Mathematische Zeitschrift and Journal of Pure and Applied Algebra.

In The Last Decade

Marco D’Anna

27 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Marco D’Anna 525 377 118 31 10 32 538
David E. Rush 469 0.9× 272 0.7× 181 1.5× 28 0.9× 18 1.8× 70 520
Friedrich Kasch 405 0.8× 269 0.7× 76 0.6× 57 1.8× 30 3.0× 39 480
Abraham Zaks 391 0.7× 256 0.7× 118 1.0× 61 2.0× 24 2.4× 50 522
Valentina Barucci 519 1.0× 311 0.8× 231 2.0× 14 0.5× 24 2.4× 36 544
Raymond C. Heitmann 329 0.6× 247 0.7× 99 0.8× 59 1.9× 15 1.5× 35 452
Paul-Jean Cahen 416 0.8× 267 0.7× 124 1.1× 61 2.0× 33 3.3× 46 500
Gorô Azumaya 454 0.9× 299 0.8× 94 0.8× 71 2.3× 37 3.7× 18 533
Jay Shapiro 501 1.0× 346 0.9× 160 1.4× 26 0.8× 62 6.2× 49 535
Thomas Marley 434 0.8× 365 1.0× 191 1.6× 18 0.6× 12 1.2× 21 465
Ira J. Papick 365 0.7× 202 0.5× 62 0.5× 29 0.9× 11 1.1× 40 458

Countries citing papers authored by Marco D’Anna

Since Specialization
Citations

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

Fields of papers citing papers by Marco D’Anna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco D’Anna. 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 Marco D’Anna. The network helps show where Marco D’Anna may publish in the future.

Co-authorship network of co-authors of Marco D’Anna

This figure shows the co-authorship network connecting the top 25 collaborators of Marco D’Anna. A scholar is included among the top collaborators of Marco D’Anna 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 Marco D’Anna. Marco D’Anna 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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