Tharindu Kaluarachchi

601 total citations · 1 hit paper
11 papers, 320 citations indexed

About

Tharindu Kaluarachchi is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Tharindu Kaluarachchi has authored 11 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Human-Computer Interaction and 4 papers in Artificial Intelligence. Recurrent topics in Tharindu Kaluarachchi's work include Tactile and Sensory Interactions (4 papers), Emotion and Mood Recognition (2 papers) and Gaze Tracking and Assistive Technology (2 papers). Tharindu Kaluarachchi is often cited by papers focused on Tactile and Sensory Interactions (4 papers), Emotion and Mood Recognition (2 papers) and Gaze Tracking and Assistive Technology (2 papers). Tharindu Kaluarachchi collaborates with scholars based in New Zealand, Singapore and Australia. Tharindu Kaluarachchi's co-authors include Suranga Nanayakkara, Shamane Siriwardhana, Elliott Wen, Rajib Rana, Mark Billinghurst, Sachith Seneviratne, Anusha Withana, Denys J. C. Matthies, Robert W. Lindeman and James Lin and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Human-Computer Interaction.

In The Last Decade

Tharindu Kaluarachchi

11 papers receiving 307 citations

Hit Papers

Improving the Domain Adaptation of Retrieval Augmented Ge... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tharindu Kaluarachchi New Zealand 5 164 102 54 43 34 11 320
Geng Tu China 11 246 1.5× 164 1.6× 58 1.1× 32 0.7× 49 1.4× 21 408
Shamane Siriwardhana New Zealand 5 138 0.8× 71 0.7× 46 0.9× 34 0.8× 22 0.6× 7 249
Shazia Afzal United Kingdom 9 155 0.9× 69 0.7× 49 0.9× 24 0.6× 30 0.9× 15 355
Félix Fuentes-Hurtado Spain 8 73 0.4× 70 0.7× 68 1.3× 87 2.0× 42 1.2× 15 309
Erdenebileg Batbaatar South Korea 8 181 1.1× 66 0.6× 45 0.8× 19 0.4× 22 0.6× 16 325
Alia Karim Abdul Hassan Iraq 9 115 0.7× 60 0.6× 101 1.9× 16 0.4× 21 0.6× 54 272
Kinjal Adhvaryu India 5 301 1.8× 88 0.9× 83 1.5× 16 0.4× 42 1.2× 11 443
Elliott Wen New Zealand 8 113 0.7× 35 0.3× 37 0.7× 31 0.7× 14 0.4× 30 270
Jiachen Du China 15 636 3.9× 68 0.7× 75 1.4× 51 1.2× 29 0.9× 25 755
Dewi Yanti Liliana Indonesia 10 90 0.5× 192 1.9× 206 3.8× 42 1.0× 27 0.8× 47 374

Countries citing papers authored by Tharindu Kaluarachchi

Since Specialization
Citations

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

Fields of papers citing papers by Tharindu Kaluarachchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tharindu Kaluarachchi

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

All Works

11 of 11 papers shown
1.
Siriwardhana, Shamane, et al.. (2023). Can AI Models Summarize Your Diary Entries? Investigating Utility of Abstractive Summarization for Autobiographical Text. International Journal of Human-Computer Interaction. 40(24). 8655–8673. 3 indexed citations
2.
Kaluarachchi, Tharindu, Shamane Siriwardhana, Elliott Wen, & Suranga Nanayakkara. (2023). A Corneal Surface Reflections-Based Intelligent System for Lifelogging Applications. International Journal of Human-Computer Interaction. 39(9). 1963–1980. 1 indexed citations
3.
Kaluarachchi, Tharindu, et al.. (2023). LightSense - Long Distance. 1–2. 1 indexed citations
4.
Siriwardhana, Shamane, et al.. (2023). Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering. Transactions of the Association for Computational Linguistics. 11. 1–17. 113 indexed citations breakdown →
5.
Seneviratne, Sachith, et al.. (2022). SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning. IEEE Access. 10. 18105–18120. 37 indexed citations
6.
Wen, Elliott, Tharindu Kaluarachchi, Shamane Siriwardhana, et al.. (2022). VRhook: A Data Collection Tool for VR Motion Sickness Research. 1–9. 7 indexed citations
7.
Kaluarachchi, Tharindu, et al.. (2021). A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning. Sensors. 21(7). 2514–2514. 62 indexed citations
9.
Siriwardhana, Shamane, Tharindu Kaluarachchi, Mark Billinghurst, & Suranga Nanayakkara. (2020). Multimodal Emotion Recognition With Transformer-Based Self Supervised Feature Fusion. IEEE Access. 8. 176274–176285. 89 indexed citations
10.
Withana, Anusha, et al.. (2020). waveSense. 1–7. 1 indexed citations
11.
Withana, Anusha, et al.. (2016). waveSense. 139–140. 3 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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