Danula Hettiachchi

539 total citations
28 papers, 273 citations indexed

About

Danula Hettiachchi is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Danula Hettiachchi has authored 28 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Science Applications, 10 papers in Artificial Intelligence and 7 papers in Information Systems and Management. Recurrent topics in Danula Hettiachchi's work include Mobile Crowdsensing and Crowdsourcing (11 papers), Personal Information Management and User Behavior (6 papers) and Open Source Software Innovations (3 papers). Danula Hettiachchi is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (11 papers), Personal Information Management and User Behavior (6 papers) and Open Source Software Innovations (3 papers). Danula Hettiachchi collaborates with scholars based in Australia, Finland and United States. Danula Hettiachchi's co-authors include Jorge Gonçalves, Vassilis Kostakos, Niels van Berkel, Ryan Kelly, Simo Hosio, Zhanna Sarsenbayeva, Tilman Dingler, Matthew Lease, Mike Schaekermann and Eduardo Velloso and has published in prestigious journals such as ACM Computing Surveys, Journal of the Association for Information Systems and International Journal of Human-Computer Studies.

In The Last Decade

Danula Hettiachchi

26 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danula Hettiachchi Australia 10 109 87 65 37 36 28 273
Mitchell Gordon United States 11 185 1.7× 140 1.6× 66 1.0× 46 1.2× 114 3.2× 23 467
Martin Schuessler Germany 6 164 1.5× 40 0.5× 47 0.7× 117 3.2× 66 1.8× 10 330
Samir Passi United States 6 90 0.8× 45 0.5× 64 1.0× 128 3.5× 36 1.0× 9 283
Hope Schroeder United States 4 114 1.0× 21 0.2× 55 0.8× 58 1.6× 33 0.9× 10 347
Thiemo Wambsganß Switzerland 12 250 2.3× 112 1.3× 24 0.4× 21 0.6× 34 0.9× 48 458
Memo Akten United Kingdom 3 125 1.1× 24 0.3× 55 0.8× 62 1.7× 47 1.3× 4 370
Benjamin D. Nye United States 10 264 2.4× 183 2.1× 51 0.8× 19 0.5× 20 0.6× 34 505
Robert Mahari United States 3 108 1.0× 21 0.2× 49 0.8× 58 1.6× 28 0.8× 6 328
Sayamindu Dasgupta United States 12 40 0.4× 152 1.7× 45 0.7× 17 0.5× 65 1.8× 25 297
Yufan Guo United States 4 347 3.2× 33 0.4× 99 1.5× 18 0.5× 53 1.5× 7 460

Countries citing papers authored by Danula Hettiachchi

Since Specialization
Citations

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

Fields of papers citing papers by Danula Hettiachchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danula Hettiachchi

This figure shows the co-authorship network connecting the top 25 collaborators of Danula Hettiachchi. A scholar is included among the top collaborators of Danula Hettiachchi 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 Danula Hettiachchi. Danula Hettiachchi 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.
Ren, Yongli, et al.. (2025). PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. ArXiv.org. 2690–2694. 1 indexed citations
2.
Hettiachchi, Danula, et al.. (2025). Watch Out! E-scooter Coming Through!: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders' Ego-centric Views. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(1). 1–23.
3.
Hettiachchi, Danula, et al.. (2025). SenseSeek Dataset: Multimodal Sensing to Study Information Seeking Behaviors. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(3). 1–29. 1 indexed citations
4.
5.
Hettiachchi, Danula, et al.. (2024). Characterizing Information Seeking Processes with Multiple Physiological Signals. arXiv (Cornell University). 1006–1017. 7 indexed citations
6.
Sokol, Kacper, et al.. (2024). Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations. International Journal of Human-Computer Studies. 193. 103376–103376. 4 indexed citations
7.
Sarsenbayeva, Zhanna, Niels van Berkel, Danula Hettiachchi, et al.. (2023). Mapping 20 years of accessibility research in HCI: A co-word analysis. International Journal of Human-Computer Studies. 175. 103018–103018. 13 indexed citations
8.
Spina, Damiano, et al.. (2023). Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. arXiv (Cornell University). 1971–1975. 6 indexed citations
9.
Hettiachchi, Danula, et al.. (2023). How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 11(1). 38–50. 2 indexed citations
10.
Spina, Damiano, et al.. (2023). Towards Detecting Tonic Information Processing Activities with Physiological Data. 1–5. 1 indexed citations
11.
Hettiachchi, Danula, et al.. (2023). Combining Worker Factors for Heterogeneous Crowd Task Assignment. 3794–3805. 2 indexed citations
12.
Savage, Saiph, Niels van Berkel, Dmitry Ustalov, et al.. (2022). REGROW: Reimagining Global Crowdsourcing for Better Human-AI Collaboration. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–7. 3 indexed citations
13.
Hettiachchi, Danula, Vassilis Kostakos, & Jorge Gonçalves. (2022). A Survey on Task Assignment in Crowdsourcing. ACM Computing Surveys. 55(3). 1–35. 38 indexed citations
14.
Hettiachchi, Danula, et al.. (2021). Team Dynamics in Hospital Workflows: An Exploratory Study of a Smartphone Task Manager. JMIR Medical Informatics. 9(8). e28245–e28245. 1 indexed citations
15.
Hettiachchi, Danula, et al.. (2021). The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help. arXiv (Cornell University). 13 indexed citations
16.
Hettiachchi, Danula, Mark Sanderson, Jorge Gonçalves, et al.. (2021). Investigating and Mitigating Biases in Crowdsourced Data. 331–334. 10 indexed citations
17.
Hettiachchi, Danula, Zhanna Sarsenbayeva, Niels van Berkel, et al.. (2020). "Hi! I am the Crowd Tasker" Crowdsourcing through Digital Voice Assistants. Minerva Access (University of Melbourne). 1–14. 12 indexed citations
18.
Hettiachchi, Danula & Jorge Gonçalves. (2019). Towards Effective Crowd-Powered Online Content Moderation. 342–346. 15 indexed citations
19.
Hettiachchi, Danula, et al.. (2019). Enabling Creative Crowd Work through Smart Speakers. Zenodo (CERN European Organization for Nuclear Research). 1–5. 3 indexed citations
20.
Berkel, Niels van, et al.. (2019). Crowdsourcing Perceptions of Fair Predictors for Machine Learning. Proceedings of the ACM on Human-Computer Interaction. 3(CSCW). 1–21. 51 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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