Anna Di Natale

450 total citations
8 papers, 103 citations indexed

About

Anna Di Natale is a scholar working on Infectious Diseases, Health and Artificial Intelligence. According to data from OpenAlex, Anna Di Natale has authored 8 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Health and 3 papers in Artificial Intelligence. Recurrent topics in Anna Di Natale's work include SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (4 papers) and Topic Modeling (3 papers). Anna Di Natale is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (4 papers) and Topic Modeling (3 papers). Anna Di Natale collaborates with scholars based in Austria, Italy and Germany. Anna Di Natale's co-authors include David García, Thomas Niederkrotenthaler, H. Metzler, Bernard Rimé, Fabio Cannizzaro, Manuela Tamburro, Giancarlo Ripabelli, Michela Lucia Sammarco, Valeria Caggiano and Paola Stefanelli and has published in prestigious journals such as Emotion, Human Vaccines & Immunotherapeutics and Journal of Community Health.

In The Last Decade

Anna Di Natale

8 papers receiving 103 citations

Peers

Anna Di Natale

ID

HEALT

SPS

AI

MS

Victor E Villalobos-Daniel Mexico

María‐Eugenia Zaballa Switzerland

Robert Warmerdam Netherlands

Karis Moon Norway

James Schlitt United States

Louis Y. Kim United States

Patricia Guillem‐Sáiz Spain

Milica Vdović Serbia

Michele Connolly Australia

Martha Scherzer Denmark

Victor E Villalobos-Daniel Mexico

Anna Di Natale

13 ×0.3

ID

19 ×0.4

HEALT

6 ×0.3

SPS

2 ×0.1

AI

19 ×1.4

MS

Citations per year, relative to Anna Di Natale Anna Di Natale (= 1×) peers Victor E Villalobos-Daniel

Countries citing papers authored by Anna Di Natale

Since Specialization

Citations

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

Fields of papers citing papers by Anna Di Natale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Di Natale. 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 Anna Di Natale. The network helps show where Anna Di Natale may publish in the future.

Co-authorship network of co-authors of Anna Di Natale

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Metzler, H., et al.. (2023). LEIA: Linguistic Embeddings for the Identification of Affect. EPJ Data Science. 12(1). 52–52. 1 indexed citations

2.

Metzler, H., et al.. (2022). Collective emotions during the COVID-19 outbreak.. Emotion. 23(3). 844–858. 31 indexed citations

3.

Tamburro, Manuela, et al.. (2022). A Cross-Sectional Study of Untoward Reactions Following Homologous and Heterologous COVID-19 Booster Immunizations in Recipients Seventeen Years of Age and Older. Journal of Community Health. 47(5). 814–821. 7 indexed citations

4.

Natale, Anna Di & David García. (2022). LEXpander: applying colexification networks to automated lexicon expansion. arXiv (Cornell University). 4 indexed citations

5.

Ripabelli, Giancarlo, Michela Lucia Sammarco, Giovanni Rezza, et al.. (2022). A SARS-CoV-2 Outbreak Among Nursing Home Residents Vaccinated with a Booster Dose of mRNA COVID-19 Vaccine. Journal of Community Health. 47(4). 598–603. 10 indexed citations

6.

Ripabelli, Giancarlo, et al.. (2022). Safety of mRNA BNT162b2 COVID-19 (Pfizer-BioNtech) vaccine in children aged 5–11 years: Results from an active pharmacovigilance study in central Italy. Human Vaccines & Immunotherapeutics. 18(6). 2126668–2126668. 6 indexed citations

7.

Natale, Anna Di, et al.. (2021). Colexification Networks Encode Affective Meaning. Affective Science. 2(2). 99–111. 15 indexed citations

8.

Ripabelli, Giancarlo, Manuela Tamburro, Valeria Caggiano, et al.. (2021). Active Surveillance of Adverse Events in Healthcare Workers Recipients After Vaccination with COVID-19 BNT162b2 Vaccine (Pfizer-BioNTech, Comirnaty): A Cross-Sectional Study. Journal of Community Health. 47(2). 211–225. 29 indexed citations

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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