E. J. Redfern

17 papers receiving 352 citations

Peers

E. J. Redfern
Comparison fields: 5 of 97
  • Urology 75
  • Complementary and Manual Therapy 19
  • Environmental Engineering 80
  • Rheumatology 65
  • Computational Mathematics 2
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Countries citing papers authored by E. J. Redfern

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 20 scholars most cited alongside E. J. Redfern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. J. Redfern Line = papers co-authored together E. J. Redfern links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1998152
2 199386
3 199927
4 199025
5 199822
6 199319
7
A comparative assessment of current and new techniques for detecting outliers and estimating missing values in transport related time series data
199314
8
Outlier detection and missing value estimation in time series traffic count data
19939
9 19878
10
Introduction to Number Theory With Computing
19896
11 19986
12 19955
13 20005
14
Application of Outlier Detection and Missing Value Estimation Techniques to Various Forms of TrafficCount Data
19932
15
MODELLING OUTLIERS AND MISSING VALUES IN TRAFFIC COUNT DATA USING THE ARIMA MODEL
19932
16
OUTLIER DETECTION AND MISSING VALUE ESTIMATION IN TIME SERIES TRAFFIC COUNT DATA: FINAL REPORT OF SERC PROJECT GR/G23180.
19932
17
Detection of Outliers in Time Series.
19911

About E. J. Redfern

E. J. Redfern is a scholar working on Management Science and Operations Research, Statistics and Probability, Artificial Intelligence, Urology and Finance, 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), Anomaly Detection Techniques and Applications (3 papers), Urinary Bladder and Prostate Research (2 papers), Genetic and phenotypic traits in livestock (2 papers), Financial Risk and Volatility Modeling (2 papers), Traffic Prediction and Management Techniques (2 papers) and Reproductive Physiology in Livestock (2 papers). The work is most often cited by research in Urology (75 citations), Complementary and Manual Therapy (19 citations), Environmental Engineering (80 citations), Rheumatology (65 citations) and Computational Mathematics (2 citations). E. J. Redfern has collaborated with scholars based in United Kingdom, Spain and Bulgaria. Frequent co-authors include Kanti V. Mardia, Colin Goodall, Francisco Alonso, Richard Butler, Frank McKenna, M A Chamberlain, W. I. Forsythe, Graham Roberts, Stephen Clark and Susan Watson. Their work appears in journals such as Animal Science, Journal of Child Psychology and Psychiatry, Archives of Disease in Childhood, Lara D. Veeken and Behaviour Research and Therapy.

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.

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