Maurizio Naldi
- Computer Networks and Communications top 5%
- Economics and Econometrics top 5%
- Information Systems top 2%
- Management Science and Operations Research top 2%
- Strategy and Management top 5%
- Co-authors
- Loretta MastroeniRobert J. KauffmanMarta FlaminiDan J. KimKarl R. LangKai LiPierluigi VellucciVicent Pla
- Topics
- Auction Theory and Applications (20 papers)Digital Platforms and Economics (19 papers)Consumer Market Behavior and Pricing (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
In The Last Decade
Maurizio Naldi
137 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Networks and Communications 331
- Economics and Econometrics 328
- Information Systems 281
- Management Science and Operations Research 243
- Strategy and Management 230
Countries citing papers authored by Maurizio Naldi
This map shows the geographic impact of Maurizio Naldi'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 Maurizio Naldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Naldi more than expected).
Fields of papers citing papers by Maurizio Naldi
This network shows the impact of papers produced by Maurizio Naldi. 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 Maurizio Naldi. The network helps show where Maurizio Naldi may publish in the future.
Co-authorship network of co-authors of Maurizio Naldi
This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Naldi. A scholar is included among the top collaborators of Maurizio Naldi 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 Maurizio Naldi. Maurizio Naldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | How should we understand the digital economy in Asia? Critical assessment and research agendabreakdown → | 254 |
| 14 | Calibration of an agent-based model for opinion formation through a retweet social network. | 0 |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 12 | |
| 19 | 8 | |
| 20 | 26 |
About Maurizio Naldi
Maurizio Naldi is a scholar working on Management Science and Operations Research, Management Information Systems and Marketing, having authored 155 papers that have together received 1.5k indexed citations. Recurring topics across this work include Auction Theory and Applications (20 papers), Digital Platforms and Economics (19 papers) and Consumer Market Behavior and Pricing (18 papers). The work is most often cited by research in Marketing (195 citations), Management Science and Operations Research (243 citations) and Management Information Systems (145 citations). Maurizio Naldi has collaborated with scholars based in Italy, Spain and Mexico. Frequent co-authors include Loretta Mastroeni, Robert J. Kauffman, Marta Flamini, Dan J. Kim, Karl R. Lang, Kai Li, Pierluigi Vellucci, Vicent Pla, Luis Guijarro and Andrea Fronzetti Colladon. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.