Jaisie Sin

404 citations
36 papers · 300 · h-index 10

Impact in

Papers in

Jaisie Sin

31 papers receiving 297 citations

Peers

Jaisie Sin
Comparison fields: 5 of 54
  • Human-Computer Interaction 108
  • Neuropsychology and Physiological Psychology 14
  • Demography 82
  • Applied Psychology 22
  • Occupational Therapy 16
Replace Aqueasha M. Martin-Hammond with:
Aqueasha M. Martin-Hammond United States
Hiroyuki Umemuro Japan
Qingchuan Li China
Kimberly Tee Canada
Lin Wan Germany
Kate Vaisutis Australia
Jiamin Dai Canada
Kung Jin Lee United States
Orla Cooney Ireland
Telmo Silva Portugal
Jaisie Sin relative to Aqueasha M. Martin-Hammond United States Aqueasha M. Martin-Hammond's profile →
Citations per field
00.5×1.5×
Aqueasha M. Martin-Hammond · 1×
Citations per year

Countries citing papers authored by Jaisie Sin

Since Specialization
Citations

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

Fields of papers citing papers by Jaisie Sin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jaisie Sin, 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 Jaisie Sin Line = papers co-authored together Jaisie Sin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202154
2 202035
3 202123
4 202021
5 202215
6 202014
7 202214
8 201913
9 202113
10 202011
11 20209
12 20229
13 20237
14 20226
15 20206
16 20216
17 20195
18 20225
19 20215
20 20204

About Jaisie Sin

Jaisie Sin is a scholar working on Human-Computer Interaction, Demography, Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 300 indexed citations. Recurring topics across this work include AI in Service Interactions (23 papers), Innovative Human-Technology Interaction (18 papers), Technology Use by Older Adults (14 papers), Social Robot Interaction and HRI (10 papers), Speech and dialogue systems (6 papers), Context-Aware Activity Recognition Systems (3 papers), Sharing Economy and Platforms (2 papers) and Innovative Approaches in Technology and Social Development (2 papers). The work is most often cited by research in Human-Computer Interaction (108 citations), Neuropsychology and Physiological Psychology (14 citations), Demography (82 citations), Applied Psychology (22 citations) and Occupational Therapy (16 citations). Jaisie Sin has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Cosmin Munteanu, Bárbara Barbosa Neves, Rachel L. Franz, Martin Porcheron, Leigh Clark, Heloisa Caroline de Souza Pereira Candello, Benjamin R. Cowan, Christine Murad, Minha Lee and Stephan Schlögl. Their work appears in journals such as Human-Computer Interaction, Proceedings of the ACM on Human-Computer Interaction, Frontiers in Computer Science, TU/e Research Portal and Cronfa (Swansea University).

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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