John P. Chin
- Human-Computer Interaction top 1%
- Information Systems top 5%
- Information Systems and Management top 2%
- Computer Vision and Pattern Recognition top 5%
- Sociology and Political Science top 10%
- Topics
- Personal Information Management and User Behavior (2 papers)Digital Communication and Language (2 papers)Usability and User Interface Design (2 papers)
- Journals
- Behaviour and Information TechnologyProceedings of the Human Factors Society Annual MeetingProceedings of the Human Factors and Ergonomics Society Annual Meeting
- Partner nations
- United StatesGermany
In The Last Decade
John P. Chin
7 papers receiving 939 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Human-Computer Interaction 391
- Information Systems 227
- Information Systems and Management 214
- Computer Vision and Pattern Recognition 192
- Sociology and Political Science 156
Countries citing papers authored by John P. Chin
This map shows the geographic impact of John P. Chin'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 John P. Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Chin more than expected).
Fields of papers citing papers by John P. Chin
This network shows the impact of papers produced by John P. Chin. 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 John P. Chin. The network helps show where John P. Chin may publish in the future.
Co-authorship network of co-authors of John P. Chin
This figure shows the co-authorship network connecting the top 25 collaborators of John P. Chin. A scholar is included among the top collaborators of John P. Chin 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 John P. Chin. John P. Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 55 | |
| 7 | Development of an instrument measuring user satisfaction of the human-computer interfacebreakdown → | 984 |
| 8 | Personality and Cognitive Factors Influencing Computer Programming Performance. | 3 |
About John P. Chin
John P. Chin is a scholar working on Human-Computer Interaction, General Decision Sciences and Information Systems and Management, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (2 papers), Digital Communication and Language (2 papers) and Usability and User Interface Design (2 papers). The work is most often cited by research in Human-Computer Interaction (391 citations), Information Systems and Management (214 citations) and Health Information Management (51 citations). John P. Chin has collaborated with scholars based in United States and Germany. Frequent co-authors include Virginia A. Diehl, Kent L. Norman, Steven G. Zecker and Mark W. Conley. Their work appears in journals such as Behaviour and Information Technology, Proceedings of the Human Factors Society Annual Meeting and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
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.