A. Sheik Abdullah
Impact in
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- Artificial Intelligence in Healthcare
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Imbalanced Data Classification Techniques 8
- Sentiment Analysis and Opinion Mining 3
- Machine Learning and Data Classification 3
- Metaheuristic Optimization Algorithms Research 2
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- Artificial Intelligence in Healthcare 15
- Co-authors
- S. Selvakumar (14 shared papers)R. R. Rajalaxmi (1 shared paper)P. Karthikeyan (4 shared papers)R. Suganya (4 shared papers)Murali Venkatesh (3 shared papers)S. Rajaram (2 shared papers)S. Geetha (3 shared papers)P. Rajarajeswari (1 shared paper)
In The Last Decade
A. Sheik Abdullah
44 papers receiving 203 citations
Peers
Comparison fields: 5 of 70
- Health Information Management 86
- Computer Science Applications 24
- Medical Laboratory Technology 6
- Health Informatics 5
- Artificial Intelligence 100
Countries citing papers authored by A. Sheik Abdullah
This map shows the geographic impact of A. Sheik Abdullah'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 A. Sheik Abdullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Sheik Abdullah more than expected).
Fields of papers citing papers by A. Sheik Abdullah
This network shows the impact of papers produced by A. Sheik Abdullah. 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 A. Sheik Abdullah. The network helps show where A. Sheik Abdullah may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Sheik Abdullah, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Data mining Model for predicting the Coronary Heart Disease using Random Forest Classifier | 2012 | 40 |
| 2 | 2017 | 21 | |
| 3 | 2018 | 18 | |
| 4 | 2021 | 12 | |
| 5 | 2017 | 11 | |
| 6 | 2012 | 11 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2018 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 4 | |
| 17 | RANDOMIZED CLINICAL TRIAL OF SINGLE VERSUS THREE DOSES OF CEFAZOLIN AS PROPHYLAXIS FOR NONPERFORATED ACUTE APPENDICITIS | 2012 | 3 |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About A. Sheik Abdullah
A. Sheik Abdullah is a scholar working on Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition, Computer Science Applications and Computer Networks and Communications, having authored 52 papers that have together received 220 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (15 papers), Imbalanced Data Classification Techniques (8 papers), Online Learning and Analytics (5 papers), Diabetes Management and Research (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Stock Market Forecasting Methods (3 papers), Machine Learning and Data Classification (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Health Information Management (86 citations), Computer Science Applications (24 citations), Medical Laboratory Technology (6 citations), Health Informatics (5 citations) and Artificial Intelligence (100 citations). A. Sheik Abdullah has collaborated with scholars based in India, Malaysia and Indonesia. Frequent co-authors include S. Selvakumar, R. R. Rajalaxmi, P. Karthikeyan, R. Suganya, Murali Venkatesh, S. Rajaram, S. Geetha, P. Rajarajeswari, V. Gomathi and Utkarsh Mishra. Their work appears in journals such as Soft Computing, Alexandria Engineering Journal, Indian Journal of Science and Technology, Annals of Operations Research 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.