S. Yakowitz

2.5k total citations
76 papers, 1.6k citations indexed

About

S. Yakowitz is a scholar working on Artificial Intelligence, Management Science and Operations Research and Modeling and Simulation. According to data from OpenAlex, S. Yakowitz has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 12 papers in Modeling and Simulation. Recurrent topics in S. Yakowitz's work include COVID-19 epidemiological studies (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers) and Water resources management and optimization (8 papers). S. Yakowitz is often cited by papers focused on COVID-19 epidemiological studies (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers) and Water resources management and optimization (8 papers). S. Yakowitz collaborates with scholars based in United States, Hungary and Switzerland. S. Yakowitz's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Applied Physics Letters and IEEE Transactions on Automatic Control.

In The Last Decade

S. Yakowitz

74 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Yakowitz United States 25 374 276 257 243 225 76 1.6k
G. J. Janacek United Kingdom 18 492 1.3× 436 1.6× 146 0.6× 352 1.4× 220 1.0× 34 2.4k
Sidney Yakowitz United States 24 629 1.7× 293 1.1× 417 1.6× 132 0.5× 397 1.8× 39 2.5k
Tim Bedford United Kingdom 27 436 1.2× 490 1.8× 562 2.2× 675 2.8× 222 1.0× 106 4.2k
A. J. Lawrance United Kingdom 20 182 0.5× 174 0.6× 435 1.7× 243 1.0× 81 0.4× 72 1.4k
G. Apostolakis United States 35 306 0.8× 521 1.9× 197 0.8× 69 0.3× 149 0.7× 159 4.4k
Allan Seheult United Kingdom 12 255 0.7× 123 0.4× 278 1.1× 65 0.3× 117 0.5× 22 1.5k
Kishan G. Mehrotra United States 17 732 2.0× 222 0.8× 142 0.6× 66 0.3× 141 0.6× 82 1.9k
Bovas Abraham Canada 24 347 0.9× 1.0k 3.7× 621 2.4× 335 1.4× 84 0.4× 68 2.8k
Ove Ditlevsen Denmark 25 327 0.9× 381 1.4× 209 0.8× 53 0.2× 552 2.5× 116 5.8k
Lawrence M. Leemis United States 26 244 0.7× 343 1.2× 718 2.8× 105 0.4× 69 0.3× 113 2.8k

Countries citing papers authored by S. Yakowitz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of S. Yakowitz

This figure shows the co-authorship network connecting the top 25 collaborators of S. Yakowitz. A scholar is included among the top collaborators of S. Yakowitz 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 S. Yakowitz. S. Yakowitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yakowitz, S., et al.. (2000). A computational method for the study of stochastic epidemics. Mathematical and Computer Modelling. 32(1-2). 139–154. 1 indexed citations
2.
Gani, J. & S. Yakowitz. (1995). Computational and stochastic methods for interacting groups in the AIDS epidemic. Journal of Computational and Applied Mathematics. 59(2). 207–220. 2 indexed citations
3.
Yakowitz, S.. (1995). Computational methods for Markov series with large state spaces, with application to AIDS modeling. Mathematical Biosciences. 127(1). 99–121. 5 indexed citations
4.
Lai, Tze-Leung & S. Yakowitz. (1995). Machine learning and nonparametric bandit theory. IEEE Transactions on Automatic Control. 40(7). 1199–1209. 26 indexed citations
5.
Gani, J. & S. Yakowitz. (1995). Error bounds for deterministic approximations to Markov processes, with applications to epidemic models. Journal of Applied Probability. 32(4). 1063–1076. 4 indexed citations
6.
Li, Ta‐Hsin, Benjamin Kedem, & S. Yakowitz. (1994). Asymptotic normality of sample autocovariances with an application in frequency estimation. Stochastic Processes and their Applications. 52(2). 329–349. 18 indexed citations
7.
Gani, J. & S. Yakowitz. (1993). Modelling the spread of HIV among intravenous drug users. Mathematical Medicine and Biology A Journal of the IMA. 10(1). 51–65. 12 indexed citations
8.
Yakowitz, S., et al.. (1993). Nearest Neighbor Estimators for Random Fields. Journal of Multivariate Analysis. 44(1). 23–46. 53 indexed citations
9.
Yakowitz, S.. (1993). Nearest neighbor regression estimation for null-recurrent Markov time series. Stochastic Processes and their Applications. 48(2). 311–318. 33 indexed citations
10.
Yakowitz, S.. (1989). A statistical foundation for machine learning, with application to Go-Moku. Computers & Mathematics with Applications. 17(7). 1095–1102. 10 indexed citations
11.
Hutter, Kolumban, et al.. (1987). Plane steady shear flow of a cohesionless granular material down an inclined plane. A model for flow avalanches Part II: numerical results. Acta Mechanica. 65(1-4). 239–261. 25 indexed citations
12.
Hutter, Kolumban, S. Yakowitz, & Ferenc Szidarovszky. (1986). A Numerical Study of Plane Ice-Sheet Flow. Journal of Glaciology. 32(111). 139–160. 3 indexed citations
13.
Hutter, Kolumban, S. Yakowitz, & Ferenc Szidarovszky. (1986). A Numerical Study of Plane Ice-Sheet Flow. Journal of Glaciology. 32(111). 139–160. 32 indexed citations
14.
Hutter, Kolumban, Ferenc Szidarovszky, & S. Yakowitz. (1986). Plane steady shear flow of a cohesionless granular material down an inclined plane: A model for flow avalanches Part I: Theory. Acta Mechanica. 63(1-4). 87–112. 26 indexed citations
15.
Yakowitz, S.. (1986). The stagewise Kuhn-Tucker condition and differential dynamic programming. IEEE Transactions on Automatic Control. 31(1). 25–30. 46 indexed citations
16.
Yakowitz, S. & Magnus Karlsson. (1985). Nearest neighbor extensions to time series analysis.. 1985. 441–444. 1 indexed citations
17.
Yakowitz, S. & Ferenc Szidarovszky. (1985). A comparison of kriging with nonparametric regression methods. Journal of Multivariate Analysis. 16(1). 21–53. 76 indexed citations
18.
Yakowitz, S., et al.. (1976). On the identification of inhomogeneous parameters in dynamic linear partial differential equations. Journal of Mathematical Analysis and Applications. 53(3). 521–538. 13 indexed citations
19.
Yakowitz, S. & Lloyd D. Fisher. (1973). On sequential search for the maximum of an unknown function. Journal of Mathematical Analysis and Applications. 41(1). 234–259. 12 indexed citations
20.
Yakowitz, S.. (1969). A Consistent Estimator for the Identification of Finite Mixtures. The Annals of Mathematical Statistics. 40(5). 1728–1735. 28 indexed citations

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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