Cheryl Ann Alexander
- Health Information Management top 1%
- Management Information Systems top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Lidong WangGuanghui WangViral N. Shah
- Topics
- Artificial Intelligence in Healthcare (10 papers)Big Data and Business Intelligence (10 papers)Big Data Technologies and Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaNursing Administration QuarterlyJournal of Medical Engineering & Technology
- Partner nations
- United StatesChina
In The Last Decade
Cheryl Ann Alexander
38 papers receiving 464 citations
Peers
Comparison fields: 5 of 120
- Health Information Management 111
- Management Information Systems 108
- Artificial Intelligence 102
- Information Systems 76
- Computer Networks and Communications 48
Countries citing papers authored by Cheryl Ann Alexander
This map shows the geographic impact of Cheryl Ann Alexander'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 Cheryl Ann Alexander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheryl Ann Alexander more than expected).
Fields of papers citing papers by Cheryl Ann Alexander
This network shows the impact of papers produced by Cheryl Ann Alexander. 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 Cheryl Ann Alexander. The network helps show where Cheryl Ann Alexander may publish in the future.
Co-authorship network of co-authors of Cheryl Ann Alexander
This figure shows the co-authorship network connecting the top 25 collaborators of Cheryl Ann Alexander. A scholar is included among the top collaborators of Cheryl Ann Alexander 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 Cheryl Ann Alexander. Cheryl Ann Alexander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 65 | |
| 6 | 0 | |
| 7 | 24 | |
| 8 | 40 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 34 | |
| 12 | 78 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 45 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 4 |
About Cheryl Ann Alexander
Cheryl Ann Alexander is a scholar working on Health Information Management, Management Information Systems and Information Systems and Management, having authored 41 papers that have together received 499 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (10 papers), Big Data and Business Intelligence (10 papers) and Big Data Technologies and Applications (7 papers). The work is most often cited by research in Health Information Management (111 citations), Health Informatics (19 citations) and Management Information Systems (108 citations). Cheryl Ann Alexander has collaborated with scholars based in United States and China. Frequent co-authors include Lidong Wang, Lidong Wang, Guanghui Wang, Lidong Wang, Guanghui Wang, Lidong Wang, Lidong Wang, Lidong Wang, Viral N. Shah and Lidong Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Nursing Administration Quarterly and Journal of Medical Engineering & Technology.
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.