Phil Longstreet
- Sociology and Political Science top 5%
- Information Systems and Management top 5%
- Education top 10%
- Communication top 10%
- Social Psychology
- Co-authors
- Stoney BrooksThomas A. HemphillSyagnik BanerjeeChristopher B. CaliffEster GonzalezSaonee SarkerDavid W. WilsonEleanor T. Loiacono
- Topics
- Technology Adoption and User Behaviour (5 papers)Digital Marketing and Social Media (5 papers)Impact of Technology on Adolescents (5 papers)
- Journals
- Technological Forecasting and Social ChangeInformation & ManagementJournal of the Association for Information Systems
- Partner nations
- United StatesDenmark
In The Last Decade
Phil Longstreet
15 papers receiving 510 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Sociology and Political Science 344
- Information Systems and Management 105
- Education 81
- Communication 69
- Social Psychology 66
Countries citing papers authored by Phil Longstreet
This map shows the geographic impact of Phil Longstreet'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 Phil Longstreet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Longstreet more than expected).
Fields of papers citing papers by Phil Longstreet
This network shows the impact of papers produced by Phil Longstreet. 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 Phil Longstreet. The network helps show where Phil Longstreet may publish in the future.
Co-authorship network of co-authors of Phil Longstreet
This figure shows the co-authorship network connecting the top 25 collaborators of Phil Longstreet. A scholar is included among the top collaborators of Phil Longstreet 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 Phil Longstreet. Phil Longstreet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 38 | |
| 4 | 54 | |
| 5 | 55 | |
| 6 | Life satisfaction: A key to managing internet & social media addictionbreakdown → | 164 |
| 7 | 2 | |
| 8 | 84 | |
| 9 | 10 | |
| 10 | Life Satisfaction: The Key to Managing Internet & Social Media Addiction. | 10 |
| 11 | 19 | |
| 12 | 32 | |
| 13 | 5 | |
| 14 | Web 2.0: A Definition, Literature Review, and Directions for Future Research | 42 |
| 15 | 20 |
About Phil Longstreet
Phil Longstreet is a scholar working on Information Systems and Management, Applied Psychology and Sociology and Political Science, having authored 15 papers that have together received 551 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (5 papers), Digital Marketing and Social Media (5 papers) and Impact of Technology on Adolescents (5 papers). The work is most often cited by research in Information Systems and Management (105 citations), Applied Psychology (58 citations) and Communication (69 citations). Phil Longstreet has collaborated with scholars based in United States and Denmark. Frequent co-authors include Stoney Brooks, Thomas A. Hemphill, Syagnik Banerjee, Christopher B. Califf, Ester Gonzalez, Saonee Sarker, David W. Wilson, Eleanor T. Loiacono, Mauricio Featherman and Xiao Xiao. Their work appears in journals such as Technological Forecasting and Social Change, Information & Management and Journal of the Association for Information Systems.
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.