J.L. Maryak
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Management Science and Operations Research top 10%
- Computational Theory and Mathematics top 10%
- Statistics, Probability and Uncertainty top 5%
- Topics
- Stochastic processes and financial applications (6 papers)Simulation Techniques and Applications (6 papers)Fault Detection and Control Systems (5 papers)
- Cited by
- Statistics, Probability and UncertaintyManagement Science and Operations ResearchStatistics and Probability
- Journals
- Journal of the American Statistical AssociationTechnometricsIEEE Transactions on Automatic Control
- Partner nations
- United States
In The Last Decade
J.L. Maryak
22 papers receiving 323 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 134
- Control and Systems Engineering 98
- Management Science and Operations Research 67
- Computational Theory and Mathematics 63
- Statistics, Probability and Uncertainty 47
Countries citing papers authored by J.L. Maryak
This map shows the geographic impact of J.L. Maryak'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 J.L. Maryak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.L. Maryak more than expected).
Fields of papers citing papers by J.L. Maryak
This network shows the impact of papers produced by J.L. Maryak. 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 J.L. Maryak. The network helps show where J.L. Maryak may publish in the future.
Co-authorship network of co-authors of J.L. Maryak
This figure shows the co-authorship network connecting the top 25 collaborators of J.L. Maryak. A scholar is included among the top collaborators of J.L. Maryak 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 J.L. Maryak. J.L. Maryak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 9 | |
| 3 | 51 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 34 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 13 | |
| 17 | 9 | |
| 18 | 17 | |
| 19 | 19 | |
| 20 | 4 |
About J.L. Maryak
J.L. Maryak is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 24 papers that have together received 350 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (6 papers), Simulation Techniques and Applications (6 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (47 citations), Management Science and Operations Research (67 citations) and Statistics and Probability (35 citations). J.L. Maryak has collaborated with scholars based in United States. Frequent co-authors include D.C. Chin, James C. Spall, B. Roy Frieden and S. Favin. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Automatic Control.
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.