Alexandra To
Impact in
- Human-Computer Interaction top 1%
- Innovative Human-Technology Interaction
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- Mobile Crowdsensing and Crowdsourcing
- Open Source Software Innovations
Papers in
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- Innovative Human-Technology Interaction 14
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- Mobile Crowdsensing and Crowdsourcing 5
- Co-authors
- Angela D. R. SmithIhudiya Finda Ogbonnaya-OgburuKentaro ToyamaJessica HammerMelissa ValentineDaniela RetelnyMichael S. BernsteinNegar Rahmati
- Journals
- interactions (3 papers)Proceedings of the ACM on Human-Computer Interaction (3 papers)CHI Conference on Human Factors in Computing Systems Extended Abstracts (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)
- Partner nations
- United StatesMexicoAustralia
In The Last Decade
Alexandra To
29 papers receiving 897 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Human-Computer Interaction 281
- Computer Science Applications 245
- Communication 109
- Safety Research 90
- Human Factors and Ergonomics 19
Countries citing papers authored by Alexandra To
This map shows the geographic impact of Alexandra To'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 Alexandra To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra To more than expected).
Fields of papers citing papers by Alexandra To
This network shows the impact of papers produced by Alexandra To. 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 Alexandra To. The network helps show where Alexandra To may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandra To, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 82 | |
| 11 | 2020 | 48 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 1 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 1 | |
| 18 | 2016 | 25 | |
| 19 | 2016 | 56 | |
| 20 | 2015 | 7 |
About Alexandra To
Alexandra To is a scholar working on Human-Computer Interaction, Computer Science Applications, Business and International Management, Information Systems and Management and Gender Studies, having authored 33 papers that have together received 925 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (14 papers), Digital Games and Media (9 papers), Child Development and Digital Technology (7 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Media Influence and Health (4 papers), Impact of Technology on Adolescents (4 papers), Psychological and Educational Research Studies (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Human-Computer Interaction (281 citations), Computer Science Applications (245 citations), Communication (109 citations), Safety Research (90 citations) and Human Factors and Ergonomics (19 citations). Alexandra To has collaborated with scholars based in United States, Mexico and Australia. Frequent co-authors include Angela D. R. Smith, Ihudiya Finda Ogbonnaya-Ogburu, Kentaro Toyama, Jessica Hammer, Melissa Valentine, Daniela Retelny, Michael S. Bernstein, Negar Rahmati, Tulsee Doshi and Geoff Kaufman. Their work appears in journals such as interactions, Proceedings of the ACM on Human-Computer Interaction, CHI Conference on Human Factors in Computing Systems Extended Abstracts and CHI Conference on Human Factors in Computing 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.