Michael Mendis
- Molecular Biology
- Health Information Management top 1%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Shawn N. MurphyIsaac S. KohaneHenry C. ChuehVivian S. GainerJohn GlaserDavid BerkowiczNich WattanasinRoss Lazarus
- Topics
- Scientific Computing and Data Management (6 papers)Biomedical Text Mining and Ontologies (5 papers)Electronic Health Records Systems (5 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Michael Mendis
14 papers receiving 465 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 161
- Health Information Management 139
- Artificial Intelligence 120
- Information Systems and Management 86
- Management Science and Operations Research 65
Countries citing papers authored by Michael Mendis
This map shows the geographic impact of Michael Mendis'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 Michael Mendis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mendis more than expected).
Fields of papers citing papers by Michael Mendis
This network shows the impact of papers produced by Michael Mendis. 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 Michael Mendis. The network helps show where Michael Mendis may publish in the future.
Co-authorship network of co-authors of Michael Mendis
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mendis. A scholar is included among the top collaborators of Michael Mendis 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 Michael Mendis. Michael Mendis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 33 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 41 | |
| 6 | 18 | |
| 7 | Apps to display patient data, making SMART available in the i2b2 platform. | 10 |
| 8 | 92 | |
| 9 | Integrating outside modules into the i2b2 architecture. | 5 |
| 10 | Using the i2b2 hive for clinical discovery: an example. | 14 |
| 11 | Architecture of the open-source clinical research chart from Informatics for Integrating Biology and the Bedside. | 138 |
| 12 | Integration of Hive and cell software in the i2b2 architecture. | 6 |
| 13 | A web portal that enables collaborative use of advanced medical image processing and informatics tools through the Biomedical Informatics Research Network (BIRN). | 11 |
| 14 | Integration of clinical and genetic data in the i2b2 architecture. | 97 |
About Michael Mendis
Michael Mendis is a scholar working on Health Information Management, Information Systems and Management and Computer Networks and Communications, having authored 14 papers that have together received 476 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Electronic Health Records Systems (5 papers). The work is most often cited by research in Health Information Management (139 citations), Information Systems and Management (86 citations) and Health Informatics (10 citations). Michael Mendis has collaborated with scholars based in United States and Russia. Frequent co-authors include Shawn N. Murphy, Isaac S. Kohane, Henry C. Chueh, Vivian S. Gainer, John Glaser, David Berkowicz, Nich Wattanasin, Ross Lazarus, Qing Zeng and Susanne Churchill. Their work appears in journals such as Bioinformatics, Genome Research and Journal of the American Medical Informatics Association.
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.