C. Phillips
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Human-Computer Interaction top 10%
- Usability and User Interface Design
Papers in
-
- Usability and User Interface Design 9
-
- Software Engineering Techniques and Practices 4
- Web Applications and Data Management 3
- Service-Oriented Architecture and Web Services 3
- Co-authors
- David Page (3 shared papers)David P. Griffin (1 shared paper)Mark D. Apperley (1 shared paper)Chris J. Scogings (1 shared paper)Susie M. Adams (2 shared papers)
- Journals
- Interacting with Computers (3 papers)NEJM AI (1 paper)
- Partner nations
- New ZealandUnited States
In The Last Decade
C. Phillips
14 papers receiving 309 citations
C. Phillips's Hit Papers
Peers
Comparison fields: 5 of 61
- Health Informatics 87
- Human-Computer Interaction 42
- Software 29
- Development 17
- Health Information Management 18
Countries citing papers authored by C. Phillips
This map shows the geographic impact of C. Phillips'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 C. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Phillips more than expected).
Fields of papers citing papers by C. Phillips
This network shows the impact of papers produced by C. Phillips. 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 C. Phillips. The network helps show where C. Phillips may publish in the future.
Co-authors
The 5 scholars most cited alongside C. Phillips, 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 | Almanac — Retrieval-Augmented Language Models for Clinical Medicine Hit paper breakdown → | 2024 | 236 |
| 2 | What makes a good user interface pattern language | 2004 | 19 |
| 3 | 2002 | 14 | |
| 4 | 2002 | 11 | |
| 5 | 1994 | 10 | |
| 6 | 2003 | 6 | |
| 7 | 2001 | 4 | |
| 8 | 2002 | 4 | |
| 9 | 1991 | 3 | |
| 10 | 2005 | 3 | |
| 11 | 2002 | 3 | |
| 12 | 2002 | 2 | |
| 13 | 2011 | 1 | |
| 14 | 2002 | 1 | |
| 15 | 2002 | 0 | |
| 16 | 2002 | 0 |
About C. Phillips
C. Phillips is a scholar working on Human-Computer Interaction, Information Systems, Development, Software and Artificial Intelligence, having authored 16 papers that have together received 317 indexed citations. Recurring topics across this work include Usability and User Interface Design (9 papers), Advanced Software Engineering Methodologies (4 papers), Software Engineering Techniques and Practices (4 papers), Web Applications and Data Management (3 papers), Model-Driven Software Engineering Techniques (3 papers), Software Engineering and Design Patterns (3 papers), Service-Oriented Architecture and Web Services (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Health Informatics (87 citations), Human-Computer Interaction (42 citations), Software (29 citations), Development (17 citations) and Health Information Management (18 citations). C. Phillips has collaborated with scholars based in New Zealand and United States. Frequent co-authors include David Page, David P. Griffin, Mark D. Apperley, Chris J. Scogings and Susie M. Adams. Their work appears in journals such as Interacting with Computers and NEJM AI.
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.