Connor J. Dalzell
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Analytical Chemistry top 10%
- Applied Mathematics top 10%
- Co-authors
- J. O. RamsayClifford C. WaltersG. Todd VenturaChristopher M. ReddyJeffrey S. SeewaldStefan M. SievertRobert K. NelsonCarl A. Peters
- Topics
- Hydrocarbon exploration and reservoir analysis (2 papers)Statistical and numerical algorithms (1 paper)Image and Signal Denoising Methods (1 paper)
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology)Organic GeochemistrySIAM Journal on Scientific Computing
- 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
- Artificial Intelligence 125
- Control and Systems Engineering 68
- Analytical Chemistry 65
- Applied Mathematics 45
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 of co-authors of Connor J. Dalzell
This figure shows the co-authorship network connecting the top 25 collaborators of Connor J. Dalzell. A scholar is included among the top collaborators of Connor J. Dalzell 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 Connor J. Dalzell. Connor J. Dalzell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 11 | |
| 4 | Some Tools for Functional Data Analysisbreakdown → | 602 |
| 5 | 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) and Image and Signal Denoising Methods (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.