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2026
Journal article
Open Access
Charting the landscape of Italian Diamond Open Access publishing
Angioni Simone, Baglioni Miriam, Bardi Alessia, Manghi Paolo, Mannocci Andrea, Pavone Gina
Diamond Open Access (DOA) is a non-commercial model of scholarly publishing that removes financial barriers for authors and readers. While international studies have outlined the global uptake of DOA, this paper investigates the presence and characteristics of the DOA landscape in Italy. We conducted a quantitative analysis on the 168 Italian journals classified as Diamond by EZB, and we studied their publishing volume, disciplinary distribution and citation impact by integrating information from the following open resources: DOAJ, OpenAIRE, ROAD, SCImago Journal Rank, and the ANVUR classification used in the Italian Research Assessment Framework (VQR). Key findings include the significant growth of DOA journals, particularly in the social sciences and humanities, as well as the high level of international citations, indicating strong global relevance. The study also highlights challenges such as the need for better indexing and comprehensive data to fully capture the DOA landscape.Source: QUANTITATIVE SCIENCE STUDIES
DOI: 10.1162/qss.a.466
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Angioni Simone, Baglioni Miriam, Bardi Alessia, Manghi Paolo, Mannocci Andrea, Pavone Gina
Diamond Open Access (DOA) is a non-commercial model of scholarly publishing that removes financial barriers for authors and readers. While international studies have outlined the global uptake of DOA, this paper investigates the presence and characteristics of the DOA landscape in Italy. We conducted a quantitative analysis on the 168 Italian journals classified as Diamond by EZB, and we studied their publishing volume, disciplinary distribution and citation impact by integrating information from the following open resources: DOAJ, OpenAIRE, ROAD, SCImago Journal Rank, and the ANVUR classification used in the Italian Research Assessment Framework (VQR). Key findings include the significant growth of DOA journals, particularly in the social sciences and humanities, as well as the high level of international citations, indicating strong global relevance. The study also highlights challenges such as the need for better indexing and comprehensive data to fully capture the DOA landscape.Source: QUANTITATIVE SCIENCE STUDIES
DOI: 10.1162/qss.a.466
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| CNR IRIS | CNR IRIS 
2026
Journal article
Open Access
Does diversity of expertise drive citation impact? Evidence from Computer Science
Salatino Angelo, Osborne Francesco, Recupero Reforgiato Diego, Angioni Simone, Motta Enrico
High-quality scientific research plays a pivotal role in advancing society, stimulating economic growth, protecting the environment, and driving technological innovation. Understanding the key factors that lead to impactful research is thus crucial as it can steer the development of more effective policies to enhance the research enterprise. Extensive literature emphasises that the composition of a research team is vital for generating innovative and impactful scientific work. Many studies have focused on how team diversity, including aspects like ethnicity, gender, and international background, affects research outcomes. These types of diversities often correlate positively with the impact of research. In this paper, we investigate a less-explored dimension of diversity: the diversity of authors’ areas of expertise. This aspect has received limited attention, primarily due to the challenges involved in defining and measuring it. We present new AI-driven methods to quantify this diversity of expertise and conduct an extensive analysis of over 944,000 Computer Science papers. Specifically, this study investigates the relationship between the authors’ diversity of expertise and the number of citations their paper receives within the first five years. For each paper, we modelled the expertise of each individual author and then quantified the overall diversity within the author team. We then performed a statistical analysis that revealed a significant positive correlation between two diversity metrics and the number of citations received. This suggests that, in the field of Computer Science, diversity of expertise is a key driver of high-impact research.Source: SCIENTOMETRICS, vol. 131 (issue 2), pp. 1119-1146
DOI: 10.1007/s11192-026-05560-x
Metrics:
Salatino Angelo, Osborne Francesco, Recupero Reforgiato Diego, Angioni Simone, Motta Enrico
High-quality scientific research plays a pivotal role in advancing society, stimulating economic growth, protecting the environment, and driving technological innovation. Understanding the key factors that lead to impactful research is thus crucial as it can steer the development of more effective policies to enhance the research enterprise. Extensive literature emphasises that the composition of a research team is vital for generating innovative and impactful scientific work. Many studies have focused on how team diversity, including aspects like ethnicity, gender, and international background, affects research outcomes. These types of diversities often correlate positively with the impact of research. In this paper, we investigate a less-explored dimension of diversity: the diversity of authors’ areas of expertise. This aspect has received limited attention, primarily due to the challenges involved in defining and measuring it. We present new AI-driven methods to quantify this diversity of expertise and conduct an extensive analysis of over 944,000 Computer Science papers. Specifically, this study investigates the relationship between the authors’ diversity of expertise and the number of citations their paper receives within the first five years. For each paper, we modelled the expertise of each individual author and then quantified the overall diversity within the author team. We then performed a statistical analysis that revealed a significant positive correlation between two diversity metrics and the number of citations received. This suggests that, in the field of Computer Science, diversity of expertise is a key driver of high-impact research.Source: SCIENTOMETRICS, vol. 131 (issue 2), pp. 1119-1146
DOI: 10.1007/s11192-026-05560-x
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2025
Other
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InfraScience research activity report 2024
Angioni S., Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim Ahmed, La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Oliviero A., Pagano P., Panichi G., Teresa M. T., Pavone G., Peccerillo B., Piccioli T., Procaccini M., Straccia U., Vannini G. L., Versienti L.
InfraScience is a research group within the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR), based in Pisa. This activity report outlines the group's research achievements and initiatives throughout 2024. InfraScience focused its efforts on key challenges in the areas of Data Infrastructures, e-Science, and Intelligent Systems, maintaining a strong synergy between research and development and a firm commitment to open science principles. In 2024, the group played a leading role in the development and evolution of two major Open Science infrastructures: D4Science and OpenAIRE. InfraScience researchers contributed significantly to the scientific community through the publication of peer-reviewed papers, active participation in EU-funded research projects, organization of international conferences and training activities, and engagement in various working groups and task forces. This report highlights these contributions and underscores the group's ongoing dedication to advancing open, collaborative, and impactful science.DOI: 10.32079/isti-ar-2025/001
Metrics:
Angioni S., Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim Ahmed, La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Oliviero A., Pagano P., Panichi G., Teresa M. T., Pavone G., Peccerillo B., Piccioli T., Procaccini M., Straccia U., Vannini G. L., Versienti L.
InfraScience is a research group within the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR), based in Pisa. This activity report outlines the group's research achievements and initiatives throughout 2024. InfraScience focused its efforts on key challenges in the areas of Data Infrastructures, e-Science, and Intelligent Systems, maintaining a strong synergy between research and development and a firm commitment to open science principles. In 2024, the group played a leading role in the development and evolution of two major Open Science infrastructures: D4Science and OpenAIRE. InfraScience researchers contributed significantly to the scientific community through the publication of peer-reviewed papers, active participation in EU-funded research projects, organization of international conferences and training activities, and engagement in various working groups and task forces. This report highlights these contributions and underscores the group's ongoing dedication to advancing open, collaborative, and impactful science.DOI: 10.32079/isti-ar-2025/001
Metrics: