Umberto Panniello
- Marketing top 1%
- Information Systems top 1%
- Strategy and Management top 2%
- Management Information Systems top 1%
- Sociology and Political Science top 5%
- Co-authors
- Antonio Messeni PetruzzelliMichele GorgoglioneAlexander TuzhilinLorenzo ArditoAchille Claudio GaravelliIlaria MancusoPaolo RomaAngelo Natalicchio
- Topics
- Recommender Systems and Techniques (15 papers)Digital Marketing and Social Media (14 papers)Big Data and Business Intelligence (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionJournal of Business Research
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
Umberto Panniello
63 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Marketing 609
- Information Systems 598
- Strategy and Management 579
- Management Information Systems 535
- Sociology and Political Science 403
Countries citing papers authored by Umberto Panniello
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 64 | |
| 13 | 8 | |
| 14 | 71 | |
| 15 | 27 | |
| 16 | 182 | |
| 17 | 68 | |
| 18 | How to use recommender systems in e-business domains | 2 |
| 19 | 11 | |
| 20 | 120 |
About Umberto Panniello
Umberto Panniello is a scholar working on Marketing, Management Information Systems and Management Science and Operations Research, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (15 papers), Digital Marketing and Social Media (14 papers) and Big Data and Business Intelligence (11 papers). The work is most often cited by research in Marketing (609 citations), Management Information Systems (535 citations) and Business and International Management (78 citations). Umberto Panniello has collaborated with scholars based in Italy, United States and Mexico. Frequent 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 Beatrice D’Ippolito. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Business Research.
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.