Gianna Agrò

524 citations
14 papers · 378 · h-index 7

Impact in

Papers in

Gianna Agrò

13 papers receiving 368 citations

Peers

Gianna Agrò
Comparison fields: 5 of 66
  • Statistics and Probability 204
  • Statistics, Probability and Uncertainty 108
  • Finance 48
  • Statistical and Nonlinear Physics 49
  • Artificial Intelligence 95
Replace Athanasios C. Micheas with:
Athanasios C. Micheas United States
Toby Lewis United Kingdom
Adel Mohammadpour Iran
Fahimah Al-Awadhi Kuwait
Juhyun Park United Kingdom
Claudia Kirch Germany
Catherine Huber‐Carol France
Omid Kharazmi Iran
Holger Müller Germany
María Dolores Martínez Miranda Brazil
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Citations per field
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Athanasios C. Micheas · 1×
Citations per year

Countries citing papers authored by Gianna Agrò

Since Specialization
Citations

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

Fields of papers citing papers by Gianna Agrò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Gianna Agrò, 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 Gianna Agrò Line = papers co-authored together Gianna Agrò links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2015224
2 201941
3 199541
4 201323
5 201217
6 201816
7 20128
8
Influence of a specific aquatic adapted physical activity in a child with Autism Spectrum Disorders: A case study
20193
9
Assessing fat-tailed sequential forecast distributions for the Dow-Jones index with logarithmic scoring rules
20071
10 20161
11
Air quality assessment via functional principal component analysis
20091
12
Il modulo elastico statico e dinamico del calcestruzzo
20121
13
From a multivariate spatio-temporal array to a multipollutant - multisite Air Quality Index
20101
14 20230

About Gianna Agrò

Gianna Agrò is a scholar working on Statistics and Probability, Civil and Structural Engineering, Statistical and Nonlinear Physics, Health, Toxicology and Mutagenesis and Artificial Intelligence, having authored 14 papers that have together received 378 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Statistical Mechanics and Entropy (2 papers), Statistical and numerical algorithms (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Air Quality and Health Impacts (2 papers), Forecasting Techniques and Applications (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Statistics and Probability (204 citations), Statistics, Probability and Uncertainty (108 citations), Finance (48 citations), Statistical and Nonlinear Physics (49 citations) and Artificial Intelligence (95 citations). Gianna Agrò has collaborated with scholars based in Italy and New Zealand. Frequent co-authors include Giuseppe Sanfilippo, Frank Lad, Giuseppe Battaglia, Francesca Di Salvo, Antonella Plaia, Marianna Alesi, Pietro Cataldo and Antonio Palma. Their work appears in journals such as Atmospheric Environment, Statistical Science, Journal of Applied Statistics, Journal of Functional Morphology and Kinesiology and Entropy.

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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