Celeste Lyn Paul
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Artificial Intelligence
- Human-Computer Interaction top 10%
- Social Psychology
- Co-authors
- Anita KomlódiRuss BurtnerWayne G. LuttersJosiah DykstraDustin ArendtChristine PiatkoKristin CookCorey K. Fallon
- Topics
- Data Visualization and Analytics (7 papers)Personal Information Management and User Behavior (3 papers)Usability and User Interface Design (3 papers)
- Cited by
- Human-Computer InteractionInformation Systems and ManagementComputer Vision and Pattern Recognition
- Journals
- International Journal of Human-Computer StudiesIEEE Computer Graphics and ApplicationsInformation Visualization
- Partner nations
- United States
In The Last Decade
Celeste Lyn Paul
18 papers receiving 191 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 67
- Information Systems 59
- Artificial Intelligence 45
- Human-Computer Interaction 38
- Social Psychology 35
Countries citing papers authored by Celeste Lyn Paul
This map shows the geographic impact of Celeste Lyn Paul'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 Celeste Lyn Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celeste Lyn Paul more than expected).
Fields of papers citing papers by Celeste Lyn Paul
This network shows the impact of papers produced by Celeste Lyn Paul. 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 Celeste Lyn Paul. The network helps show where Celeste Lyn Paul may publish in the future.
Co-authorship network of co-authors of Celeste Lyn Paul
This figure shows the co-authorship network connecting the top 25 collaborators of Celeste Lyn Paul. A scholar is included among the top collaborators of Celeste Lyn Paul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Celeste Lyn Paul. Celeste Lyn Paul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | Cyber Operations Stress Survey (COSS): Studying fatigue, frustration, and cognitive workload in cybersecurity operations | 15 |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 27 | |
| 11 | 3 | |
| 12 | 24 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 18 | |
| 17 | 27 | |
| 18 | 5 |
About Celeste Lyn Paul
Celeste Lyn Paul is a scholar working on Human-Computer Interaction, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 203 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Personal Information Management and User Behavior (3 papers) and Usability and User Interface Design (3 papers). The work is most often cited by research in Human-Computer Interaction (38 citations), Information Systems and Management (31 citations) and Computer Vision and Pattern Recognition (67 citations). Celeste Lyn Paul has collaborated with scholars based in United States. Frequent co-authors include Anita Komlódi, Russ Burtner, Wayne G. Lutters, Josiah Dykstra, Dustin Arendt, Christine Piatko, Kristin Cook, Corey K. Fallon, Robert S. Gutzwiller and Cleotilde González. Their work appears in journals such as International Journal of Human-Computer Studies, IEEE Computer Graphics and Applications and Information Visualization.
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.