Sidney Yakowitz

38 papers receiving 2.1k citations

Sidney Yakowitz's Hit Papers

Dynamic programming applications in water resources 1982 · 400 citations
4000+14+29Years since publication100200300400

Peers

Sidney Yakowitz
Comparison fields: 5 of 148
  • Statistics and Probability 419
  • Ocean Engineering 746
  • Water Science and Technology 419
  • Environmental Engineering 395
  • Management Science and Operations Research 295
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S. Yakowitz United States
Fred C. Schweppe United States
Tim Bedford United Kingdom
Heung Wong Hong Kong
James Pickands United States
G. E. P. Box United States
David J. Nott Singapore
Robert B. Gramacy United States
Fabrizio Durante Italy
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Sidney Yakowitz relative to S. Yakowitz United States S. Yakowitz's profile →
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Citations per year

Countries citing papers authored by Sidney Yakowitz

Since Specialization
Citations

This map shows the geographic impact of Sidney 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 Sidney Yakowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sidney Yakowitz more than expected).

Fields of papers citing papers by Sidney Yakowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sidney 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 Sidney Yakowitz. The network helps show where Sidney Yakowitz may publish in the future.

Co-authors

The 22 scholars most cited alongside Sidney Yakowitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sidney Yakowitz Line = papers co-authored together Sidney Yakowitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dynamic programming applications in water resources
Hit paper breakdown →
1982400
2 1997337
3 1968268
4 1979209
5 1979173
6 1996112
7 197894
8 198578
9 198071
10 198464
11 197552
12 199752
13 200050
14 199646
15 198942
16 198042
17 197841
18 197340
19 197936
20 197135

About Sidney Yakowitz

Sidney Yakowitz is a scholar working on Artificial Intelligence, Statistics and Probability, Global and Planetary Change, Environmental Engineering and Water Science and Technology, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Hydrology and Drought Analysis (6 papers), Time Series Analysis and Forecasting (5 papers), Bayesian Methods and Mixture Models (5 papers), Water resources management and optimization (4 papers), Financial Risk and Volatility Modeling (4 papers), Hydrology and Watershed Management Studies (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Statistics and Probability (419 citations), Ocean Engineering (746 citations), Water Science and Technology (419 citations), Environmental Engineering (395 citations) and Management Science and Operations Research (295 citations). Sidney Yakowitz has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Finn V. Jensen, J. Spragins, Shlomo P. Neuman, Ferenc Szidarovszky, Lucien Duckstein, Brian M. Rutherford, Lanh Tat Tran, George G. Roussas, David A. Freedman and George P. McCabe. Their work appears in journals such as Water Resources Research, Journal of the American Statistical Association, The Annals of Statistics, Technometrics and Journal of Multivariate Analysis.

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.

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