David A. van Dyk
- Statistics and Probability top 0.2%
- Artificial Intelligence top 1%
- Astronomy and Astrophysics top 5%
- Economics and Econometrics top 5%
- Nuclear and High Energy Physics top 10%
- Co-authors
- Xiao‐Li MengKosuke ImaiTaeyoung ParkV. KashyapAneta SiemiginowskaA. ConnorsRostislav S. ProtassovTed von Hippel
- Topics
- Statistical Methods and Bayesian Inference (20 papers)Gamma-ray bursts and supernovae (17 papers)Stellar, planetary, and galactic studies (16 papers)
- Journals
- Journal of the American Statistical AssociationThe Astrophysical JournalMonthly Notices of the Royal Astronomical Society
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
David A. van Dyk
72 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Statistics and Probability 1.2k
- Artificial Intelligence 937
- Astronomy and Astrophysics 666
- Economics and Econometrics 323
- Nuclear and High Energy Physics 241
Countries citing papers authored by David A. van Dyk
This map shows the geographic impact of David A. van Dyk'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 David A. van Dyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. van Dyk more than expected).
Fields of papers citing papers by David A. van Dyk
This network shows the impact of papers produced by David A. van Dyk. 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 David A. van Dyk. The network helps show where David A. van Dyk may publish in the future.
Co-authorship network of co-authors of David A. van Dyk
This figure shows the co-authorship network connecting the top 25 collaborators of David A. van Dyk. A scholar is included among the top collaborators of David A. van Dyk 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 David A. van Dyk. David A. van Dyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 32 | |
| 11 | BASE-9: Bayesian Analysis for Stellar Evolution with nine variables | 1 |
| 12 | 4 | |
| 13 | 17 | |
| 14 | 20 | |
| 15 | LIRA — The Low-Counts Image Restoration and Analysis Package: A Teaching Version via R | 1 |
| 16 | pyblocxs: Bayesian Low-Counts X-ray Spectral Analysis in Sherpa | 1 |
| 17 | Inverting Color-Magnitude Diagrams to Access Precise Star Cluster Parameters: A Bayesian Approach | 1 |
| 18 | 48 | |
| 19 | A Fe K Line in GRB 970508 | 1 |
| 20 | 20 |
About David A. van Dyk
David A. van Dyk is a scholar working on Statistics and Probability, Instrumentation and Astronomy and Astrophysics, having authored 82 papers that have together received 3.5k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (20 papers), Gamma-ray bursts and supernovae (17 papers) and Stellar, planetary, and galactic studies (16 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Astronomy and Astrophysics (666 citations) and Instrumentation (136 citations). David A. van Dyk has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Xiao‐Li Meng, Kosuke Imai, Taeyoung Park, V. Kashyap, Aneta Siemiginowska, A. Connors, Rostislav S. Protassov, Ted von Hippel, Mark E. Glickman and W. H. Jefferys. Their work appears in journals such as Journal of the American Statistical Association, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.
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.