Connor J. Dalzell
- Statistics and Probability top 1%
- Analytical Chemistry top 10%
- Applied Mathematics top 10%
- Statistical and numerical algorithms 1
- Mathematical Analysis and Transform Methods 1
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- Hydrocarbon exploration and reservoir analysis 2
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- Image and Signal Denoising Methods 1
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- Microbial Community Ecology and Physiology 1
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- Atmospheric and Environmental Gas Dynamics 1
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- Advanced Materials Characterization Techniques 1
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- Advanced Numerical Analysis Techniques 1
- Co-authors
- J. O. RamsayClifford C. WaltersG. Todd VenturaChristopher M. ReddyJeffrey S. SeewaldStefan M. SievertRobert K. NelsonCarl A. Peters
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)Organic Geochemistry (2 papers)SIAM Journal on Scientific Computing (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Connor J. Dalzell
5 papers receiving 592 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Statistics and Probability 290
- Analytical Chemistry 65
- Computational Mathematics 3
- Applied Mathematics 45
- Statistics, Probability and Uncertainty 28
Countries citing papers authored by Connor J. Dalzell
This map shows the geographic impact of Connor J. Dalzell'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 Connor J. Dalzell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connor J. Dalzell more than expected).
Fields of papers citing papers by Connor J. Dalzell
This network shows the impact of papers produced by Connor J. Dalzell. 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 Connor J. Dalzell. The network helps show where Connor J. Dalzell may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Connor J. Dalzell, 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 | 2021 | 3 | |
| 2 | 2020 | 9 | |
| 3 | 1993 | 11 | |
| 4 | Some Tools for Functional Data Analysisbreakdown → | 1991 | 602 |
| 5 | 1988 | 4 |
About Connor J. Dalzell
Connor J. Dalzell is a scholar working on Applied Mathematics, Analytical Chemistry and Environmental Chemistry, having authored 5 papers that have together received 629 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (2 papers), Statistical and numerical algorithms (1 paper), Image and Signal Denoising Methods (1 paper), Microbial Community Ecology and Physiology (1 paper), Mathematical Analysis and Transform Methods (1 paper), Atmospheric and Environmental Gas Dynamics (1 paper), Advanced Materials Characterization Techniques (1 paper) and Advanced Numerical Analysis Techniques (1 paper). The work is most often cited by research in Statistics and Probability (290 citations), Analytical Chemistry (65 citations) and Computational Mathematics (3 citations). Connor J. Dalzell has collaborated with scholars based in Canada and United States. Frequent co-authors include J. O. Ramsay, Clifford C. Walters, G. Todd Ventura, Christopher M. Reddy, Jeffrey S. Seewald, Stefan M. Sievert, Robert K. Nelson, Carl A. Peters and Anthony S. Mennito. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Organic Geochemistry and SIAM Journal on Scientific Computing.
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.