Grazia Caleo

1.1k citations
25 papers · 560 · h-index 14

Impact in

Papers in

Grazia Caleo

23 papers receiving 545 citations

Peers

Grazia Caleo
Comparison fields: 5 of 77
  • Modeling and Simulation 123
  • Applied Microbiology and Biotechnology 49
  • Emergency Medical Services 161
  • Infectious Diseases 309
  • Clinical Psychology 98
Replace Naïma Hammami with:
Naïma Hammami Belgium
Ben Duncan Sweden
Thamer H. Alenazi Saudi Arabia
Martin Kršák United States
Abdullatif Al‐Khal Qatar
Tsung-Shu Joseph Wu Taiwan
Eden V. Wells United States
A. M. Viens United Kingdom
Christina Makungu Tanzania
Anna‐Leena Lohiniva Egypt
Grazia Caleo relative to Naïma Hammami Belgium Naïma Hammami's profile →
Citations per field
00.5×8.3×
Naïma Hammami · 1×
Citations per year

Countries citing papers authored by Grazia Caleo

Since Specialization
Citations

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

Fields of papers citing papers by Grazia Caleo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Grazia Caleo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Grazia Caleo Line = papers co-authored together Grazia Caleo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 201583
3 201578
4 201574
5 201534
6 201623
7 201923
8 202120
9 201620
10 201320
11 201219
12 201714
13 201913
14 202013
15 201811
16 20234
17 20233
18 20251
19 20151
20 20241

About Grazia Caleo

Grazia Caleo is a scholar working on Infectious Diseases, Emergency Medical Services, Modeling and Simulation, Clinical Psychology and General Health Professions, having authored 25 papers that have together received 560 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (16 papers), Disaster Response and Management (8 papers), COVID-19 epidemiological studies (7 papers), Migration, Health and Trauma (6 papers), Global Maternal and Child Health (4 papers), Viral Infections and Vectors (4 papers), Global Security and Public Health (3 papers) and Health and Conflict Studies (2 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Applied Microbiology and Biotechnology (49 citations), Emergency Medical Services (161 citations), Infectious Diseases (309 citations) and Clinical Psychology (98 citations). Grazia Caleo has collaborated with scholars based in United Kingdom, Netherlands and Australia. Frequent co-authors include Kamalini Lokuge, James Sylvester Squire, Jane Greig, Anja Wolz, Michel Van Herp, Nils Daulaire, Stefan Elbe, Zain Rizvi, John‐Arne Røttingen and Precious Matsoso. Their work appears in journals such as BMJ Global Health, BMC Public Health, PLoS ONE, PLoS Currents and BMJ Open.

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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