Alex Sciuto
Impact in
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
- Persona Design and Applications
- Artificial Intelligence top 10%
- AI in Service Interactions
- Speech and dialogue systems
Papers in
-
- Innovative Human-Technology Interaction 2
-
- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Jodi Forlizzi (2 shared papers)Jason Hong (4 shared papers)Rebecca Gulotta (1 shared paper)Aisling Kelliher (1 shared paper)Zichen Liu (1 shared paper)Siyan Zhao (1 shared paper)Laura Dabbish (1 shared paper)Steven P. Dow (1 shared paper)
- Journals
- Symposium On Usable Privacy and Security (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (2 papers)
- Partner nations
- United States
In The Last Decade
Alex Sciuto
5 papers receiving 370 citations
Alex Sciuto's Hit Papers
Peers
Comparison fields: 5 of 58
- Human-Computer Interaction 134
- Artificial Intelligence 202
- Social Psychology 111
- Applied Psychology 20
- Information Systems and Management 29
Countries citing papers authored by Alex Sciuto
This map shows the geographic impact of Alex Sciuto'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 Alex Sciuto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Sciuto more than expected).
Fields of papers citing papers by Alex Sciuto
This network shows the impact of papers produced by Alex Sciuto. 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 Alex Sciuto. The network helps show where Alex Sciuto may publish in the future.
Co-authors
The 9 scholars most cited alongside Alex Sciuto, 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 | "Hey Alexa, What's Up?" Hit paper breakdown → | 2018 | 283 |
| 2 | 2015 | 52 | |
| 3 | 2017 | 30 | |
| 4 | Share and Share Alike? An Exploration of Secure Behaviors in Romantic Relationships | 2018 | 12 |
| 5 | 2017 | 6 | |
| 6 | 2021 | 0 |
About Alex Sciuto
Alex Sciuto is a scholar working on Human-Computer Interaction, Computer Science Applications, Transportation, Geography, Planning and Development and Information Systems and Management, having authored 6 papers that have together received 383 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (2 papers), Innovative Human-Technology Interaction (2 papers), Human Mobility and Location-Based Analysis (2 papers), Personal Information Management and User Behavior (1 paper), AI in Service Interactions (1 paper), Data-Driven Disease Surveillance (1 paper), Sharing Economy and Platforms (1 paper) and Geographic Information Systems Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (134 citations), Artificial Intelligence (202 citations), Social Psychology (111 citations), Applied Psychology (20 citations) and Information Systems and Management (29 citations). Alex Sciuto has collaborated with scholars based in United States. Frequent co-authors include Jodi Forlizzi, Jason Hong, Rebecca Gulotta, Aisling Kelliher, Zichen Liu, Siyan Zhao, Laura Dabbish, Steven P. Dow and Jessica Hammer. Their work appears in journals such as Symposium On Usable Privacy and Security and Proceedings of the International AAAI Conference on Web and Social Media.
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.