M. Adimoolam
Impact in
- Periodontics top 10%
- Scientific and Engineering Research Topics
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Spam and Phishing Detection 6
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- COVID-19 diagnosis using AI 7
- Co-authors
- A John (10 shared papers)Senthilkumar Mohan (5 shared papers)T. Ananth Kumar (3 shared papers)Ali Ahmadian (2 shared papers)Louis Sanzogni (1 shared paper)Ali Kashif Bashir (1 shared paper)Ahed Abugabah (1 shared paper)Aliza Sarlan (1 shared paper)
In The Last Decade
M. Adimoolam
27 papers receiving 289 citations
Peers
Comparison fields: 5 of 76
- Periodontics 20
- Health Information Management 18
- Computer Networks and Communications 71
- Computer Vision and Pattern Recognition 61
- Artificial Intelligence 96
Countries citing papers authored by M. Adimoolam
This map shows the geographic impact of M. Adimoolam'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 M. Adimoolam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Adimoolam more than expected).
Fields of papers citing papers by M. Adimoolam
This network shows the impact of papers produced by M. Adimoolam. 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 M. Adimoolam. The network helps show where M. Adimoolam may publish in the future.
Co-authors
The 24 scholars most cited alongside M. Adimoolam, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 49 | |
| 2 | 2022 | 39 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 25 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 17 | |
| 7 | 2020 | 17 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2014 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 4 |
About M. Adimoolam
M. Adimoolam is a scholar working on Information Systems, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, Computer Vision and Pattern Recognition and Periodontics, having authored 32 papers that have together received 319 indexed citations. Recurring topics across this work include Scientific and Engineering Research Topics (7 papers), COVID-19 diagnosis using AI (7 papers), Spam and Phishing Detection (6 papers), Smart Agriculture and AI (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Network Security and Intrusion Detection (3 papers), Chaos-based Image/Signal Encryption (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Periodontics (20 citations), Health Information Management (18 citations), Computer Networks and Communications (71 citations), Computer Vision and Pattern Recognition (61 citations) and Artificial Intelligence (96 citations). M. Adimoolam has collaborated with scholars based in India, Thailand and Malaysia. Frequent co-authors include A John, Senthilkumar Mohan, T. Ananth Kumar, Ali Ahmadian, Louis Sanzogni, Ali Kashif Bashir, Ahed Abugabah, Aliza Sarlan, Thippa Reddy Gadekallu and Weizheng Wang. Their work appears in journals such as Software Practice and Experience, Sensors, Computer Standards & Interfaces, Electronics and Sustainable Energy Technologies and Assessments.
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.