M.A.P. Chamikara

1.9k total citations · 1 hit paper
30 papers, 1.0k citations indexed

About

M.A.P. Chamikara is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, M.A.P. Chamikara has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in M.A.P. Chamikara's work include Privacy-Preserving Technologies in Data (13 papers), Adversarial Robustness in Machine Learning (5 papers) and Privacy, Security, and Data Protection (4 papers). M.A.P. Chamikara is often cited by papers focused on Privacy-Preserving Technologies in Data (13 papers), Adversarial Robustness in Machine Learning (5 papers) and Privacy, Security, and Data Protection (4 papers). M.A.P. Chamikara collaborates with scholars based in Australia, Sri Lanka and United States. M.A.P. Chamikara's co-authors include Seyit Camtepe, Ibrahim Khalil, Péter Bertök, Lichao Sun, Chandra Thapa, D. Liu, Mohammed Atiquzzaman, Dongxi Liu, Abdelaziz Bouras and Mohammad Saidur Rahman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Industrial Informatics.

In The Last Decade

M.A.P. Chamikara

28 papers receiving 998 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SplitFed: When Federated Learning Meets Split Learning

2022 337 citations M.A.P. Chamikara, Seyit Camtepe et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M.A.P. Chamikara Australia	12	673	288	222	152	121	30	1.0k
Abbas Acar United States	11	667 1.0×	327 1.1×	253 1.1×	161 1.1×	83 0.7×	26	1.0k
Nathalie Baracaldo United States	14	880 1.3×	197 0.7×	186 0.8×	48 0.3×	138 1.1×	29	1.1k
Péter Bertök Australia	17	564 0.8×	348 1.2×	429 1.9×	122 0.8×	113 0.9×	63	1.1k
Yifeng Zheng China	22	962 1.4×	468 1.6×	199 0.9×	255 1.7×	126 1.0×	92	1.4k
Zuobin Ying China	18	605 0.9×	473 1.6×	280 1.3×	120 0.8×	47 0.4×	76	1.1k
Hanine Tout Canada	12	900 1.3×	249 0.9×	623 2.8×	61 0.4×	113 0.9×	19	1.3k
Karn Seth United States	4	1.8k 2.7×	239 0.8×	208 0.9×	103 0.7×	199 1.6×	7	1.9k
Ben Kreuter United States	3	1.8k 2.7×	249 0.9×	210 0.9×	105 0.7×	201 1.7×	4	2.0k
Antonio Marcedone United States	3	1.8k 2.6×	227 0.8×	200 0.9×	99 0.7×	197 1.6×	4	1.9k

Countries citing papers authored by M.A.P. Chamikara

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M.A.P. Chamikara

This figure shows the co-authorship network connecting the top 25 collaborators of M.A.P. Chamikara. A scholar is included among the top collaborators of M.A.P. Chamikara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.A.P. Chamikara. M.A.P. Chamikara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chamikara, M.A.P., et al.. (2024). Local Differential Privacy for Smart Meter Data Sharing with Energy Disaggregation. 1–10. 2 indexed citations

Chamikara, M.A.P., et al.. (2024). An Adversarial Machine Learning Based Approach for Privacy Preserving Face Recognition in Distributed Smart City Surveillance. Computer Networks. 254. 110798–110798.

Chamikara, M.A.P., et al.. (2024). Unveiling Intellectual Property Vulnerabilities of GAN-Based Distributed Machine Learning through Model Extraction Attacks. 1617–1626. 1 indexed citations

Zhang, Yanjun, et al.. (2023). AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. Griffith Research Online (Griffith University, Queensland, Australia). 2371–2382. 11 indexed citations

Chamikara, M.A.P., et al.. (2023). SoK: Systematizing Attack Studies in Federated Learning – From Sparseness to Completeness. 579–592.

Zhang, Yanjun, et al.. (2023). LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks. Griffith Research Online (Griffith University, Queensland, Australia). 122–135. 6 indexed citations

Rahman, Mohammad Saidur, M.A.P. Chamikara, Ibrahim Khalil, & Abdelaziz Bouras. (2022). Blockchain-of-blockchains: An interoperable blockchain platform for ensuring IoT data integrity in smart city. Journal of Industrial Information Integration. 30. 100408–100408. 60 indexed citations

Grobler, Marthie, et al.. (2022). Simplifying Cyber Security Maturity Models through National Culture: A Fuzzy Logic Approach. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations

Chamikara, M.A.P., Péter Bertök, Ibrahim Khalil, D. Liu, & Seyit Camtepe. (2021). PPaaS: Privacy Preservation as a Service. Computer Communications. 173. 192–205. 10 indexed citations

10.

Chamikara, M.A.P. & Yi‐Ping Phoebe Chen. (2021). MedFused: A framework to discover the relationships between drug chemical functional group impacts and side eﬀects. Computers in Biology and Medicine. 133. 104361–104361. 4 indexed citations

11.

Chamikara, M.A.P., et al.. (2021). Privacy-preserving location data stream clustering on mobile edge computing and cloud. Information Systems. 107. 101728–101728. 13 indexed citations

12.

Chamikara, M.A.P., Péter Bertök, Ibrahim Khalil, et al.. (2020). A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems. IEEE Transactions on Industrial Informatics. 16(9). 6092–6102. 175 indexed citations

13.

Chamikara, M.A.P., Péter Bertök, Ibrahim Khalil, D. Liu, & Seyit Camtepe. (2020). Privacy Preserving Face Recognition Utilizing Differential Privacy. Computers & Security. 97. 101951–101951. 81 indexed citations

14.

Chamikara, M.A.P., Péter Bertök, D. Liu, Seyit Camtepe, & Ibrahim Khalil. (2019). Efficient privacy preservation of big data for accurate data mining. Information Sciences. 527. 420–443. 65 indexed citations

15.

Chamikara, M.A.P., et al.. (2019). A novel and efficient approach for line segment clipping against a convex polygon. SHILAP Revista de lepidopterología. 10(2). 161–161. 2 indexed citations

16.

Chamikara, M.A.P., Péter Bertök, D. Liu, Seyit Camtepe, & Ibrahim Khalil. (2018). Efficient data perturbation for privacy preserving and accurate data stream mining. Pervasive and Mobile Computing. 48. 1–19. 53 indexed citations

17.

Chamikara, M.A.P., et al.. (2017). Towards implementing efficient autonomous vacuum cleaning systems. 2. 1–6. 4 indexed citations

18.

Chamikara, M.A.P., et al.. (2014). Web GIS to Identify the Problematic Mobile Signal Clusters. International Journal of Computer Applications. 88(10). 30–34. 1 indexed citations

19.

Chamikara, M.A.P., et al.. (2013). Generation of Strongly Regular Graphs from Normalized Hadamard Matrices. International journal of scientific and technology research. 2(2). 210–215. 2 indexed citations

20.

Chamikara, M.A.P., et al.. (2013). An Efficient Algorithm To Detect The Nearest Location Of A Map For A Given Theme. International journal of scientific and technology research. 2(4). 55–59. 1 indexed citations

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.

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