M.A.P. Chamikara
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Health Informatics top 10%
Papers in
-
- Privacy-Preserving Technologies in Data 14
- Adversarial Robustness in Machine Learning 5
- Cryptography and Data Security 5
-
- Advanced Malware Detection Techniques 4
- Co-authors
- Seyit Ahmet Camtepe (9 shared papers)Ibrahim Khalil (11 shared papers)Péter Bertök (8 shared papers)D. Liu (6 shared papers)Mohammed Atiquzzaman (3 shared papers)Dongxi Liu (2 shared papers)Chandra Thapa (1 shared paper)Mohammad Saidur Rahman (1 shared paper)
- Journals
- Computers & Security (2 papers)Computer Communications (2 papers)IEEE Transactions on Industrial Informatics (1 paper)Information Systems (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- AustraliaSri LankaUnited States
In The Last Decade
M.A.P. Chamikara
29 papers receiving 846 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 519
- Health Informatics 20
- Computer Science Applications 70
- Information Systems 269
- Signal Processing 87
Countries citing papers authored by M.A.P. Chamikara
This map shows the geographic impact of M.A.P. Chamikara'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.A.P. Chamikara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A.P. Chamikara more than expected).
Fields of papers citing papers by M.A.P. Chamikara
This network shows the impact of papers produced by M.A.P. Chamikara. 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.A.P. Chamikara. The network helps show where M.A.P. Chamikara may publish in the future.
Co-authors
The 25 scholars most cited alongside M.A.P. Chamikara, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 202 | |
| 2 | 2021 | 106 | |
| 3 | 2020 | 104 | |
| 4 | 2022 | 76 | |
| 5 | 2021 | 73 | |
| 6 | 2019 | 71 | |
| 7 | 2018 | 58 | |
| 8 | 2019 | 47 | |
| 9 | 2022 | 20 | |
| 10 | 2021 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2020 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2023 | 9 | |
| 15 | 2016 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2024 | 3 |
About M.A.P. Chamikara
M.A.P. Chamikara is a scholar working on Artificial Intelligence, Signal Processing, Computer Science Applications, Information Systems and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 869 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (14 papers), Adversarial Robustness in Machine Learning (5 papers), Privacy, Security, and Data Protection (5 papers), Cryptography and Data Security (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Advanced Malware Detection Techniques (4 papers), Information and Cyber Security (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Artificial Intelligence (519 citations), Health Informatics (20 citations), Computer Science Applications (70 citations), Information Systems (269 citations) and Signal Processing (87 citations). M.A.P. Chamikara has collaborated with scholars based in Australia, Sri Lanka and United States. Frequent co-authors include Seyit Ahmet Camtepe, Ibrahim Khalil, Péter Bertök, D. Liu, Mohammed Atiquzzaman, Dongxi Liu, Chandra Thapa, Mohammad Saidur Rahman, Abdelaziz Bouras and Surya Nepal. Their work appears in journals such as Computers & Security, Computer Communications, IEEE Transactions on Industrial Informatics, Information Systems and Computers in Biology and Medicine.
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.