JJ Cadiz
- Information Systems and Management top 1%
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Co-authors
- Gavin JanckeEdward CutrellDaniel C. RobbinsRaman SarinSusan DumaisAnoop GuptaGina VenoliaLaura Dabbish
- Topics
- Personal Information Management and User Behavior (7 papers)Usability and User Interface Design (7 papers)Innovative Human-Technology Interaction (3 papers)
- Cited by
- Information Systems and ManagementHuman-Computer InteractionComputer Vision and Pattern Recognition
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
JJ Cadiz
11 papers receiving 564 citations
Peers
Comparison fields: 5 of 50
- Information Systems and Management 313
- Human-Computer Interaction 213
- Computer Vision and Pattern Recognition 200
- Information Systems 197
- Artificial Intelligence 128
Countries citing papers authored by JJ Cadiz
This map shows the geographic impact of JJ Cadiz'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 JJ Cadiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JJ Cadiz more than expected).
Fields of papers citing papers by JJ Cadiz
This network shows the impact of papers produced by JJ Cadiz. 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 JJ Cadiz. The network helps show where JJ Cadiz may publish in the future.
Co-authorship network of co-authors of JJ Cadiz
This figure shows the co-authorship network connecting the top 25 collaborators of JJ Cadiz. A scholar is included among the top collaborators of JJ Cadiz 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 JJ Cadiz. JJ Cadiz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | Experiences with the Design, Fielding, and Evaluation of a Real-Time Communications Agent | 2 |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 274 | |
| 7 | 4 | |
| 8 | 167 | |
| 9 | Privacy Interfaces for Collaboration | 12 |
| 10 | Sideshow: Providing Peripheral Awareness of Important Information | 31 |
| 11 | Supporting Email Workflow | 81 |
About JJ Cadiz
JJ Cadiz is a scholar working on Human-Computer Interaction, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 610 indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (7 papers), Usability and User Interface Design (7 papers) and Innovative Human-Technology Interaction (3 papers). The work is most often cited by research in Information Systems and Management (313 citations), Human-Computer Interaction (213 citations) and Computer Vision and Pattern Recognition (200 citations). JJ Cadiz has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gavin Jancke, Edward Cutrell, Daniel C. Robbins, Raman Sarin, Susan Dumais, Anoop Gupta, Gina Venolia, Laura Dabbish, Yong Rui and Alex Colburn.
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.