Manoj Jayabalan
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
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- Imbalanced Data Classification Techniques 5
- AI in cancer detection 4
- Privacy-Preserving Technologies in Data 3
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- Artificial Intelligence in Healthcare 6
- Co-authors
- V. Thiruchelvam (6 shared papers)Muhammad Ehsan Rana (4 shared papers)Johan Nilsson (1 shared paper)Sandra Ortega‐Martorell (1 shared paper)Iván Olier (1 shared paper)Paulo Lisböa (1 shared paper)V. Sharma (2 shared papers)Hoshang Kolivand (2 shared papers)
- Journals
- Scientific Reports (1 paper)Complex & Intelligent Systems (1 paper)Journal of Medical Systems (1 paper)Journal of Computational and Theoretical Nanoscience (3 papers)Bioengineering (2 papers)
- Partner nations
- MalaysiaUnited KingdomChile
In The Last Decade
Manoj Jayabalan
35 papers receiving 327 citations
Peers
Comparison fields: 5 of 89
- Health Information Management 53
- Health Informatics 13
- Artificial Intelligence 182
- Computer Science Applications 23
- Information Systems 83
Countries citing papers authored by Manoj Jayabalan
This map shows the geographic impact of Manoj Jayabalan'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 Manoj Jayabalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Jayabalan more than expected).
Fields of papers citing papers by Manoj Jayabalan
This network shows the impact of papers produced by Manoj Jayabalan. 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 Manoj Jayabalan. The network helps show where Manoj Jayabalan may publish in the future.
Co-authors
The 11 scholars most cited alongside Manoj Jayabalan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2017 | 37 | |
| 3 | 2020 | 29 | |
| 4 | 2020 | 27 | |
| 5 | 2016 | 24 | |
| 6 | 2020 | 24 | |
| 7 | 2018 | 20 | |
| 8 | 2015 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2021 | 9 | |
| 15 | CONVOLUTIONAL NEURAL NETWORK BASED OBJECT DETECTION: A REVIEW | 2020 | 9 |
| 16 | 2019 | 6 | |
| 17 | A Survey On Opinion Spam Detection Methods | 2019 | 5 |
| 18 | 2017 | 5 | |
| 19 | 2020 | 3 | |
| 20 | 2019 | 3 |
About Manoj Jayabalan
Manoj Jayabalan is a scholar working on Artificial Intelligence, Health Information Management, Sociology and Political Science, Information Systems and Surgery, having authored 39 papers that have together received 356 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (6 papers), Imbalanced Data Classification Techniques (5 papers), Access Control and Trust (4 papers), AI in cancer detection (4 papers), Privacy-Preserving Technologies in Data (3 papers), Financial Distress and Bankruptcy Prediction (3 papers), COVID-19 diagnosis using AI (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Health Information Management (53 citations), Health Informatics (13 citations), Artificial Intelligence (182 citations), Computer Science Applications (23 citations) and Information Systems (83 citations). Manoj Jayabalan has collaborated with scholars based in Malaysia, United Kingdom and Chile. Frequent co-authors include V. Thiruchelvam, Muhammad Ehsan Rana, Johan Nilsson, Sandra Ortega‐Martorell, Iván Olier, Paulo Lisböa, V. Sharma, Hoshang Kolivand, Dhiya Al‐Jumeily and Jamila Mustafina. Their work appears in journals such as Scientific Reports, Complex & Intelligent Systems, Journal of Medical Systems, Journal of Computational and Theoretical Nanoscience and Bioengineering.
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.