De Silva

2.1k total citations
122 papers, 1.2k citations indexed

About

De Silva is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, De Silva has authored 122 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 22 papers in Signal Processing and 19 papers in Artificial Intelligence. Recurrent topics in De Silva's work include Image and Video Quality Assessment (23 papers), Video Coding and Compression Technologies (19 papers) and Advanced Vision and Imaging (17 papers). De Silva is often cited by papers focused on Image and Video Quality Assessment (23 papers), Video Coding and Compression Technologies (19 papers) and Advanced Vision and Imaging (17 papers). De Silva collaborates with scholars based in United Kingdom, United States and Sri Lanka. De Silva's co-authors include A.M. Kondoz, W.A.C. Fernando, Stewart Worrall, Erhan Ekmekcioǧlu, Hemantha Kodikara Arachchi, S.L.P. Yasakethu, Anil Fernando, Nicole L. La Gruta, Ian R. van Driel and Paul A. Gleeson and has published in prestigious journals such as Water Resources Research, IEEE Transactions on Image Processing and Journal of Hydrology.

In The Last Decade

De Silva

107 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De Silva United Kingdom 20 497 179 144 115 90 122 1.2k
Federico Álvarez Spain 19 314 0.6× 105 0.6× 84 0.6× 73 0.6× 72 0.8× 100 1.1k
Nguyễn Thị Thanh Thủy Vietnam 19 335 0.7× 13 0.1× 105 0.7× 99 0.9× 42 0.5× 140 1.5k
Raja Syamsul Azmir Raja Abdullah Malaysia 24 74 0.1× 62 0.3× 51 0.4× 67 0.6× 27 0.3× 173 1.9k
Duc Thanh Nguyen Australia 19 788 1.6× 45 0.3× 41 0.3× 56 0.5× 14 0.2× 58 1.3k
Minghua Zhao China 21 625 1.3× 37 0.2× 589 4.1× 146 1.3× 4 0.0× 126 1.8k
Khairul Munadi Indonesia 19 267 0.5× 66 0.4× 104 0.7× 318 2.8× 10 0.1× 108 1.3k
Dan Zeng China 20 361 0.7× 118 0.7× 21 0.1× 52 0.5× 14 0.2× 122 1.3k
Frode Eika Sandnes Norway 19 313 0.6× 90 0.5× 97 0.7× 102 0.9× 2 0.0× 190 1.6k
Radhika M. Pai India 22 326 0.7× 68 0.4× 73 0.5× 42 0.4× 18 0.2× 97 1.3k
Carsten Meyer Germany 26 139 0.3× 41 0.2× 17 0.1× 70 0.6× 15 0.2× 72 3.0k

Countries citing papers authored by De Silva

Since Specialization
Citations

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

Fields of papers citing papers by De Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of De Silva

This figure shows the co-authorship network connecting the top 25 collaborators of De Silva. A scholar is included among the top collaborators of De Silva 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 De Silva. De Silva 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.
Silva, De, et al.. (2025). Advancements in neuromorphic computing for bio-inspired artificial vision: A review. Neurocomputing. 653. 131221–131221.
2.
Silva, De, et al.. (2025). Discovering causality for efficient cooperation in multi-agent environments. Neurocomputing. 642. 130358–130358.
3.
Silva, De, et al.. (2024). Generating neural architectures from parameter spaces for multi-agent reinforcement learning. Pattern Recognition Letters. 185. 272–278. 1 indexed citations
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Silva, De, et al.. (2022). Towards Interpretable Camera and LiDAR Data Fusion for Autonomous Ground Vehicles Localisation. Sensors. 22(20). 8021–8021. 4 indexed citations
8.
Silva, De, et al.. (2021). LiDAR-Based Glass Detection for Improved Occupancy Grid Mapping. Sensors. 21(7). 2263–2263. 26 indexed citations
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10.
Silva, De, et al.. (2021). Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control. Sensors. 21(23). 7829–7829. 7 indexed citations
11.
Na, Jiaming, et al.. (2020). Probabilistic approximation of effective reproduction number of COVID-19 using daily death statistics. Chaos Solitons & Fractals. 140. 110181–110181. 5 indexed citations
12.
Silva, De, et al.. (2020). Deep Multi-Critic Network for accelerating Policy Learning in multi-agent environments. Neural Networks. 128. 97–106. 8 indexed citations
13.
Silva, De, et al.. (2019). Use of Machine Learning to Automate the Identification of Basketball Strategies Using Whole Team Player Tracking Data. Applied Sciences. 10(1). 24–24. 45 indexed citations
14.
Silva, De, et al.. (2019). Learning Control Policies of Driverless Vehicles from UAV Video Streams in Complex Urban Environments. Remote Sensing. 11(23). 2723–2723. 5 indexed citations
15.
Silva, De, et al.. (2018). Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots. Sensors. 18(8). 2730–2730. 85 indexed citations
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Mathews, Holly F., Nancy J. Burke, Karen E. Dyer, et al.. (2015). Anthropologies of Cancer in Transnational Worlds. BiblioBoard Library Catalog (Open Research Library). 38 indexed citations
18.
Silva, De. (2011). The political economy of underdevelopment. Routledge eBooks. 2 indexed citations
19.
Silva, De. (1988). A treatise on Buddhist philosophy, or, Abhidhamma. 1 indexed citations
20.
Silva, De, et al.. (1976). Diglossia and literacy. 13 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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