Jaejoo Lim
- Sociology and Political Science top 10%
- Information Systems and Management top 2%
- Marketing top 10%
- Management Information Systems top 5%
- Communication top 10%
- Co-authors
- Ramakrishna AyyagariJason Bennett ThatcherD. Harrison McKnightMisty L. LoughryVarun GroverJohn W. CoffeyRussell L. PurvisShishir Paramathma Rao
- Topics
- Technology Adoption and User Behaviour (5 papers)Big Data and Business Intelligence (3 papers)Digital Marketing and Social Media (3 papers)
- Journals
- Computers in Human BehaviorInformation & ManagementJournal of the Association for Information Systems
- Partner nations
- United StatesLatviaSingapore
In The Last Decade
Jaejoo Lim
13 papers receiving 409 citations
Peers
Comparison fields: 5 of 57
- Sociology and Political Science 232
- Information Systems and Management 158
- Marketing 96
- Management Information Systems 89
- Communication 67
Countries citing papers authored by Jaejoo Lim
This map shows the geographic impact of Jaejoo Lim'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 Jaejoo Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaejoo Lim more than expected).
Fields of papers citing papers by Jaejoo Lim
This network shows the impact of papers produced by Jaejoo Lim. 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 Jaejoo Lim. The network helps show where Jaejoo Lim may publish in the future.
Co-authorship network of co-authors of Jaejoo Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Jaejoo Lim. A scholar is included among the top collaborators of Jaejoo Lim 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 Jaejoo Lim. Jaejoo Lim 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 | 2 | |
| 3 | 6 | |
| 4 | 67 | |
| 5 | GOOD TECHNOLOGY, BAD MANAGEMENT: A CASE STUDY OF THE SATELLITE PHONE INDUSTRY | 7 |
| 6 | 4 | |
| 7 | 20 | |
| 8 | 10 | |
| 9 | 142 | |
| 10 | 20 | |
| 11 | 90 | |
| 12 | 64 | |
| 13 | 7 |
About Jaejoo Lim
Jaejoo Lim is a scholar working on Information Systems and Management, Management Information Systems and Marketing, having authored 13 papers that have together received 442 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (5 papers), Big Data and Business Intelligence (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Information Systems and Management (158 citations), Marketing (96 citations) and Management Information Systems (89 citations). Jaejoo Lim has collaborated with scholars based in United States, Latvia and Singapore. Frequent co-authors include Ramakrishna Ayyagari, Jason Bennett Thatcher, D. Harrison McKnight, Misty L. Loughry, Varun Grover, Varun Grover, John W. Coffey, Russell L. Purvis, Shishir Paramathma Rao and Guang Rong. Their work appears in journals such as Computers in Human Behavior, 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.