E. J. Redfern
- Rheumatology top 10%
- Environmental Engineering top 10%
- Urology top 5%
- Artificial Intelligence
- Surgery
- Co-authors
- Kanti V. MardiaFrancisco AlonsoColin GoodallRichard ButlerM A ChamberlainFrank McKennaStephen ClarkW. I. Forsythe
- Topics
- Forecasting Techniques and Applications (6 papers)Advanced Statistical Methods and Models (4 papers)Pelvic floor disorders treatments (3 papers)
- Journals
- Journal of Child Psychology and PsychiatryBehaviour Research and TherapyArchives of Disease in Childhood
- Partner nations
- United KingdomCyprusSpain
In The Last Decade
E. J. Redfern
17 papers receiving 352 citations
Peers
Comparison fields: 5 of 102
- Rheumatology 88
- Environmental Engineering 81
- Urology 80
- Artificial Intelligence 51
- Surgery 47
Countries citing papers authored by E. J. Redfern
This map shows the geographic impact of E. J. Redfern'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 E. J. Redfern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. J. Redfern more than expected).
Fields of papers citing papers by E. J. Redfern
This network shows the impact of papers produced by E. J. Redfern. 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 E. J. Redfern. The network helps show where E. J. Redfern may publish in the future.
Co-authorship network of co-authors of E. J. Redfern
This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Redfern. A scholar is included among the top collaborators of E. J. Redfern 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 E. J. Redfern. E. J. Redfern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 27 | |
| 3 | 22 | |
| 4 | 152 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 86 | |
| 8 | 19 | |
| 9 | MODELLING OUTLIERS AND MISSING VALUES IN TRAFFIC COUNT DATA USING THE ARIMA MODEL | 2 |
| 10 | OUTLIER DETECTION AND MISSING VALUE ESTIMATION IN TIME SERIES TRAFFIC COUNT DATA: FINAL REPORT OF SERC PROJECT GR/G23180. | 2 |
| 11 | A comparative assessment of current and new techniques for detecting outliers and estimating missing values in transport related time series data | 14 |
| 12 | Application of Outlier Detection and Missing Value Estimation Techniques to Various Forms of TrafficCount Data | 2 |
| 13 | Outlier detection and missing value estimation in time series traffic count data | 9 |
| 14 | Detection of Outliers in Time Series. | 1 |
| 15 | 25 | |
| 16 | Introduction to Number Theory With Computing | 6 |
| 17 | 8 |
About E. J. Redfern
E. J. Redfern is a scholar working on Theoretical Computer Science, Statistics and Probability and Management Science and Operations Research, having authored 17 papers that have together received 391 indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (6 papers), Advanced Statistical Methods and Models (4 papers) and Pelvic floor disorders treatments (3 papers). The work is most often cited by research in Urology (80 citations), Complementary and Manual Therapy (22 citations) and Rheumatology (88 citations). E. J. Redfern has collaborated with scholars based in United Kingdom, Cyprus and Spain. Frequent co-authors include Kanti V. Mardia, Francisco Alonso, Colin Goodall, Richard Butler, M A Chamberlain, Frank McKenna, Stephen Clark, W. I. Forsythe, Miles Tight and Susan Watson. Their work appears in journals such as Journal of Child Psychology and Psychiatry, Behaviour Research and Therapy and Archives of Disease in Childhood.
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.