Giovanni M. Marchetti

1.1k total citations
44 papers, 730 citations indexed

About

Giovanni M. Marchetti is a scholar working on Artificial Intelligence, Statistics and Probability and Oceanography. According to data from OpenAlex, Giovanni M. Marchetti has authored 44 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 8 papers in Oceanography. Recurrent topics in Giovanni M. Marchetti's work include Bayesian Modeling and Causal Inference (13 papers), Marine Biology and Ecology Research (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Giovanni M. Marchetti is often cited by papers focused on Bayesian Modeling and Causal Inference (13 papers), Marine Biology and Ecology Research (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Giovanni M. Marchetti collaborates with scholars based in Italy, Sweden and United States. Giovanni M. Marchetti's co-authors include Felicita Scapini, Lucia Fanini, Omar Defeo, Stefano Bombardieri, Nanny Wermuth, Stefano Focardi, Giacomo Santini, Francesca Porri, Claudia Rossano and Elfed Morgan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Giovanni M. Marchetti

43 papers receiving 691 citations

Peers

Giovanni M. Marchetti
Comparison fields: 5 of 126
  • Oceanography 217
  • Ecology 213
  • Artificial Intelligence 100
  • Physiology 88
  • Global and Planetary Change 85
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Chitralekha Bhattacharya United States
Mariangela Sciandra Italy
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Dankert W. Skagen Norway
Janet Chaseling Australia
Yan Jiao United States
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Citations per field, relative to Giovanni M. Marchetti
Giovanni M. Marchetti · 1×
Citations per year, relative to Giovanni M. Marchetti
Giovanni M. Marchetti · 1×

Countries citing papers authored by Giovanni M. Marchetti

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni M. Marchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni M. Marchetti

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni M. Marchetti. A scholar is included among the top collaborators of Giovanni M. Marchetti 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 M. Marchetti. Giovanni M. Marchetti 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
# Work Indexed citations
1 6
2 1
3 4
4 30
5 10
6 1
7 9
8 30
9 13
10 1
11 10
12 39
13 25
14
Independencies Induced from a Graphical Markov Model After Marginalization and Conditioning: The R Package ggm
5
15 13
16 21
17 11
18 8
19 15
20 25

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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