Valerio Maggio

754 total citations
19 papers, 361 citations indexed

About

Valerio Maggio is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Valerio Maggio has authored 19 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Artificial Intelligence and 4 papers in Software. Recurrent topics in Valerio Maggio's work include Software Engineering Research (7 papers), Software Reliability and Analysis Research (3 papers) and Mental Health via Writing (3 papers). Valerio Maggio is often cited by papers focused on Software Engineering Research (7 papers), Software Reliability and Analysis Research (3 papers) and Mental Health via Writing (3 papers). Valerio Maggio collaborates with scholars based in Italy, United Kingdom and Australia. Valerio Maggio's co-authors include Anna Corazza, Sergio Di Martino, Giuseppe Scanniello, Cesare Furlanello, Giuseppe Jurman, Marco Chierici, Andrea Bizzego, Oliver S. P. Davis, Claire M. A. Haworth and Margherita Francescatto and has published in prestigious journals such as The Lancet, PLoS ONE and International Journal of Epidemiology.

In The Last Decade

Valerio Maggio

19 papers receiving 346 citations

Peers

Valerio Maggio

SOFTW

CNC

RNMI

B M Mainul Hossain Bangladesh

K. Seetharaman India

Aziz Makandar India

Abdulbasit A. Darem Saudi Arabia

Xiajiong Shen China

Yifan Yao China

Naresh Kumar India

A. Bos Netherlands

Asma A. Alhashmi Saudi Arabia

Krerk Piromsopa Thailand

B M Mainul Hossain Bangladesh

Valerio Maggio

101 ×0.5

67 ×0.5

75 ×0.9

SOFTW

64 ×1.0

CNC

4 ×0.1

RNMI

Citations per year, relative to Valerio Maggio Valerio Maggio (= 1×) peers B M Mainul Hossain

Countries citing papers authored by Valerio Maggio

Since Specialization

Citations

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

Fields of papers citing papers by Valerio Maggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerio Maggio

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

All Works

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19 of 19 papers shown

Maggio, Valerio, et al.. (2023). Methodologies for Monitoring Mental Health on Twitter: Systematic Review. Journal of Medical Internet Research. 25. e42734–e42734. 19 indexed citations

Tanner, Alastair R., Valerio Maggio, Richard Thomas, et al.. (2023). Epicosm—a framework for linking online social media in epidemiological cohorts. International Journal of Epidemiology. 52(3). 952–957. 1 indexed citations

Maggio, Valerio, et al.. (2022). Data Ethics Club: Creating a collaborative space to discuss data ethics. Patterns. 3(7). 100537–100537. 2 indexed citations

Song, Jiao, Valerio Maggio, Alastair R. Tanner, et al.. (2021). Mapping Population Vulnerability and Community Support during COVID-19. International Journal for Population Data Science. 5(4). 1409–1409. 3 indexed citations

Maggio, Valerio, et al.. (2021). Understanding the potential and pitfalls of digital phenotypes to measure population mental health and wellbeing. The Lancet. 398. S10–S10. 2 indexed citations

Maggio, Valerio, et al.. (2020). TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting. Scientific Data. 7(1). 234–234. 20 indexed citations

Nardelli, Andrea, et al.. (2019). Deep Learning for rain and lightning nowcasting. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Bizzego, Andrea, Marco Chierici, Valerio Maggio, et al.. (2019). Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. PLoS Computational Biology. 15(3). e1006269–e1006269. 42 indexed citations

Bizzego, Andrea, et al.. (2019). Integrating deep and radiomics features in cancer bioimaging. Institutional Research Information System (Università degli Studi di Trento). 1–8. 22 indexed citations

10.

Wu, Leihong, Zhichao Liu, Tanmay Bera, et al.. (2019). A deep learning model to recognize food contaminating beetle species based on elytra fragments. Computers and Electronics in Agriculture. 166. 105002–105002. 36 indexed citations

11.

Maggio, Valerio, Marco Chierici, Giuseppe Jurman, & Cesare Furlanello. (2018). Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma. PLoS ONE. 13(12). e0208924–e0208924. 18 indexed citations

12.

Corazza, Anna, Valerio Maggio, & Giuseppe Scanniello. (2016). Coherence of comments and method implementations: a dataset and an empirical investigation. Software Quality Journal. 26(2). 751–777. 26 indexed citations

13.

Corazza, Anna, Sergio Di Martino, Valerio Maggio, & Giuseppe Scanniello. (2015). Weighing lexical information for software clustering in the context of architecture recovery. Empirical Software Engineering. 21(1). 72–103. 22 indexed citations

14.

Corazza, Anna, Valerio Maggio, & Giuseppe Scanniello. (2015). On the Coherence between Comments and Implementations in Source Code. CINECA IRIS Institutional Research Information System (University of Basilicata). 76–83. 12 indexed citations

15.

Amalfitano, Domenico, Anna Rita Fasolino, Valerio Maggio, et al.. (2014). Migrating legacy spreadsheets-based systems to Web MVC architecture: An industrial case study. 387–390. 4 indexed citations

16.

Maggio, Valerio. (2013). Improving Software Maintenance using Unsupervised Machine Learning techniques. Università degli Studi di Napoli Federico II. 1 indexed citations

17.

Corazza, Anna, Sergio Di Martino, & Valerio Maggio. (2012). LINSEN: An efficient approach to split identifiers and expand abbreviations. 233–242. 44 indexed citations

18.

Corazza, Anna, Sergio Di Martino, Valerio Maggio, & Giuseppe Scanniello. (2011). Investigating the use of lexical information for software system clustering. CINECA IRIS Institutional Research Information System (University of Basilicata). 35–44. 71 indexed citations

19.

Corazza, Anna, Sergio Di Martino, Valerio Maggio, & Giuseppe Scanniello. (2010). A Tree Kernel based approach for clone detection. CINECA IRIS Institutional Research Information System (University of Basilicata). 1–5. 14 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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