Giovanni Vaia
- Management Information Systems top 5%
- Strategy and Management top 10%
- Information Systems and Management top 5%
- Management Science and Operations Research top 10%
- Marketing top 10%
- Co-authors
- William DeLoneNoorUl AinMehwish WaheedErran CarmelIlan OshriMarco BisognoIlaria MancusoUmberto Panniello
- Topics
- Big Data and Business Intelligence (6 papers)Technology Adoption and User Behaviour (4 papers)Information Technology Governance and Strategy (3 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Giovanni Vaia
15 papers receiving 309 citations
Peers
Comparison fields: 5 of 55
- Management Information Systems 186
- Strategy and Management 108
- Information Systems and Management 70
- Management Science and Operations Research 57
- Marketing 45
Countries citing papers authored by Giovanni Vaia
This map shows the geographic impact of Giovanni Vaia'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 Giovanni Vaia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Vaia more than expected).
Fields of papers citing papers by Giovanni Vaia
This network shows the impact of papers produced by Giovanni Vaia. 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 Giovanni Vaia. The network helps show where Giovanni Vaia may publish in the future.
Co-authorship network of co-authors of Giovanni Vaia
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Vaia. A scholar is included among the top collaborators of Giovanni Vaia 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 Giovanni Vaia. Giovanni Vaia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 30 | |
| 7 | 0 | |
| 8 | 202 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 16 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | Vehicle Telematics at an Italian Insurer: New Auto Insurance Products and a New Industry Ecosystem | 23 |
| 17 | 1 |
About Giovanni Vaia
Giovanni Vaia is a scholar working on Management Information Systems, Information Systems and Management and Business and International Management, having authored 17 papers that have together received 332 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (6 papers), Technology Adoption and User Behaviour (4 papers) and Information Technology Governance and Strategy (3 papers). The work is most often cited by research in Management Information Systems (186 citations), Information Systems and Management (70 citations) and Strategy and Management (108 citations). Giovanni Vaia has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include William DeLone, NoorUl Ain, Mehwish Waheed, Erran Carmel, Ilan Oshri, Marco Bisogno, Ilaria Mancuso, Umberto Panniello, Antonio Messeni Petruzzelli and Aurelio Tommasetti. Their work appears in journals such as Decision Support Systems, Journal of the Association for Information Systems and Technovation.
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.