Danula Hettiachchi

27 papers receiving 300 citations

Peers

Danula Hettiachchi
Comparison fields: 5 of 69
  • Computer Science Applications 88
  • Health Informatics 9
  • Human-Computer Interaction 38
  • Information Systems and Management 32
  • Safety Research 37
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Mitchell Gordon United States
Athanasios Mazarakis Germany
Ian Arawjo United States
Thiemo Wambsganß Switzerland
Tom Hope United States
Nan-Chen Chen United States
Yufan Guo United States
Juho Kahila Finland
Samantha Thelijjagoda Sri Lanka
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Citations per year

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-authors

The 25 scholars most cited alongside Danula Hettiachchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danula Hettiachchi Line = papers co-authored together Danula Hettiachchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201952
2 202239
3 202031
4 201929
5 202022
6 202318
7 201915
8 202113
9 202012
10 202111
11 202410
12 20237
13 20217
14 20245
15 20204
16 20234
17 20224
18 20254
19 20253
20 20193

About Danula Hettiachchi

Danula Hettiachchi is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems and Management, Cognitive Neuroscience and Transportation, having authored 30 papers that have together received 305 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (11 papers), Personal Information Management and User Behavior (6 papers), Urban Transport and Accessibility (3 papers), Auction Theory and Applications (3 papers), Human Mobility and Location-Based Analysis (3 papers), EEG and Brain-Computer Interfaces (3 papers), Innovative Human-Technology Interaction (3 papers) and Open Source Software Innovations (3 papers). The work is most often cited by research in Computer Science Applications (88 citations), Health Informatics (9 citations), Human-Computer Interaction (38 citations), Information Systems and Management (32 citations) and Safety Research (37 citations). Danula Hettiachchi has collaborated with scholars based in Australia, Finland and United States. Frequent co-authors include Jorge Gonçalves, Vassilis Kostakos, Niels van Berkel, Simo Hosio, Ryan Kelly, Zhanna Sarsenbayeva, Tilman Dingler, Eduardo Velloso, Matthew Lease and Mike Schaekermann. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Proceedings of the ACM on Human-Computer Interaction, International Journal of Human-Computer Studies, ACM Computing Surveys and Journal of the Association for Information Systems.

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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