Maria R. Lee
- Sociology and Political Science top 10%
- Communication top 5%
- Information Systems and Management top 5%
- Strategy and Management top 10%
- Management Information Systems top 10%
- Co-authors
- Tsung Teng ChenYi-chen LanDavid C. YenCheng‐Chieh HsiaoSeth EarleySunil MithasSan MurugesanGeorge Hurlburt
- Topics
- Knowledge Management and Sharing (5 papers)Big Data and Business Intelligence (3 papers)Technology Adoption and User Behaviour (3 papers)
- Journals
- Computers in Human BehaviorExpert Systems with ApplicationsJournal of the Association for Information Systems
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Maria R. Lee
24 papers receiving 458 citations
Peers
Comparison fields: 5 of 95
- Sociology and Political Science 138
- Communication 129
- Information Systems and Management 109
- Strategy and Management 103
- Management Information Systems 76
Countries citing papers authored by Maria R. Lee
This map shows the geographic impact of Maria R. Lee'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 Maria R. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria R. Lee more than expected).
Fields of papers citing papers by Maria R. Lee
This network shows the impact of papers produced by Maria R. Lee. 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 Maria R. Lee. The network helps show where Maria R. Lee may publish in the future.
Co-authorship network of co-authors of Maria R. Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Maria R. Lee. A scholar is included among the top collaborators of Maria R. Lee 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 Maria R. Lee. Maria R. Lee 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 | 15 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | A CLOUD DEPLOYMENT APPROACH FOR CONSUMER SUPPORT SYSTEMS | 1 |
| 10 | 6 | |
| 11 | 53 | |
| 12 | Trends in Ubiquitous Multimedia Computing 1 | 7 |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 66 | |
| 16 | From Web 2.0 to Conversational Knowledge Management: Towards Collaborative Intelligence | 33 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | Using CBR for Clinical Incident Management. | 1 |
| 20 | Sharing and Re-use of Clinical Incident Information on the Web | 2 |
About Maria R. Lee
Maria R. Lee is a scholar working on Communication, Medical Laboratory Technology and Information Systems and Management, having authored 26 papers that have together received 494 indexed citations. Recurring topics across this work include Knowledge Management and Sharing (5 papers), Big Data and Business Intelligence (3 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Communication (129 citations), Information Systems and Management (109 citations) and Management Information Systems (76 citations). Maria R. Lee has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Tsung Teng Chen, Yi-chen Lan, David C. Yen, Cheng‐Chieh Hsiao, Seth Earley, Sunil Mithas, San Murugesan, George Hurlburt, Matthew Lee and Ronald E. McGaughey. Their work appears in journals such as Computers in Human Behavior, Expert Systems with Applications 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.