Eugene Khmelnitsky

1.5k total citations
56 papers, 1.1k citations indexed

About

Eugene Khmelnitsky is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Eugene Khmelnitsky has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Industrial and Manufacturing Engineering, 22 papers in Management Information Systems and 14 papers in Management Science and Operations Research. Recurrent topics in Eugene Khmelnitsky's work include Scheduling and Optimization Algorithms (27 papers), Supply Chain and Inventory Management (20 papers) and Advanced Manufacturing and Logistics Optimization (12 papers). Eugene Khmelnitsky is often cited by papers focused on Scheduling and Optimization Algorithms (27 papers), Supply Chain and Inventory Management (20 papers) and Advanced Manufacturing and Logistics Optimization (12 papers). Eugene Khmelnitsky collaborates with scholars based in Israel, United States and France. Eugene Khmelnitsky's co-authors include Konstantin Kogan, Avi Herbon, Yigal Gerchak, Oded Maimon, Yossi Bukchin, Gonen Singer, Michael C. Caramanis, Tal Avinadav, Tatyana Chernonog and Lawrence W. Robinson and has published in prestigious journals such as IEEE Transactions on Automatic Control, European Journal of Operational Research and IEEE Access.

In The Last Decade

Eugene Khmelnitsky

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugene Khmelnitsky Israel 16 758 375 341 280 204 56 1.1k
Arianna Alfieri Italy 20 707 0.9× 286 0.8× 66 0.2× 88 0.3× 162 0.8× 83 1.1k
Robert C. Leachman United States 26 1.5k 2.0× 577 1.5× 107 0.3× 198 0.7× 151 0.7× 70 1.9k
Narayan Rangaraj India 12 242 0.3× 159 0.4× 67 0.2× 148 0.5× 136 0.7× 38 681
Matthijs C. van der Heijden Netherlands 21 331 0.4× 521 1.4× 60 0.2× 45 0.2× 294 1.4× 40 1.1k
Zhou Xu Hong Kong 20 872 1.2× 117 0.3× 60 0.2× 137 0.5× 57 0.3× 81 1.4k
Vittaldas V. Prabhu United States 19 640 0.8× 172 0.5× 94 0.3× 20 0.1× 124 0.6× 90 1.1k
Ananth Krishnamurthy United States 23 1.1k 1.5× 301 0.8× 56 0.2× 43 0.2× 121 0.6× 69 1.7k
G. Don Taylor United States 19 565 0.7× 162 0.4× 44 0.1× 99 0.4× 129 0.6× 68 894
K. L. Mak Hong Kong 19 833 1.1× 230 0.6× 218 0.6× 30 0.1× 123 0.6× 77 1.3k

Countries citing papers authored by Eugene Khmelnitsky

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Khmelnitsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Khmelnitsky

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Khmelnitsky. A scholar is included among the top collaborators of Eugene Khmelnitsky 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 Eugene Khmelnitsky. Eugene Khmelnitsky 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.
Khmelnitsky, Eugene & Gonen Singer. (2023). Optimal Real Estate Pricing and Offer Acceptance Strategy. IEEE Access. 11. 58644–58653.
2.
Ouardighi, Fouad El, et al.. (2020). Production-based pollution versus deforestation: optimal policy with state-independent and-dependent environmental absorption efficiency restoration process. Annals of Operations Research. 292(1). 1–26. 6 indexed citations
3.
Ouardighi, Fouad El, Eugene Khmelnitsky, & Suresh Sethi. (2020). Control of an Epidemic With Endogenous Treatment Capability Under Popular Discontent and Social Fatigue. SSRN Electronic Journal. 1 indexed citations
4.
Gerchak, Yigal & Eugene Khmelnitsky. (2019). Partnership’s Profit Sharing: Linear and Nonlinear Contracts. International Game Theory Review. 21(2). 1940008–1940008. 1 indexed citations
5.
Khmelnitsky, Eugene, et al.. (2018). Job sizing and sequencing in additive manufacturing to control process deterioration. IISE Transactions. 51(2). 181–191. 16 indexed citations
6.
Bukchin, Yossi, Eran Hanany, & Eugene Khmelnitsky. (2018). Bucket brigade with stochastic worker pace. IISE Transactions. 50(12). 1027–1042. 7 indexed citations
7.
Khmelnitsky, Eugene, et al.. (2016). Estimation of quantiles of non-stationary demand distributions. IISE Transactions. 49(4). 381–394. 7 indexed citations
8.
Khmelnitsky, Eugene & Gonen Singer. (2014). An optimal inventory management problem with reputation-dependent demand. Annals of Operations Research. 231(1). 305–316. 12 indexed citations
9.
Herbon, Avi & Eugene Khmelnitsky. (2010). Transient Little’s Law for the First and Second Moments of G/M/1/N Queue Measures. Journal of Service Science and Management. 3(4). 512–519. 1 indexed citations
10.
Gerchak, Yigal, Eugene Khmelnitsky, & Lawrence W. Robinson. (2007). Untruthful probabilistic demand forecasts in vendor‐managed revenue‐sharing contracts: Coordinating the chain. Naval Research Logistics (NRL). 54(7). 742–749. 18 indexed citations
11.
Herbon, Avi, Eugene Khmelnitsky, & Irad Ben‐Gal. (2005). Using a pseudo-stochastic approach for multiple-parts scheduling on an unreliable machine. IIE Transactions. 37(3). 189–199. 3 indexed citations
12.
Khmelnitsky, Eugene & Michal Tzur. (2004). Parallelism of continuous- and discrete-time production planning problems. IIE Transactions. 36(7). 611–628. 9 indexed citations
13.
Herbon, Avi, Eugene Khmelnitsky, & Franco Blanchini. (2003). Effective Information for Offline Stochastic Feedback and Optimal Control of Dynamic Systems. Journal of Optimization Theory and Applications. 116(2). 283–310. 4 indexed citations
14.
Herbon, Avi, Eugene Khmelnitsky, & Oded Maimon. (2003). Effective information horizon length in measuring off-line performance of stochastic dynamic systems. European Journal of Operational Research. 157(3). 688–703. 4 indexed citations
15.
Gerchak, Yigal & Eugene Khmelnitsky. (2002). A consignment system where suppliers cannot verify retailer's sales reports. International Journal of Production Economics. 83(1). 37–43. 21 indexed citations
16.
Maimon, Oded, Eugene Khmelnitsky, & Konstantin Kogan. (2000). Production flow control in a cell with groups of identical machines. IIE Transactions. 32(7). 599–611. 3 indexed citations
17.
Kogan, Konstantin & Eugene Khmelnitsky. (2000). Scheduling: Control-Based Theory and Polynomial-Time Algorithms. CERN Document Server (European Organization for Nuclear Research). 20 indexed citations
18.
Kogan, Konstantin, Eugene Khmelnitsky, & Oded Maimon. (1998). Balancing facilities in aggregate production planning: Make-to-order and make-to-stock environments. International Journal of Production Research. 36(9). 2585–2596. 13 indexed citations
19.
Kogan, Konstantin & Eugene Khmelnitsky. (1996). An optimal control model for continuous time production and setup scheduling. International Journal of Production Research. 34(3). 715–725. 19 indexed citations
20.
Kogan, Konstantin & Eugene Khmelnitsky. (1995). An optimal control method for aggregate production planning in large-scale manufacturing systems with capacity expansion and deterioration. Computers & Industrial Engineering. 28(4). 851–859. 16 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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