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.
AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings
2020295 citationsGianluca Misuraca et al.Telecommunications Policyprofile →
Artificial intelligence for the public sector: results of landscaping the use of AI in government across the European Union
2022144 citationsColin van Noordt, Gianluca Misuracaprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Gianluca Misuraca
Since
Specialization
Citations
This map shows the geographic impact of Gianluca Misuraca'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 Gianluca Misuraca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Misuraca more than expected).
Fields of papers citing papers by Gianluca Misuraca
This network shows the impact of papers produced by Gianluca Misuraca. 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 Gianluca Misuraca. The network helps show where Gianluca Misuraca may publish in the future.
Co-authorship network of co-authors of Gianluca Misuraca
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Misuraca.
A scholar is included among the top collaborators of Gianluca Misuraca 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 Gianluca Misuraca. Gianluca Misuraca is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Misuraca, Gianluca, et al.. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications Policy. 44(6). 101976–101976.295 indexed citations breakdown →
5.
Veenstra, Anne Fleur van, et al.. (2020). Assessment of the Use of Artificial Intelligence to Support Public Services: Methodology and Roadmap.. 359–361.1 indexed citations
Castelnovo, Walter, Gianluca Misuraca, & Alberto Savoldelli. (2015). Smart Cities Governance. Social Science Computer Review. 34(6). 724–739.192 indexed citations
13.
Misuraca, Gianluca & Gianluigi Viscusi. (2014). Is Open Data Enough?. International Journal of Electronic Government Research. 10(1). 18–34.22 indexed citations
Savoldelli, Alberto, Gianluca Misuraca, & Cristiano Codagnone. (2013). Measuring the public value of e-Government: the eGEP2.0 model. Joint Research Centre (European Commission). 11(2).21 indexed citations
16.
Misuraca, Gianluca, et al.. (2011). A Multi-Level Framework for ICT-Enabled Governance: Assessing the Non-Technical Dimensions of "Government Openness". BOA (University of Milano-Bicocca). 9(2). 152–165.12 indexed citations
Feijóo, Claudio, Corina Pascu, Gianluca Misuraca, & Wainer Lusoli. (2009). The Next Paradigm Shift in the Mobile Ecosystem: Mobile Social Computing and the Increasing Relevance of Users. SSRN Electronic Journal. 1(75). 57–77.13 indexed citations
19.
Misuraca, Gianluca & Gianluigi Viscusi. (2009). Roadmapping e-Governance for development: strategic and methodological issues. Dialnet (Universidad de la Rioja). 115–126.1 indexed citations
20.
Finger, Matthias, Pierre Rossel, & Gianluca Misuraca. (2007). “Mobile” e-government options: between technology-driven and user centric. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4(2). 79–86.34 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.