Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Human-Centered and Sustainable Artificial Intelligence in Industry 5.0: Challenges and Perspectives
202466 citationsBarbara Martini, Denise Bellisario et al.Sustainabilityprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Barbara Martini
Since
Specialization
Citations
This map shows the geographic impact of Barbara Martini'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 Barbara Martini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Martini more than expected).
This network shows the impact of papers produced by Barbara Martini. 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 Barbara Martini. The network helps show where Barbara Martini may publish in the future.
Co-authorship network of co-authors of Barbara Martini
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Martini.
A scholar is included among the top collaborators of Barbara Martini 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 Barbara Martini. Barbara Martini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Martini, Barbara, et al.. (2024). Human-Centered and Sustainable Artificial Intelligence in Industry 5.0: Challenges and Perspectives. Sustainability. 16(13). 5448–5448.66 indexed citations breakdown →
Marra, Antonio, Fabio Martinelli, Paolo Mori, et al.. (2019). Enhancing Security in ETSI Open Source MANO with Usage Control Capability. Immunotechnology. 25–29.3 indexed citations
Adami, Davide, Barbara Martini, M. Gharbaoui, et al.. (2013). Effective resource control strategies using OpenFlow in cloud data center. CINECA IRIS Institutial research information system (University of Pisa). 568–574.22 indexed citations
17.
Gharbaoui, M., Francesco Paolucci, A. Giorgetti, P. Castoldi, & Barbara Martini. (2013). Guaranteeing confidentiality in multi-domain networks: The PCE Anomaly Detector (PAD). CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 485–491.1 indexed citations
Campi, Aldo, Walter Cerroni, Giovanni Emanuele Corazza, et al.. (2009). SIP-based Service Architecture for Application- aware Optical Network. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 367–374.1 indexed citations
20.
Qin, Yixuan, Georgios Zervas, Barbara Martini, et al.. (2009). OFC: 2009 CONFERENCE ON OPTICAL FIBER COMMUNICATION, VOLS 1-5. Optical Fiber Communication Conference.1 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.