S. Yakowitz
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
-
- Advanced Bandit Algorithms Research
Papers in
-
- Advanced Bandit Algorithms Research 8
- Co-authors
- Ferenc Szidarovszky (13 shared papers)Mikael Karlsson (2 shared papers)Eugene F. Schuster (2 shared papers)Kolumban Hutter (9 shared papers)J. Gani (9 shared papers)S. Parker (2 shared papers)P. Algoet (1 shared paper)Tze-Leung Lai (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (6 papers)Applied Mathematics and Computation (4 papers)IEEE Transactions on Automatic Control (3 papers)Water Resources Research (3 papers)Mathematical and Computer Modelling (2 papers)
- Partner nations
- United StatesHungarySwitzerland
In The Last Decade
S. Yakowitz
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 123
- Statistics and Probability 257
- Management Science and Operations Research 276
- Environmental Engineering 225
- Modeling and Simulation 70
- Water Science and Technology 181
Countries citing papers authored by S. Yakowitz
This map shows the geographic impact of S. Yakowitz'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 S. Yakowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Yakowitz more than expected).
Fields of papers citing papers by S. Yakowitz
This network shows the impact of papers produced by S. Yakowitz. 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 S. Yakowitz. The network helps show where S. Yakowitz may publish in the future.
Co-authors
The 24 scholars most cited alongside S. Yakowitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 163 | |
| 2 | 1977 | 103 | |
| 3 | 1987 | 102 | |
| 4 | 1979 | 80 | |
| 5 | 1985 | 76 | |
| 6 | 1984 | 73 | |
| 7 | 1987 | 56 | |
| 8 | 1993 | 53 | |
| 9 | 1982 | 48 | |
| 10 | 1986 | 46 | |
| 11 | 1997 | 43 | |
| 12 | 1990 | 37 | |
| 13 | 1970 | 37 | |
| 14 | 1993 | 33 | |
| 15 | 1986 | 32 | |
| 16 | 1986 | 32 | |
| 17 | 1993 | 30 | |
| 18 | 1973 | 29 | |
| 19 | 1969 | 28 | |
| 20 | 1985 | 27 |
About S. Yakowitz
S. Yakowitz is a scholar working on Artificial Intelligence, Management Science and Operations Research, Modeling and Simulation, Control and Systems Engineering and Statistics and Probability, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Advanced Bandit Algorithms Research (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Water resources management and optimization (8 papers), Hydrology and Drought Analysis (7 papers), Landslides and related hazards (7 papers), Cryospheric studies and observations (6 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Statistics and Probability (257 citations), Management Science and Operations Research (276 citations), Environmental Engineering (225 citations), Modeling and Simulation (70 citations) and Water Science and Technology (181 citations). S. Yakowitz has collaborated with scholars based in United States, Hungary and Switzerland. Frequent co-authors include Ferenc Szidarovszky, Mikael Karlsson, Eugene F. Schuster, Kolumban Hutter, J. Gani, S. Parker, P. Algoet, Tze-Leung Lai, J. L. Denny and Lloyd D. Fisher. Their work appears in journals such as IEEE Transactions on Information Theory, Applied Mathematics and Computation, IEEE Transactions on Automatic Control, Water Resources Research and Mathematical and Computer Modelling.
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.