B. J. N. Blight
- Statistics and Probability top 5%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Ecology
- Molecular Biology
- Co-authors
- N. T. J. BaileyLyman OttA. J. ScottP. V. RaoF D PooleyA R GibbsD M GriffithsMark Stephens
- Topics
- Statistical Distribution Estimation and Applications (7 papers)Advanced Statistical Methods and Models (3 papers)Control Systems and Identification (3 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United KingdomUnited States
In The Last Decade
B. J. N. Blight
19 papers receiving 382 citations
Peers
Comparison fields: 5 of 129
- Statistics and Probability 100
- Pulmonary and Respiratory Medicine 56
- Artificial Intelligence 54
- Ecology 45
- Molecular Biology 38
Countries citing papers authored by B. J. N. Blight
This map shows the geographic impact of B. J. N. Blight'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 B. J. N. Blight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. J. N. Blight more than expected).
Fields of papers citing papers by B. J. N. Blight
This network shows the impact of papers produced by B. J. N. Blight. 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 B. J. N. Blight. The network helps show where B. J. N. Blight may publish in the future.
Co-authorship network of co-authors of B. J. N. Blight
This figure shows the co-authorship network connecting the top 25 collaborators of B. J. N. Blight. A scholar is included among the top collaborators of B. J. N. Blight 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 B. J. N. Blight. B. J. N. Blight is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 38 | |
| 3 | 178 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 54 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 14 | |
| 12 | 33 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 20 | |
| 19 | 1 |
About B. J. N. Blight
B. J. N. Blight is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 19 papers that have together received 435 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (7 papers), Advanced Statistical Methods and Models (3 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Statistics and Probability (100 citations), Statistics, Probability and Uncertainty (37 citations) and Management Science and Operations Research (38 citations). B. J. N. Blight has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include N. T. J. Bailey, Lyman Ott, A. J. Scott, P. V. Rao, F D Pooley, A R Gibbs, D M Griffiths, Mark Stephens, P. T. Lascelles and J. C. Wagner. Their work appears in journals such as Technometrics, Biometrics and Environmental Health Perspectives.
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.