Mario Cesare Nurchis

1.8k citations
45 papers · 452 indexed · h-index 12

Mario Cesare Nurchis

40 papers receiving 441 citations

Peers

Mario Cesare Nurchis
Comparison fields: 5 of 103
  • Infectious Diseases 117
  • Health 84
  • General Health Professions 84
  • Epidemiology 79
  • Economics and Econometrics 60
Replace Carlos A. Fermín‐Martínez with:
Carlos A. Fermín‐Martínez Mexico
Martina Sapienza Italy
David Salman United Kingdom
Jawad Chishtie Canada
Alejandro Márquez‐Salinas Mexico
Kelsey Young Canada
Nikkil Sudharsanan United States
Maria N. Nelson United States
Dun‐Sol Go South Korea
Prashant Jarhyan India
Mario Cesare Nurchis relative to Carlos A. Fermín‐Martínez Mexico Carlos A. Fermín‐Martínez's profile →
Citations per field
00.5×2.7×
Carlos A. Fermín‐Martínez · 1×
Citations per year

Countries citing papers authored by Mario Cesare Nurchis

Since Specialization
Citations

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

Fields of papers citing papers by Mario Cesare Nurchis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Cesare Nurchis. 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 Mario Cesare Nurchis. The network helps show where Mario Cesare Nurchis may publish in the future.

Co-authorship network of co-authors of Mario Cesare Nurchis

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Cesare Nurchis. A scholar is included among the top collaborators of Mario Cesare Nurchis 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 Mario Cesare Nurchis. Mario Cesare Nurchis 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 1
2 0
3 2
4 3
5 0
6 16
7 2
8 0
9 2
10 7
11 4
12 13
13 6
14 25
15 8
16 7
17 19
18 11
19 110
20 44

About Mario Cesare Nurchis

Mario Cesare Nurchis is a scholar working on Issues, ethics and legal aspects, Modeling and Simulation and Health, having authored 45 papers that have together received 452 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Vaccine Coverage and Hesitancy (7 papers) and Genomics and Rare Diseases (6 papers). The work is most often cited by research in Modeling and Simulation (60 citations), Health Informatics (16 citations) and Health (84 citations). Mario Cesare Nurchis has collaborated with scholars based in Italy, United States and Serbia. Frequent co-authors include Gianfranco Damiani, Domenico Pascucci, Patrizia Laurenti, Martina Sapienza, Floriana D’Ambrosio, Maria Michela Gianino, Leonardo Villani, Maria Lucia Specchia, Gianfranco Politano and Michele Sassano. Their work appears in journals such as Nature Communications, Scientific Reports and International Journal of Environmental Research and Public Health.

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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