Giuseppe Labianca
- Sociology and Political Science top 0.2%
- Organizational Behavior and Human Resource Management top 0.5%
- Communication top 0.2%
- Strategy and Management top 1%
- Statistical and Nonlinear Physics top 0.5%
- Co-authors
- Daniel J. BrassStephen P. BorgattiAjay MehraGerald C. KaneBarbara GrayHongseok OhMyung-Ho ChungTravis Grosser
- Topics
- Social Capital and Networks (14 papers)Management and Organizational Studies (12 papers)Job Satisfaction and Organizational Behavior (11 papers)
- Cited by
- CommunicationOrganizational Behavior and Human Resource ManagementStatistical and Nonlinear Physics
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Giuseppe Labianca
57 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Sociology and Political Science 2.9k
- Organizational Behavior and Human Resource Management 1.5k
- Communication 1.3k
- Strategy and Management 1.2k
- Statistical and Nonlinear Physics 1.1k
Countries citing papers authored by Giuseppe Labianca
This map shows the geographic impact of Giuseppe Labianca'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 Giuseppe Labianca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Labianca more than expected).
Fields of papers citing papers by Giuseppe Labianca
This network shows the impact of papers produced by Giuseppe Labianca. 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 Giuseppe Labianca. The network helps show where Giuseppe Labianca may publish in the future.
Co-authorship network of co-authors of Giuseppe Labianca
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Labianca. A scholar is included among the top collaborators of Giuseppe Labianca 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 Giuseppe Labianca. Giuseppe Labianca 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 | 11 | |
| 3 | 20 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 21 | |
| 7 | 73 | |
| 8 | 45 | |
| 9 | 53 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | What’s Different about Social Media Networks? A Framework and Research Agenda1breakdown → | 619 |
| 13 | 88 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 70 | |
| 18 | 250 | |
| 19 | 3 | |
| 20 | 255 |
About Giuseppe Labianca
Giuseppe Labianca is a scholar working on Communication, Organizational Behavior and Human Resource Management and Statistical and Nonlinear Physics, having authored 62 papers that have together received 7.3k indexed citations. Recurring topics across this work include Social Capital and Networks (14 papers), Management and Organizational Studies (12 papers) and Job Satisfaction and Organizational Behavior (11 papers). The work is most often cited by research in Communication (1.3k citations), Organizational Behavior and Human Resource Management (1.5k citations) and Statistical and Nonlinear Physics (1.1k citations). Giuseppe Labianca has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Daniel J. Brass, Stephen P. Borgatti, Ajay Mehra, Gerald C. Kane, Barbara Gray, Hongseok Oh, Myung-Ho Chung, Travis Grosser, Maryam Alavi and Virginie Lopez‐Kidwell. Their work appears in journals such as Science, Academy of Management Review and Academy of Management Journal.
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.