Vijay Mago
- Health Informatics top 2%
- Artificial Intelligence top 5%
- Topic Modeling 13
- Cognitive Science and Mapping 10
- Sentiment Analysis and Opinion Mining 8
- Natural Language Processing Techniques 6
- Advanced Text Analysis Techniques 6
- Communication top 10%
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- Misinformation and Its Impacts 7
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- Social Media in Health Education 6
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- Context-Aware Activity Recognition Systems 5
- Co-authors
- Philippe J. GiabbanelliGautam SrivastavaVahid DabbaghianThomas Torsney-WeirElpiniki I. PapageorgiouDavid W. SavageCharles E. FritzRyan Woolrych
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (5 papers)IEEE Access (6 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Vijay Mago
84 papers receiving 944 citations
Peers
Comparison fields: 5 of 152
- Health Informatics 54
- Health Information Management 90
- Artificial Intelligence 465
- Management Science and Operations Research 92
- Communication 38
Countries citing papers authored by Vijay Mago
This map shows the geographic impact of Vijay Mago'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 Vijay Mago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Mago more than expected).
Fields of papers citing papers by Vijay Mago
This network shows the impact of papers produced by Vijay Mago. 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 Vijay Mago. The network helps show where Vijay Mago may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vijay Mago, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 56 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 7 | |
| 15 | 2013 | 72 | |
| 16 | 2012 | 9 | |
| 17 | 2012 | 41 | |
| 18 | 2011 | 11 | |
| 19 | MaST: A Tool for Aiding the Staff Training Management by Using Influence Diagrams. | 2008 | 1 |
| 20 | A multi-agent medical system for Indian rural infant and child care | 2007 | 5 |
About Vijay Mago
Vijay Mago is a scholar working on Health Informatics, Artificial Intelligence and Health, having authored 89 papers that have together received 992 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Cognitive Science and Mapping (10 papers), Sentiment Analysis and Opinion Mining (8 papers), Misinformation and Its Impacts (7 papers), Natural Language Processing Techniques (6 papers), Advanced Text Analysis Techniques (6 papers), Social Media in Health Education (6 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Health Informatics (54 citations), Health Information Management (90 citations) and Artificial Intelligence (465 citations). Vijay Mago has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Philippe J. Giabbanelli, Gautam Srivastava, Vahid Dabbaghian, Thomas Torsney-Weir, Elpiniki I. Papageorgiou, David W. Savage, Charles E. Fritz, Ryan Woolrych, Shan Du and Ajay Bhatia. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.