NT Longford
- Statistics and Probability top 5%
- Global and Planetary Change
- Ecology
- Economics and Econometrics
- Genetics
- Co-authors
- Yong J. LeeM. C. JonesSimon N. WoodTim ColeAdrian BowmanR. A. KemptonK. E. BasfordR. Mead
- Topics
- Data-Driven Disease Surveillance (1 paper)Census and Population Estimation (1 paper)Hermeneutics and Narrative Identity (1 paper)
- Cited by
- Statistics and ProbabilityGlobal and Planetary ChangeStatistics, Probability and Uncertainty
- Journals
- LSHTM Research Online (London School of Hygiene and Tropical Medicine)White Rose Research Online (University of Leeds, The University of Sheffield, University of York)UCL Discovery (University College London)
In The Last Decade
NT Longford
4 papers receiving 275 citations
Peers
Comparison fields: 5 of 113
- Statistics and Probability 64
- Global and Planetary Change 38
- Ecology 29
- Economics and Econometrics 25
- Genetics 24
Countries citing papers authored by NT Longford
This map shows the geographic impact of NT Longford'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 NT Longford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NT Longford more than expected).
Fields of papers citing papers by NT Longford
This network shows the impact of papers produced by NT Longford. 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 NT Longford. The network helps show where NT Longford may publish in the future.
Co-authorship network of co-authors of NT Longford
This figure shows the co-authorship network connecting the top 25 collaborators of NT Longford. A scholar is included among the top collaborators of NT Longford 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 NT Longford. NT Longford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Generalized additive models for location, scale and shape - Discussion | 218 |
| 2 | Multiple-bias modelling for analysis of observational data - Discussion | 5 |
| 3 | Dealing with incomplete data in questionnaires of food and alcohol consumption | 4 |
| 4 | The analysis of designed experiments and longitudinal data by using smoothing splines - Discussion | 53 |
About NT Longford
NT Longford is a scholar working on Statistics and Probability, Philosophy and General Health Professions, having authored 4 papers that have together received 280 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (1 paper), Census and Population Estimation (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Statistics and Probability (64 citations), Global and Planetary Change (38 citations) and Statistics, Probability and Uncertainty (12 citations). Frequent co-authors include Yong J. Lee, M. C. Jones, Simon N. Wood, Tim Cole, Adrian Bowman, R. A. Kempton, K. E. Basford, R. Mead, Geert Molenberghs and B. Engel. Their work appears in journals such as LSHTM Research Online (London School of Hygiene and Tropical Medicine), White Rose Research Online (University of Leeds, The University of Sheffield, University of York) and UCL Discovery (University College London).
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.