Luca Tangi

749 total citations · 1 hit paper
17 papers, 359 citations indexed

About

Luca Tangi is a scholar working on Political Science and International Relations, Management Information Systems and Sociology and Political Science. According to data from OpenAlex, Luca Tangi has authored 17 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Political Science and International Relations, 5 papers in Management Information Systems and 5 papers in Sociology and Political Science. Recurrent topics in Luca Tangi's work include E-Government and Public Services (9 papers), Smart Cities and Technologies (5 papers) and Blockchain Technology Applications and Security (4 papers). Luca Tangi is often cited by papers focused on E-Government and Public Services (9 papers), Smart Cities and Technologies (5 papers) and Blockchain Technology Applications and Security (4 papers). Luca Tangi collaborates with scholars based in Italy, Spain and Netherlands. Luca Tangi's co-authors include Michele Benedetti, Giuliano Noci, Marijn Janssen, Luca Gastaldi, Colin van Noordt, Rony Medaglia, Claudio Russo, Mara Soncin, Tommaso Agasisti and Pier Paolo Patrucco and has published in prestigious journals such as International Journal of Information Management, Government Information Quarterly and Public Administration.

In The Last Decade

Luca Tangi

17 papers receiving 333 citations

Hit Papers

align trajectories

What are hit papers?

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.

Digital government transformation: A structural equation modelling analysis of driving and impeding factors

2021 129 citations Luca Tangi, Marijn Janssen et al. International Journal of Information Management profile →

Peers

Luca Tangi

PSIR

MIS

SPS

Michele Benedetti Italy

Colin van Noordt Estonia

Wilhelm Müller Germany

Adalmir de Oliveira Gomes Brazil

Cindy Schaefer Germany

Ali A. Guenduez Switzerland

Fernando Filgueiras Brazil

Miriam Lips New Zealand

Federico Iannacci United Kingdom

Maximilian Heimstädt Germany

Michele Benedetti Italy

Luca Tangi

101 ×0.9

PSIR

61 ×0.8

MIS

65 ×0.9

SPS

37 ×0.7

35 ×0.7

Citations per year, relative to Luca Tangi Luca Tangi (= 1×) peers Michele Benedetti

Countries citing papers authored by Luca Tangi

Since Specialization

Citations

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

Fields of papers citing papers by Luca Tangi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Tangi

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

All Works

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17 of 17 papers shown

Tangi, Luca, et al.. (2025). AI-augmented government transformation: Organisational transformation and the sociotechnical implications of artificial intelligence in public administrations. Government Information Quarterly. 42(3). 102055–102055. 4 indexed citations

Tangi, Luca, et al.. (2025). Exploring the Challenges for Artificial Intelligence Adoption and Implementation in EU Public Administrations. Results from a Case Study Analysis. Digital Government Research and Practice. 7(1). 1–22. 1 indexed citations

Patrucco, Pier Paolo, et al.. (2025). Managing public sector innovation for a better society: the case of public procurement of innovation. Production Planning & Control. 1–19. 1 indexed citations

Tangi, Luca, et al.. (2025). Understanding the Adoption of Artificial Intelligence in Local Government Decision‐Making: The Influence of Institutional Pressures and Managerial Perceptions. Public Administration. 1 indexed citations

Tangi, Luca, et al.. (2024). An overview of the expected public values arising from blockchain adoption in the European public sector. International Journal of Public Sector Management. 38(1). 53–76. 3 indexed citations

Tangi, Luca, et al.. (2023). The challenges of AI implementation in the public sector. An in-depth case studies analysis. Lirias (KU Leuven). 414–422. 15 indexed citations

Tangi, Luca, et al.. (2023). Exploring the factors, affordances and constraints outlining the implementation of Artificial Intelligence in public sector organizations. International Journal of Information Management. 73. 102686–102686. 45 indexed citations

Noordt, Colin van, Rony Medaglia, & Luca Tangi. (2023). Policy initiatives for Artificial Intelligence-enabled government: An analysis of national strategies in Europe. Public Policy and Administration. 40(2). 215–253. 18 indexed citations

Noordt, Colin van & Luca Tangi. (2023). The dynamics of AI capability and its influence on public value creation of AI within public administration. Government Information Quarterly. 40(4). 101860–101860. 38 indexed citations

10.

Medaglia, Rony & Luca Tangi. (2022). The adoption of Artificial Intelligence in the public sector in Europe: drivers, features, and impacts. CBS Research Portal (Copenhagen Business School). 10–18. 7 indexed citations

11.

Tangi, Luca, et al.. (2022). Assessing the effect of organisational factors and ICT expenditures on e-maturity: empirical results in Italian municipalities. Local Government Studies. 49(6). 1333–1358. 5 indexed citations

12.

Tangi, Luca, et al.. (2022). AI as an organizational agent to nurture: effectively introducing chatbots in public entities. Public Management Review. 25(11). 2135–2165. 39 indexed citations

13.

Gastaldi, Luca, et al.. (2021). Blockchain applications within the public sector: evidence from an international census. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 479–488. 5 indexed citations

14.

Tangi, Luca, Mara Soncin, Tommaso Agasisti, & Giuliano Noci. (2021). Exploring e-maturity in Italian local governments: empirical results from a three-step latent class analysis. International Review of Administrative Sciences. 89(1). 76–94. 5 indexed citations

15.

Tangi, Luca, et al.. (2021). The spread of Artificial Intelligence in the public sector: a worldwide overview. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–9. 9 indexed citations

16.

Tangi, Luca, Marijn Janssen, Michele Benedetti, & Giuliano Noci. (2021). Digital government transformation: A structural equation modelling analysis of driving and impeding factors. International Journal of Information Management. 60. 102356–102356. 129 indexed citations breakdown →

17.

Tangi, Luca, Michele Benedetti, Luca Gastaldi, Giuliano Noci, & Claudio Russo. (2020). Mandatory provisioning of digital public services as a feasible service delivery strategy: Evidence from Italian local governments. Government Information Quarterly. 38(1). 101543–101543. 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.

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