Lorenzo Mari

4.4k citations
79 papers · 2.8k indexed · 1 hit paper · h-index 28
Topics
COVID-19 epidemiological studies (27 papers)Vibrio bacteria research studies (19 papers)Zoonotic diseases and public health (10 papers)

In The Last Decade

Lorenzo Mari

74 papers receiving 2.8k citations

Hit Papers

Spread and dynamics of the COVID-19 epidemic in Italy: Ef...20202026202220242020200400600

Peers

Lorenzo Mari
Comparison fields: 5 of 148
  • Modeling and Simulation 1.2k
  • Ecology 648
  • Public Health, Environmental and Occupational Health 635
  • Endocrinology 451
  • Epidemiology 369
Replace Renato Casagrandi with:
Renato Casagrandi Italy
Marino Gatto Italy
Enrico Bertuzzo Italy
Iain Lake United Kingdom
Matthew J. Ferrari United States
Xavier Rodó Spain
Zhongjie Li China
Christopher A. Gilligan United Kingdom
Shlomit Paz Israel
Bernard Cazelles France
Lorenzo Mari relative to Renato Casagrandi Italy Renato Casagrandi's profile →
Citations per field
00.5×1.5×
Renato Casagrandi · 1×
Citations per year

Countries citing papers authored by Lorenzo Mari

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Mari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Mari

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Mari. A scholar is included among the top collaborators of Lorenzo Mari 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 Lorenzo Mari. Lorenzo Mari 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 0
2 4
3 1
4 1
5 10
6 15
7 3
8 31
9 13
10 108
11 10
12
Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measuresbreakdown →
730
13 11
14 13
15 51
16 44
17 22
18 8
19 91
20 20

About Lorenzo Mari

Lorenzo Mari is a scholar working on Modeling and Simulation, Endocrinology and Nature and Landscape Conservation, having authored 79 papers that have together received 2.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (27 papers), Vibrio bacteria research studies (19 papers) and Zoonotic diseases and public health (10 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Endocrinology (451 citations) and Ecological Modeling (120 citations). Lorenzo Mari has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Enrico Bertuzzo, Marino Gatto, Renato Casagrandi, Andrea Rinaldo, Andrea Rinaldo, Stefano Miccoli, Luca Carraro, I. Rodriguez‐Iturbe, Lorenzo Righetto and Flavio Finger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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