Giovanni Picogna

74 total papers · 1.1k total citations
37 papers, 740 citations indexed

About

Giovanni Picogna is a scholar working on Astronomy and Astrophysics, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Giovanni Picogna has authored 37 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Astronomy and Astrophysics, 8 papers in Spectroscopy and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Giovanni Picogna's work include Astrophysics and Star Formation Studies (35 papers), Stellar, planetary, and galactic studies (29 papers) and Astro and Planetary Science (19 papers). Giovanni Picogna is often cited by papers focused on Astrophysics and Star Formation Studies (35 papers), Stellar, planetary, and galactic studies (29 papers) and Astro and Planetary Science (19 papers). Giovanni Picogna collaborates with scholars based in Germany, United Kingdom and United States. Giovanni Picogna's co-authors include Barbara Ercolano, W. Kley, F. Marzari, James E. Owen, T. Preibisch, Catherine Espaillat, J. J. Drake, Giovanni Rosotti, L. Testi and T. Birnstiel and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Giovanni Picogna

37 papers receiving 664 citations

Author Peers

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

Author Last Decade Papers Cites
Giovanni Picogna 695 143 27 23 20 37 740
Jean-François Gonzalez 700 1.0× 193 1.3× 51 1.9× 16 0.7× 17 0.8× 39 737
Shangjia Zhang 640 0.9× 225 1.6× 11 0.4× 12 0.5× 18 0.9× 19 671
David A. Principe 628 0.9× 203 1.4× 10 0.4× 19 0.8× 17 0.8× 36 641
Christian Rab 679 1.0× 253 1.8× 15 0.6× 20 0.9× 47 2.4× 53 718
R. J. Maddalena 753 1.1× 96 0.7× 14 0.5× 115 5.0× 51 2.5× 37 807
Enrique Macías 689 1.0× 273 1.9× 7 0.3× 18 0.8× 11 0.6× 45 721
Kazuyoshi Sunada 760 1.1× 311 2.2× 40 1.5× 26 1.1× 34 1.7× 46 770
Josh Walawender 705 1.0× 182 1.3× 34 1.3× 31 1.3× 22 1.1× 42 717
Kazuo Sorai 738 1.1× 149 1.0× 16 0.6× 63 2.7× 22 1.1× 49 751
A. Traficante 618 0.9× 131 0.9× 38 1.4× 34 1.5× 32 1.6× 44 658

Countries citing papers authored by Giovanni Picogna

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Picogna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Picogna

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