Charith Perera

9.9k total citations · 7 hit papers
105 papers, 5.7k citations indexed

About

Charith Perera is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Charith Perera has authored 105 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 40 papers in Computer Vision and Pattern Recognition and 31 papers in Artificial Intelligence. Recurrent topics in Charith Perera's work include IoT and Edge/Fog Computing (36 papers), Context-Aware Activity Recognition Systems (30 papers) and Privacy, Security, and Data Protection (21 papers). Charith Perera is often cited by papers focused on IoT and Edge/Fog Computing (36 papers), Context-Aware Activity Recognition Systems (30 papers) and Privacy, Security, and Data Protection (21 papers). Charith Perera collaborates with scholars based in United Kingdom, Australia and Saudi Arabia. Charith Perera's co-authors include Arkady Zaslavsky, Dimitrios Georgakopoulos, Peter Christen, Chi Harold Liu, Srimal Jayawardena, Min Chen, Athanasios V. Vasilakos, Prem Prakash Jayaraman, Júlio Cézar Estrella and Omer Rana and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

In The Last Decade

Charith Perera

96 papers receiving 5.4k citations

Hit Papers

Context Aware Computing f... 2013 2026 2017 2021 2013 2013 2014 2015 2017 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Charith Perera 3.4k 1.6k 1.4k 1.2k 899 105 5.7k
Arkady Zaslavsky 3.5k 1.0× 2.0k 1.2× 1.4k 1.0× 1.1k 1.0× 1.4k 1.6× 289 6.5k
Paolo Bellavista 4.0k 1.2× 1.3k 0.8× 1.3k 0.9× 1.9k 1.6× 912 1.0× 357 6.5k
Slaven Marusic 5.1k 1.5× 1.5k 0.9× 2.0k 1.4× 2.5k 2.1× 1.1k 1.2× 31 9.0k
Ejaz Ahmed 5.0k 1.5× 963 0.6× 2.6k 1.9× 2.1k 1.8× 1.4k 1.6× 81 8.1k
Mehdi Mohammadi 4.1k 1.2× 782 0.5× 1.3k 0.9× 2.7k 2.3× 873 1.0× 35 6.4k
Chin‐Feng Lai 2.6k 0.8× 910 0.6× 1.0k 0.7× 1.3k 1.1× 808 0.9× 201 5.4k
Mohammed Aledhari 4.2k 1.2× 755 0.5× 1.6k 1.1× 2.5k 2.1× 1.2k 1.3× 25 6.5k
Moussa Ayyash 4.3k 1.3× 745 0.5× 1.3k 1.0× 3.2k 2.7× 813 0.9× 70 6.9k
Lianyong Qi 4.4k 1.3× 1.7k 1.0× 3.3k 2.4× 1.6k 1.3× 2.8k 3.1× 218 8.7k
Shancang Li 4.2k 1.3× 1.0k 0.6× 2.3k 1.7× 2.0k 1.7× 1.6k 1.8× 77 8.1k

Countries citing papers authored by Charith Perera

Since Specialization
Citations

This map shows the geographic impact of Charith Perera'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 Charith Perera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charith Perera more than expected).

Fields of papers citing papers by Charith Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charith Perera. 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 Charith Perera. The network helps show where Charith Perera may publish in the future.

Co-authorship network of co-authors of Charith Perera

This figure shows the co-authorship network connecting the top 25 collaborators of Charith Perera. A scholar is included among the top collaborators of Charith Perera 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 Charith Perera. Charith Perera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rana, Omer, et al.. (2025). SpaceSense: Exploring the Use of Sensors Data to Understand Occupants' Behavior in Heterogeneous Study Space Types. ORCA Online Research @Cardiff (Cardiff University). 3(3). 1–38.
2.
Heartfield, Ryan, et al.. (2025). Real-Time Anomaly Detection for Industrial Robotic Arms Using Edge Computing. IEEE Internet of Things Journal. 12(15). 29696–29712. 1 indexed citations
3.
Meedeniya, Dulani, Oktay Karakuş, Omer Rana, et al.. (2025). Review on Sustainable Forestry with Artificial Intelligence. ORCA Online Research @Cardiff (Cardiff University). 3(4). 1–48. 1 indexed citations
4.
Meedeniya, Dulani, et al.. (2025). Elephant Sound Classification Using Deep Learning Optimization. Sensors. 25(2). 352–352. 3 indexed citations
5.
Rana, Omer, et al.. (2025). Self-adaptive Federated Learning in Internet of Things Systems: A Review. ACM Computing Surveys. 57(10). 1–36.
6.
Heartfield, Ryan, et al.. (2024). CASPER: Context-Aware IoT Anomaly Detection System for Industrial Robotic Arms. ORCA Online Research @Cardiff (Cardiff University). 5(3). 1–36. 5 indexed citations
7.
Meedeniya, Dulani, et al.. (2024). ESC-NAS: Environment Sound Classification Using Hardware-Aware Neural Architecture Search for the Edge. Sensors. 24(12). 3749–3749. 14 indexed citations
8.
Lloyd, Camille, et al.. (2024). Stress-GPT: Stress detection with an EEG-based foundation model. ORCA Online Research @Cardiff (Cardiff University). 2341–2346.
9.
Meedeniya, Dulani, et al.. (2024). A Comparative Study of Preprocessing and Model Compression Techniques in Deep Learning for Forest Sound Classification. Sensors. 24(4). 1149–1149. 11 indexed citations
10.
Rana, Omer, Sean I. Savitz, & Charith Perera. (2023). Edge analytics on resource constrained devices. International Journal of Computational Science and Engineering. 26(5). 513–527.
11.
Alosaimi, Mohammed F., et al.. (2023). Dataset for cyber–physical anomaly detection in smart homes. ORCA Online Research @Cardiff (Cardiff University). 2. 1 indexed citations
12.
Barhamgi, Mahmoud, et al.. (2023). Personal Data Stores (PDS): A Review. Sensors. 23(3). 1477–1477. 14 indexed citations
13.
Meedeniya, Dulani, et al.. (2023). Forest Sound Classification Dataset: FSC22. Sensors. 23(4). 2032–2032. 16 indexed citations
14.
Meedeniya, Dulani, Charith Perera, Soumya Ranjan Nayak, et al.. (2021). License plate recognition using neural architecture search for edge devices. International Journal of Intelligent Systems. 37(12). 10211–10248. 18 indexed citations
15.
Hussein, Ahmed Taha, Mahmoud Barhamgi, Massimo Vecchio, & Charith Perera. (2019). Crowdsourced Peer Learning Activity for Internet of Things Education: A Case Study. IRIS eCampus Telematic University (Università degli Studi eCampus). 9 indexed citations
16.
Rehman, Muhammad Habib ur, Ibrar Yaqoob, Khaled Salah, et al.. (2019). The role of big data analytics in industrial Internet of Things. Swinburne Research Bank (Swinburne University of Technology). 255 indexed citations breakdown →
17.
Makhoul, Abdallah, et al.. (2019). A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks. IEEE Access. 7. 50669–50680. 33 indexed citations
18.
Azad, Muhammad Ajmal, Samiran Bag, Charith Perera, Mahmoud Barhamgi, & Feng Hao. (2019). Authentic Caller: Self-Enforcing Authentication in a Next-Generation Network. IEEE Transactions on Industrial Informatics. 16(5). 3606–3615. 16 indexed citations
19.
Safa, Nader Sohrabi, Carsten Maple, Steven Furnell, et al.. (2019). Deterrence and prevention-based model to mitigate information security insider threats in organisations. Future Generation Computer Systems. 97. 587–597. 59 indexed citations
20.
Baarslag, Tim, et al.. (2017). An Automated Negotiation Agent for Permission Management. ORCA Online Research @Cardiff (Cardiff University). 380–390. 27 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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