Marco Gherardi

1.3k citations
40 papers · 366 indexed · h-index 12
Topics
Theoretical and Computational Physics (6 papers)Complex Network Analysis Techniques (6 papers)Statistical Mechanics and Entropy (6 papers)

In The Last Decade

Marco Gherardi

37 papers receiving 365 citations

Peers

Marco Gherardi
Comparison fields: 5 of 91
  • Molecular Biology 103
  • Artificial Intelligence 70
  • Statistical and Nonlinear Physics 68
  • Genetics 54
  • Insect Science 38
Replace Daniel Müllner with:
Daniel Müllner United States
Vivi Rottschäfer Netherlands
Carmela Marangi Italy
Pedro Miramóntes Mexico
A. B. Potapov Canada
NIRA RICHTER-DYN Israel
Ivan G. Szendro Germany
P Tautu Germany
Andrew Golightly United Kingdom
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Marco Gherardi relative to Daniel Müllner United States Daniel Müllner's profile →
Citations per field
00.5×4.8×
Daniel Müllner · 1×
Citations per year

Countries citing papers authored by Marco Gherardi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Gherardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Gherardi

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Gherardi. A scholar is included among the top collaborators of Marco Gherardi 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 Gherardi. Marco Gherardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 0
3 32
4 2
5 1
6 4
7 7
8 14
9 11
10 15
11 5
12 25
13 2
14 6
15 9
16 2
17 24
18 2
19 3
20 37

About Marco Gherardi

Marco Gherardi is a scholar working on Statistical and Nonlinear Physics, Critical Care and Intensive Care Medicine and Condensed Matter Physics, having authored 40 papers that have together received 366 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (6 papers), Complex Network Analysis Techniques (6 papers) and Statistical Mechanics and Entropy (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (68 citations), Insect Science (38 citations) and Oceanography (29 citations). Marco Gherardi has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Marco Cosentino Lagomarsino, M. Tamm, Kirill Polovnikov, Valentina Bugelli, Stefano Vanin, Marco Di Paolo, Daniele Iudicone, Maurizio Ribera d’Alcalà, Alberto Amato and Maria Immacolata Ferrante. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Genetics.

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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