Umberto Panniello

3.2k total citations · 1 hit paper
67 papers, 2.2k citations indexed

About

Umberto Panniello is a scholar working on Marketing, Information Systems and Sociology and Political Science. According to data from OpenAlex, Umberto Panniello has authored 67 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Marketing, 18 papers in Information Systems and 15 papers in Sociology and Political Science. Recurrent topics in Umberto Panniello's work include Recommender Systems and Techniques (15 papers), Digital Marketing and Social Media (14 papers) and Big Data and Business Intelligence (11 papers). Umberto Panniello is often cited by papers focused on Recommender Systems and Techniques (15 papers), Digital Marketing and Social Media (14 papers) and Big Data and Business Intelligence (11 papers). Umberto Panniello collaborates with scholars based in Italy, United States and Mexico. Umberto Panniello's co-authors include Antonio Messeni Petruzzelli, Michele Gorgoglione, Alexander Tuzhilin, Lorenzo Ardito, Achille Claudio Garavelli, Ilaria Mancuso, Paolo Roma, Angelo Natalicchio, Alberto Di Minin and Pasquale Del Vecchio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Business Research.

In The Last Decade

Umberto Panniello

63 papers receiving 2.1k citations

Hit Papers

Towards Industry 4.0 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Umberto Panniello Italy 24 609 598 579 535 403 67 2.2k
Markus Böhm Germany 20 656 1.1× 492 0.8× 977 1.7× 522 1.0× 431 1.1× 124 2.5k
George M. Giaglis Greece 27 456 0.7× 769 1.3× 557 1.0× 688 1.3× 613 1.5× 121 2.6k
George Lekakos Greece 21 435 0.7× 476 0.8× 692 1.2× 937 1.8× 621 1.5× 49 2.6k
Rainer Alt Germany 26 706 1.2× 638 1.1× 836 1.4× 1.0k 1.9× 662 1.6× 223 2.7k
Ji‐Ye Mao China 20 293 0.5× 405 0.7× 759 1.3× 545 1.0× 607 1.5× 67 3.1k
Claudia Loebbecke Germany 20 353 0.6× 335 0.6× 923 1.6× 830 1.6× 471 1.2× 138 2.5k
Nicholas Berente United States 24 338 0.6× 312 0.5× 758 1.3× 651 1.2× 670 1.7× 121 2.5k
Maximilian Röglinger Germany 28 355 0.6× 498 0.8× 669 1.2× 1.4k 2.7× 287 0.7× 129 2.8k
Vijay Mookerjee United States 29 447 0.7× 785 1.3× 538 0.9× 541 1.0× 331 0.8× 124 2.2k
Frederick J. Riggins United States 22 358 0.6× 409 0.7× 819 1.4× 926 1.7× 415 1.0× 48 2.8k

Countries citing papers authored by Umberto Panniello

Since Specialization
Citations

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

Fields of papers citing papers by Umberto Panniello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umberto Panniello

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

All Works

20 of 20 papers shown
1.
Mancuso, Ilaria, Antonio Messeni Petruzzelli, Umberto Panniello, & Giovanni Vaia. (2025). The bright and dark sides of AI innovation for sustainable development: Understanding the paradoxical tension between value creation and value destruction. Technovation. 143. 103232–103232. 8 indexed citations
2.
Gorgoglione, Michele, et al.. (2025). The Influence of the Perceived Hedonic vs. Utilitarian Product Type on Consumers’ Brand Engagement on Social TV. Journal of Business Research. 196. 115257–115257. 1 indexed citations
4.
Mancuso, Ilaria, Antonio Messeni Petruzzelli, Umberto Panniello, & Giovanni Vaia. (2024). Business model innovation in the banking sector: How digital technologies transform innovation drivers in value mechanisms innovations. Journal of Engineering and Technology Management. 75. 101858–101858. 4 indexed citations
5.
Mancuso, Ilaria, Antonio Messeni Petruzzelli, Umberto Panniello, Federico Frattini, & Manlio Del Giudice. (2024). Nurturing strategic agility through corporate venturing advisory: An exploratory analysis. Industrial Marketing Management. 121. 1–15. 8 indexed citations
6.
Lamonaca, Emilia, Mariangela Caroprese, Maria Giovanna Ciliberti, et al.. (2023). A framework towards resilient Mediterranean eco-solutions for small-scale farming systems. Agriculture & Food Security. 11(1). 7 indexed citations
7.
Roma, Paolo, et al.. (2023). Crowdfunding performance, market performance, and the moderating roles of product innovativeness and experts' judgment: Evidence from the movie industry. Journal of Product Innovation Management. 40(3). 297–339. 13 indexed citations
8.
Petruzzelli, Antonio Messeni, et al.. (2023). Source of funding and specialized competences: the impact on the innovative performance of start-ups. Journal of Knowledge Management. 28(2). 564–589. 5 indexed citations
9.
Natalicchio, Angelo, et al.. (2023). Failure is an option: How failure can lead to disruptive innovations. Technovation. 129. 102897–102897. 22 indexed citations
10.
Mancuso, Ilaria, et al.. (2023). Innovative Business Models for the Future Smart City. 3(1). 1–12. 3 indexed citations
11.
Carbonara, Nunzia, et al.. (2022). Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making. Technovation. 120. 102482–102482. 73 indexed citations
12.
Natalicchio, Angelo, et al.. (2022). Business Model Innovation between the embryonic and growth stages of industry lifecycle. Technovation. 117. 102592–102592. 30 indexed citations
13.
Bibi, Sughra, et al.. (2021). Do hotel employees really care for corporate social responsibility (CSR): a happiness approach to employee innovativeness. Current Issues in Tourism. 25(4). 541–558. 71 indexed citations
14.
Panniello, Umberto, et al.. (2021). Risk Management in Digital Advertising: An Analysis from the Advertisers’ Media Management Perspective. The International Journal on Media Management. 23(1-2). 29–57. 8 indexed citations
15.
Presenza, Angelo, Umberto Panniello, & Antonio Messeni Petruzzelli. (2020). Tourism multi‐sided platforms and the social innovation trajectory: The case of Airbnb. Creativity and Innovation Management. 30(1). 47–62. 27 indexed citations
16.
Panniello, Umberto, Michele Gorgoglione, & Alexander Tuzhilin. (2016). Research Note—In CARSs We Trust: How Context-Aware Recommendations Affect Customers’ Trust and Other Business Performance Measures of Recommender Systems. Information Systems Research. 27(1). 182–196. 68 indexed citations
17.
Panniello, Umberto. (2015). DEVELOPING A PRICE-SENSITIVE RECOMMENDER SYSTEM TO IMPROVE ACCURACY AND BUSINESS PERFORMANCE OF ECOMMERCE APPLICATIONS. International Journal of Electronic Commerce Studies. 6(1). 18 indexed citations
18.
Panniello, Umberto. (2014). How to use recommender systems in e-business domains. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Gorgoglione, Michele & Umberto Panniello. (2009). Including Context in a Transactional Recommender System Using a Pre-filtering Approach: Two Real E-commerce Applications. 667–672. 11 indexed citations
20.
Panniello, Umberto, et al.. (2009). Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. 265–268. 120 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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