Stefano Za

38 papers receiving 504 citations

Peers

Stefano Za
Comparison fields: 5 of 75
  • Information Systems and Management 85
  • Communication 75
  • Marketing 75
  • Management of Technology and Innovation 56
  • Management Information Systems 61
Replace Farzana Parveen Tajudeen with:
Farzana Parveen Tajudeen Malaysia
Rocco Agrifoglio Italy
Mona Ashok United Kingdom
Concetta Metallo Italy
Fintan Clear United Kingdom
Ying‐Jiun Hsieh Taiwan
Rose Alinda Alias Malaysia
de Bert Brock Netherlands
Mark E. McMurtrey United States
Uri Gal Australia
Stefano Za relative to Farzana Parveen Tajudeen Malaysia Farzana Parveen Tajudeen's profile →
Citations per field
00.5×
Farzana Parveen Tajudeen · 1×
Citations per year

Countries citing papers authored by Stefano Za

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Za

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefano Za, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stefano Za Line = papers co-authored together Stefano Za links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201689
2 202068
3 202051
4 201942
5 200539
6 201331
7 201427
8 202321
9 200521
10 201915
11 201914
12 201213
13 201412
14 201712
15 201711
16 20188
17 20207
18
Exploring foundations for using simulations in IS research.
20136
19 20236
20 20145

About Stefano Za

Stefano Za is a scholar working on Sociology and Political Science, Marketing, Communication, Strategy and Management and Management Information Systems, having authored 43 papers that have together received 545 indexed citations. Recurring topics across this work include Knowledge Management and Sharing (6 papers), Technology Adoption and User Behaviour (6 papers), Digital Marketing and Social Media (5 papers), Digital Transformation in Industry (5 papers), Big Data and Business Intelligence (4 papers), Innovation and Knowledge Management (4 papers), E-Government and Public Services (3 papers) and Service and Product Innovation (3 papers). The work is most often cited by research in Information Systems and Management (85 citations), Communication (75 citations), Marketing (75 citations), Management of Technology and Innovation (56 citations) and Management Information Systems (61 citations). Stefano Za has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Eusébio Scornavacca, Kévin Carillo, Paolo Spagnoletti, Rita Lamboglia, Alessandra Lazazzara, Alessio Maria Braccini, Massimo Bernaschi, Antonio Pescapè, Filippo Cacace and Øystein Sæbø. Their work appears in journals such as Journal of the Association for Information Systems, Information & Management, International Journal of Innovation and Learning, Journal of Information Technology and International Journal of Electronic Commerce.

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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