P. S. Brown
Impact in
- Software top 5%
- Spreadsheets and End-User Computing
- Computer Science Applications top 10%
- Teaching and Learning Programming
Papers in
-
- Technology Adoption and User Behaviour 2
- Software 2
- Spreadsheets and End-User Computing 2
- Co-authors
- John D. Gould (2 shared papers)Pamela R. Young (1 shared paper)Klara Brunnhuber (1 shared paper)Julie Glanville (1 shared paper)Carol Forbes (1 shared paper)Sara Twaddle (1 shared paper)Kalipso Chalkidou (1 shared paper)Iain Chalmers (1 shared paper)
- Journals
- Medical History (2 papers)ACM Transactions on Information Systems (1 paper)BMJ (1 paper)Journal of the Royal Statistical Society Series D (The Statistician) (1 paper)Proceedings of the Human Factors Society Annual Meeting (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
P. S. Brown
7 papers receiving 394 citations
Peers
Comparison fields: 5 of 119
- Software 106
- Computer Science Applications 30
- Statistics and Probability 34
- Developmental and Educational Psychology 28
- Information Systems and Management 15
Countries citing papers authored by P. S. Brown
This map shows the geographic impact of P. S. Brown'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 P. S. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. S. Brown more than expected).
Fields of papers citing papers by P. S. Brown
This network shows the impact of papers produced by P. S. Brown. 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 P. S. Brown. The network helps show where P. S. Brown may publish in the future.
Co-authors
The 11 scholars most cited alongside P. S. Brown, 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 | 2006 | 279 | |
| 2 | 1987 | 126 | |
| 3 | 1976 | 14 | |
| 4 | 1986 | 5 | |
| 5 | 1991 | 4 | |
| 6 | DELIVERY OF TRANSPORTATION-RELATED PROGRAMS THROUGH INTERACTIVE TELECOMMUNICATIONS, DISTANCE LEARNING, AND DOWNLINK BROADCASTS | 2001 | 1 |
| 7 | 1981 | 1 |
About P. S. Brown
P. S. Brown is a scholar working on Information Systems and Management, Software, Cardiology and Cardiovascular Medicine, Management Information Systems and Complementary and Manual Therapy, having authored 7 papers that have together received 430 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (2 papers), Spreadsheets and End-User Computing (2 papers), Hormonal Regulation and Hypertension (1 paper), Medical History and Innovations (1 paper), Clusterin in disease pathology (1 paper), Therapeutic Uses of Natural Elements (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Complementary and Alternative Medicine Studies (1 paper). The work is most often cited by research in Software (106 citations), Computer Science Applications (30 citations), Statistics and Probability (34 citations), Developmental and Educational Psychology (28 citations) and Information Systems and Management (15 citations). P. S. Brown has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include John D. Gould, Pamela R. Young, Klara Brunnhuber, Julie Glanville, Carol Forbes, Sara Twaddle, Kalipso Chalkidou, Iain Chalmers, Mark Fenton and Maeve K. Lalor. Their work appears in journals such as Medical History, ACM Transactions on Information Systems, BMJ, Journal of the Royal Statistical Society Series D (The Statistician) and Proceedings of the Human Factors 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.