Kael Rowan

22 papers receiving 664 citations

Peers

Kael Rowan
Comparison fields: 5 of 78
  • Applied Psychology 230
  • Human-Computer Interaction 167
  • Information Systems and Management 73
  • Experimental and Cognitive Psychology 138
  • Computer Science Applications 41
Replace Nilufar Baghaei with:
Nilufar Baghaei New Zealand
Erin Walker United States
Robert Hendley United Kingdom
Rieks op den Akker Netherlands
Jasmin Niess Germany
Jichen Zhu United States
Kiemute Oyibo Canada
Jan David Smeddinck Germany
Kirsikka Kaipainen Finland
Elena Agapie United States
Kael Rowan relative to Nilufar Baghaei New Zealand Nilufar Baghaei's profile →
Citations per field
00.5×1.7×
Nilufar Baghaei · 1×
Citations per year

Countries citing papers authored by Kael Rowan

Since Specialization
Citations

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

Fields of papers citing papers by Kael Rowan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20243
4 202241
5 202224
6 202142
7 202110
8 202041
9
Accessible Video Calling: Enabling Nonvisual Perception of Visual Conversation Cues
20190
10 201911
11 201938
12 201920
13 201899
14
Machine learning for Precise Targeting of a Mobile Dialectical Behavior Therapy Skills Training Application
20172
15 201634
16 201489
17 201460
18 201224
19 201068
20 20082

About Kael Rowan

Kael Rowan is a scholar working on Applied Psychology, Human-Computer Interaction, Experimental and Cognitive Psychology, Information Systems and Management and Computer Science Applications, having authored 24 papers that have together received 686 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (5 papers), Digital Mental Health Interventions (5 papers), Personal Information Management and User Behavior (4 papers), Innovative Human-Technology Interaction (4 papers), Mental Health Research Topics (4 papers), Software Engineering Research (3 papers), Child Development and Digital Technology (3 papers) and Personality Disorders and Psychopathology (2 papers). The work is most often cited by research in Applied Psychology (230 citations), Human-Computer Interaction (167 citations), Information Systems and Management (73 citations), Experimental and Cognitive Psychology (138 citations) and Computer Science Applications (41 citations). Kael Rowan has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Mary Czerwinski, Robert DeLine, Daniel McDuff, Asta Roseway, Javier Hernandez, Gloria Mark, Jina Suh, Ran Gilad-Bachrach, Paul Johns and Pablo Paredes. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Interactive Intelligent Systems, IEEE Transactions on Software Engineering, JNCI Journal of the National Cancer Institute and Computer Supported Cooperative Work (CSCW).

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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