Michael Mendis

14 papers receiving 503 citations

Peers

Michael Mendis
Comparison fields: 5 of 79
  • Health Information Management 107
  • Information Systems and Management 65
  • Health Informatics 6
  • Management Science and Operations Research 44
  • Artificial Intelligence 82
Replace Wolfgang Kuchinke with:
Wolfgang Kuchinke Germany
Meredith Nahm United States
Josef Ingenerf Germany
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Jerry Sheehan United States
Björn Schreiweis Germany
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Citations per field
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Citations per year

Countries citing papers authored by Michael Mendis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Michael Mendis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Mendis Line = papers co-authored together Michael Mendis links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Architecture of the open-source clinical research chart from Informatics for Integrating Biology and the Bedside.
2007146
2
Integration of clinical and genetic data in the i2b2 architecture.
2006106
3 200996
4 201644
5 202135
6 201420
7
Using the i2b2 hive for clinical discovery: an example.
200715
8
A web portal that enables collaborative use of advanced medical image processing and informatics tools through the Biomedical Informatics Research Network (BIRN).
200612
9
Apps to display patient data, making SMART available in the i2b2 platform.
201210
10
Integration of Hive and cell software in the i2b2 architecture.
200710
11 20187
12 20186
13
Integrating outside modules into the i2b2 architecture.
20086
14 20222

About Michael Mendis

Michael Mendis is a scholar working on Information Systems and Management, Molecular Biology, Health Information Management, Computer Networks and Communications and Genetics, having authored 14 papers that have together received 515 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (5 papers), Biomedical Text Mining and Ontologies (4 papers), Electronic Health Records Systems (4 papers), Distributed and Parallel Computing Systems (3 papers), Genomics and Rare Diseases (2 papers), Advanced Data Storage Technologies (2 papers), Research Data Management Practices (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Health Information Management (107 citations), Information Systems and Management (65 citations), Health Informatics (6 citations), Management Science and Operations Research (44 citations) and Artificial Intelligence (82 citations). Michael Mendis has collaborated with scholars based in United States and Russia. Frequent co-authors include Shawn N. Murphy, Henry C. Chueh, Isaac S. Kohane, Vivian S. Gainer, John Glaser, Nich Wattanasin, David Berkowicz, A. K. Dubey, Scott T. Weiss and Ross Lazarus. Their work appears in journals such as Journal of the American Medical Informatics Association, BMC Medical Informatics and Decision Making, Bioinformatics, Genome Research and PubMed.

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.

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