Davide Proserpio

1.2k citations
10 papers · 749 indexed · 1 hit paper · h-index 6
Topics
Digital Marketing and Social Media (5 papers)Spam and Phishing Detection (3 papers)Sharing Economy and Platforms (2 papers)
Partner nations
United StatesCanadaIndia

In The Last Decade

Davide Proserpio

10 papers receiving 719 citations

Hit Papers

Online Reputation Management: Estimating the Impact of Ma...2017202620202023201750100150200250

Peers

Davide Proserpio
Comparison fields: 5 of 67
  • Sociology and Political Science 505
  • Marketing 480
  • Automotive Engineering 168
  • Organizational Behavior and Human Resource Management 118
  • Information Systems and Management 94
Replace Roberta Minazzi with:
Roberta Minazzi Italy
Christian Nedu Osakwe South Africa
Andrey Fradkin United States
Seunghyun Kim United States
Mari Juntunen Finland
Victor Henning Germany
Thilini Chathurika Gamage Sri Lanka
Hung-Chang Chiu Taiwan
Yi‐Chun Ho United States
Raja Shekhar Bellamkonda India
Davide Proserpio relative to Roberta Minazzi Italy Roberta Minazzi's profile →
Citations per field
00.5×3.8×
Roberta Minazzi · 1×
Citations per year

Countries citing papers authored by Davide Proserpio

Since Specialization
Citations

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

Fields of papers citing papers by Davide Proserpio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Proserpio

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 1
3 2
4 12
5
Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviewsbreakdown →
267
6 15
7 4
8 7
9 97
10 343

About Davide Proserpio

Davide Proserpio is a scholar working on Marketing, Sociology and Political Science and Automotive Engineering, having authored 10 papers that have together received 749 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (5 papers), Spam and Phishing Detection (3 papers) and Sharing Economy and Platforms (2 papers). The work is most often cited by research in Marketing (480 citations), Automotive Engineering (168 citations) and Information Systems and Management (94 citations). Davide Proserpio has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Georgios Zervas, John W. Byers, Scott Counts, Apurv Jain, Gerard J. Tellis, Kristin Diehl, Douglas W. Yu, Sherry He, Brett Hollenbeck and Ken Lau. Their work appears in journals such as Communications of the ACM, Marketing Science and International Journal of Research in Marketing.

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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