William J. Morokoff
- Numerical Analysis top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Applied Mathematics top 2%
- Computational Mechanics top 5%
- Statistics and Probability top 2%
- Co-authors
- Russel E. CaflischArt B. OwenC. David LevermoreAlfred KerschC. WernerBalasubramanya NadigaPeter D. LaxAmi Harten
- Topics
- Mathematical Approximation and Integration (8 papers)Gas Dynamics and Kinetic Theory (5 papers)Credit Risk and Financial Regulations (3 papers)
- Journals
- Journal of Applied PhysicsJournal of Computational PhysicsIndustrial & Engineering Chemistry Research
- Partner nations
- United StatesGermanyTaiwan
In The Last Decade
William J. Morokoff
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Numerical Analysis 541
- Statistics, Probability and Uncertainty 395
- Applied Mathematics 292
- Computational Mechanics 288
- Statistics and Probability 145
Countries citing papers authored by William J. Morokoff
This map shows the geographic impact of William J. Morokoff'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 William J. Morokoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Morokoff more than expected).
Fields of papers citing papers by William J. Morokoff
This network shows the impact of papers produced by William J. Morokoff. 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 William J. Morokoff. The network helps show where William J. Morokoff may publish in the future.
Co-authorship network of co-authors of William J. Morokoff
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Morokoff. A scholar is included among the top collaborators of William J. Morokoff 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 William J. Morokoff. William J. Morokoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 96 | |
| 7 | 2 | |
| 8 | 49 | |
| 9 | 36 | |
| 10 | 41 | |
| 11 | 327 | |
| 12 | 335 | |
| 13 | 30 | |
| 14 | 46 | |
| 15 | 14 | |
| 16 | 235 | |
| 17 | 40 | |
| 18 | Quasi-Monte Carlo methods for numerical integration and simulation | 1 |
| 19 | 3 |
About William J. Morokoff
William J. Morokoff is a scholar working on Numerical Analysis, Applied Mathematics and Finance, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (8 papers), Gas Dynamics and Kinetic Theory (5 papers) and Credit Risk and Financial Regulations (3 papers). The work is most often cited by research in Numerical Analysis (541 citations), Statistics, Probability and Uncertainty (395 citations) and Applied Mathematics (292 citations). William J. Morokoff has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Russel E. Caflisch, Art B. Owen, C. David Levermore, Alfred Kersch, C. Werner, Balasubramanya Nadiga, Peter D. Lax, Ami Harten, Andreas Schuster and Ho Mu Lin. Their work appears in journals such as Journal of Applied Physics, Journal of Computational Physics and Industrial & Engineering Chemistry Research.
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.