Eugene Levner

1.1k total citations
44 papers, 730 citations indexed

About

Eugene Levner is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eugene Levner has authored 44 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Industrial and Manufacturing Engineering, 16 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eugene Levner's work include Optimization and Search Problems (14 papers), Advanced Manufacturing and Logistics Optimization (9 papers) and Scheduling and Optimization Algorithms (8 papers). Eugene Levner is often cited by papers focused on Optimization and Search Problems (14 papers), Advanced Manufacturing and Logistics Optimization (9 papers) and Scheduling and Optimization Algorithms (8 papers). Eugene Levner collaborates with scholars based in Israel, Hong Kong and United States. Eugene Levner's co-authors include T.C.E. Cheng, Vladimir Kats, Daniel Mossé, Pedro Mejía-Álvarez, David Alcaide López de Pablo, Avi Herbon, Jean‐Marie Proth, Igor Linkov, Shai Ashkenazi and Arriel Benis and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Eugene Levner

40 papers receiving 709 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 Levner Israel 13 237 160 135 122 101 44 730
Jan van der Wal Netherlands 18 174 0.7× 594 3.7× 47 0.3× 154 1.3× 11 0.1× 57 1.1k
Hayriye Ayhan United States 18 248 1.0× 675 4.2× 45 0.3× 262 2.1× 19 0.2× 77 981
Rohit Joshi India 9 203 0.9× 139 0.9× 164 1.2× 115 0.9× 44 0.4× 20 613
Ting Wu China 19 77 0.3× 73 0.5× 104 0.8× 194 1.6× 42 0.4× 74 1.0k
Ming-Hua Lin Taiwan 15 131 0.6× 35 0.2× 89 0.7× 60 0.5× 5 0.0× 48 693
Guoqing Yang China 15 263 1.1× 126 0.8× 155 1.1× 75 0.6× 10 0.1× 65 843
Vahid Kayvanfar Iran 21 712 3.0× 160 1.0× 129 1.0× 107 0.9× 3 0.0× 56 1.3k
Fawaz S. Al–Anzi Kuwait 20 690 2.9× 36 0.2× 32 0.2× 122 1.0× 7 0.1× 78 1.4k
Xian Zhou China 20 239 1.0× 121 0.8× 34 0.3× 96 0.8× 6 0.1× 99 1.3k
Andrei Borshchev Austria 7 139 0.6× 64 0.4× 53 0.4× 41 0.3× 7 0.1× 15 619

Countries citing papers authored by Eugene Levner

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Levner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Levner

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Levner. A scholar is included among the top collaborators of Eugene Levner 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 Levner. Eugene Levner 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.
2.
Yan, Pengyu, et al.. (2023). Sequential auction for cloud manufacturing resource trading: A deep reinforcement learning approach to the lot-sizing problem. Computers & Industrial Engineering. 188. 109862–109862. 5 indexed citations
3.
Lazebnik, Teddy, Svetlana Bunimovich‐Mendrazitsky, Shai Ashkenazi, Eugene Levner, & Arriel Benis. (2022). Early Detection and Control of the Next Epidemic Wave Using Health Communications: Development of an Artificial Intelligence-Based Tool and Its Validation on COVID-19 Data from the US. International Journal of Environmental Research and Public Health. 19(23). 16023–16023. 10 indexed citations
4.
Benis, Arriel, et al.. (2021). Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence–Based Infodemiology Study. SHILAP Revista de lepidopterología. 1(1). e31983–e31983. 14 indexed citations
5.
Benis, Arriel, et al.. (2021). Social Media Engagement and Influenza Vaccination During the COVID-19 Pandemic: Cross-sectional Survey Study. Journal of Medical Internet Research. 23(3). e25977–e25977. 41 indexed citations
6.
Ng, C.T., et al.. (2020). Optimal bi-criterion planning of rescue and evacuation operations for marine accidents using an iterative scheduling algorithm. Annals of Operations Research. 296(1-2). 407–420. 10 indexed citations
7.
Cheng, T.C.E., et al.. (2019). Scheduling an autonomous robot searching for hidden targets. Annals of Operations Research. 298(1-2). 95–109. 8 indexed citations
8.
Elalouf, Amir, et al.. (2018). A location-routing problem within blood sample collection chains. 488–491. 3 indexed citations
9.
Cheng, T.C.E., et al.. (2017). A Fast Algorithm for Detecting Hidden Objects by Smart Mobile Robots. 1–6. 1 indexed citations
10.
Levner, Eugene, Vladimir Kats, David Alcaide López de Pablo, & T.C.E. Cheng. (2010). Complexity of cyclic scheduling problems: A state-of-the-art survey. Computers & Industrial Engineering. 59(2). 352–361. 119 indexed citations
11.
Levner, Eugene, et al.. (2009). Hierarchical Scheduling of Mobile Robots in Production-Transportation Supply Chains. IFAC Proceedings Volumes. 42(4). 786–791. 5 indexed citations
12.
Che, Ada, Vladimir Kats, & Eugene Levner. (2009). A note on a quadratic algorithm for the 2-cyclic robotic scheduling problem. Theoretical Computer Science. 410(47-49). 5188–5190. 1 indexed citations
13.
Kats, Vladimir & Eugene Levner. (2009). The Howard-Romanovskii routing algorithm revisited, with applications to robot scheduling. 39. 143–148. 1 indexed citations
14.
Mejía-Álvarez, Pedro, Eugene Levner, & Daniel Mossé. (2003). Power-optimized scheduling server for real-time tasks. 239–250. 21 indexed citations
15.
Gelbukh, Alexander, et al.. (2002). On fast path‐finding algorithms in AND‐OR graphs. Mathematical Problems in Engineering. 8(4-5). 283–293. 2 indexed citations
16.
Levner, Eugene, et al.. (2002). An approximation algorithm with performance guarantees for the maximum traveling salesman problem on special matrices. Discrete Applied Mathematics. 119(1-2). 139–148. 1 indexed citations
17.
Levner, Eugene & Vladimir Kats. (1998). A parametric critical path problem and an application for cyclic scheduling. Discrete Applied Mathematics. 87(1-3). 149–158. 54 indexed citations
18.
Levner, Eugene, et al.. (1998). Total quality management of a production-maintenance system: A network approach. International Journal of Production Economics. 56-57. 407–421. 2 indexed citations
19.
Levner, Eugene, Konstantin Kogan, & Oded Maimon. (1995). Flowshop Scheduling of Robotic Cells with Job-dependent Transportation and Set-up Effects. Journal of the Operational Research Society. 46(12). 1447–1455. 9 indexed citations
20.
Levner, Eugene. (1994). Infinite-horizon scheduling algorithms for optimal search for hidden objects. International Transactions in Operational Research. 1(2). 241–250. 5 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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