N. C. Weber
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Neurology top 10%
- Intracranial Aneurysms: Treatment and Complications
- Neurological Disease Mechanisms and Treatments
- Vascular Malformations Diagnosis and Treatment
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Statistical Methods and Inference 15
- Advanced Statistical Methods and Models 12
- Finance 14
- Stochastic processes and financial applications 8
- Financial Risk and Volatility Modeling 8
- Co-authors
- David I. WartonMichael K. MorganIan SpenceLali H.S. SekhonVasilis SarafidisIan H. JohnstonGarth TarrSamuel Müller
In The Last Decade
N. C. Weber
59 papers receiving 882 citations
Peers
Comparison fields: 5 of 123
- Statistics and Probability 176
- Neurology 114
- Nature and Landscape Conservation 151
- Neurology 144
- Finance 76
Countries citing papers authored by N. C. Weber
This map shows the geographic impact of N. C. Weber'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 N. C. Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. C. Weber more than expected).
Fields of papers citing papers by N. C. Weber
This network shows the impact of papers produced by N. C. Weber. 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 N. C. Weber. The network helps show where N. C. Weber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N. C. Weber, 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 | 2022 | 0 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 2 | |
| 4 | 2020 | 2 | |
| 5 | 2011 | 11 | |
| 6 | Quantifying the uncertainty in digital soil class maps developed using model-based approaches | 2010 | 1 |
| 7 | 2009 | 1 | |
| 8 | 2007 | 0 | |
| 9 | 2006 | 2 | |
| 10 | 1998 | 7 | |
| 11 | 1997 | 51 | |
| 12 | 1995 | 13 | |
| 13 | 1995 | 1 | |
| 14 | 1994 | 3 | |
| 15 | 1993 | 74 | |
| 16 | 1993 | 6 | |
| 17 | 1986 | 5 | |
| 18 | 1983 | 3 | |
| 19 | 1983 | 17 | |
| 20 | 1980 | 4 |
About N. C. Weber
N. C. Weber is a scholar working on Statistics and Probability, Finance, Management Science and Operations Research, Neurology and Mathematical Physics, having authored 66 papers that have together received 948 indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (12 papers), Probability and Risk Models (11 papers), Stochastic processes and financial applications (8 papers), Neurological Disease Mechanisms and Treatments (8 papers), Financial Risk and Volatility Modeling (8 papers), Bayesian Methods and Mixture Models (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Statistics and Probability (176 citations), Neurology (114 citations), Nature and Landscape Conservation (151 citations), Neurology (144 citations) and Finance (76 citations). N. C. Weber has collaborated with scholars based in Australia, Canada and Russia. Frequent co-authors include David I. Warton, Michael K. Morgan, Ian Spence, Lali H.S. Sekhon, Vasilis Sarafidis, Ian H. Johnston, Garth Tarr, Samuel Müller, Jean-Paul Macher and Philip Kokic. Their work appears in journals such as Journal of Applied Probability, Neurosurgery, Mathematical Proceedings of the Cambridge Philosophical Society, Journal of Statistical Computation and Simulation and Stroke.
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.