Martina Celidoni

17 papers receiving 278 citations

Peers

Martina Celidoni
Comparison fields: 5 of 66
  • Demography 122
  • General Health Professions 118
  • Sociology and Political Science 89
  • Health 52
  • Transportation 48
Replace Iris Gomez-Lopez with:
Iris Gomez-Lopez United States
Marianne Abramsson Sweden
Min Hee Kim United States
Sara Alidoust Australia
Debbie Lager Netherlands
Maša Filipovič Hrast Slovenia
Tony Warnes United Kingdom
Stephanie Steels United Kingdom
António Abellàn García Spain
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Martina Celidoni relative to Iris Gomez-Lopez United States Iris Gomez-Lopez's profile →
Citations per field
00.5×2.9×
Iris Gomez-Lopez · 1×
Citations per year

Countries citing papers authored by Martina Celidoni

Since Specialization
Citations

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

Fields of papers citing papers by Martina Celidoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Celidoni

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 6
3 8
4 2
5 12
6 1
7 11
8 7
9 24
10 70
11 49
12 1
13 5
14
The contribution of paradata to panel cooperation in SHARE
1
15 21
16 69
17
Determinants of inequality in Italy: an approach based on the shapley decomposition
1
18
AN ANALYSIS OF THE LENGTH OF STAY: PRICES EFFECT AND TOURISTS’ PREFERENCES
1

About Martina Celidoni

Martina Celidoni is a scholar working on Demography, Health and Safety Research, having authored 18 papers that have together received 289 indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (5 papers), Global Health Care Issues (4 papers) and Income, Poverty, and Inequality (4 papers). The work is most often cited by research in Demography (122 citations), Transportation (48 citations) and Neuropsychology and Physiological Psychology (10 citations). Martina Celidoni has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Luca Salmasi, Guglielmo Weber, Vincenzo Rebba, Joan Costa‐Font, Marco Bertoni, Andrea Ermolao, Daniel Neunhäeuserer, Valentina De Marchi, Francesca Battista and Marco Vecchiato. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Health Economics and Journal of Economic Behavior & Organization.

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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