Yoel Tenne

531 total citations
23 papers, 307 citations indexed

About

Yoel Tenne is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Yoel Tenne has authored 23 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 18 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Yoel Tenne's work include Advanced Multi-Objective Optimization Algorithms (21 papers), Metaheuristic Optimization Algorithms Research (17 papers) and Evolutionary Algorithms and Applications (9 papers). Yoel Tenne is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (21 papers), Metaheuristic Optimization Algorithms Research (17 papers) and Evolutionary Algorithms and Applications (9 papers). Yoel Tenne collaborates with scholars based in Israel, Japan and Australia. Yoel Tenne's co-authors include S.W. Armfield, Kazuhiro Izui, Shinji Nishiwaki, Y. Sarig and Shigeru Obayashi and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, Soft Computing and Advances in Engineering Software.

In The Last Decade

Yoel Tenne

20 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoel Tenne Israel 7 194 172 48 39 30 23 307
Alan Diaz-Manríquez Mexico 8 231 1.2× 200 1.2× 50 1.0× 28 0.7× 17 0.6× 19 332
Amitay Isaacs Australia 10 306 1.6× 280 1.6× 81 1.7× 33 0.8× 52 1.7× 22 414
Yeboon Yun Japan 6 85 0.4× 65 0.4× 45 0.9× 29 0.7× 44 1.5× 28 227
Zefeng Chen China 12 230 1.2× 252 1.5× 49 1.0× 11 0.3× 31 1.0× 28 361
Kaname Narukawa Japan 10 399 2.1× 390 2.3× 80 1.7× 22 0.6× 59 2.0× 17 506
Brian Williams United States 2 111 0.6× 70 0.4× 81 1.7× 84 2.2× 16 0.5× 2 232
Zhenshou Song China 11 264 1.4× 326 1.9× 66 1.4× 17 0.4× 34 1.1× 12 437
Langchun Si China 5 213 1.1× 234 1.4× 28 0.6× 10 0.3× 28 0.9× 8 358
Pankaj Saini Singapore 3 190 1.0× 245 1.4× 20 0.4× 10 0.3× 17 0.6× 4 328
Mardé Helbig South Africa 10 316 1.6× 320 1.9× 60 1.3× 11 0.3× 54 1.8× 29 377

Countries citing papers authored by Yoel Tenne

Since Specialization
Citations

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

Fields of papers citing papers by Yoel Tenne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoel Tenne

This figure shows the co-authorship network connecting the top 25 collaborators of Yoel Tenne. A scholar is included among the top collaborators of Yoel Tenne 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 Yoel Tenne. Yoel Tenne 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.
Tenne, Yoel. (2022). An Analysis of the RBF Hyperparameter Impact on Surrogate-Assisted Evolutionary Optimization. Scientific Programming. 2022. 1–12. 1 indexed citations
2.
3.
Tenne, Yoel. (2021). Evaluations of An Algorithm for Large Multivariate Optimization. Journal of Physics Conference Series. 2068(1). 12026–12026.
4.
Tenne, Yoel. (2020). New Approaches in Simulation-driven Optimization. Journal of Physics Conference Series. 1670(1). 12010–12010. 1 indexed citations
5.
Tenne, Yoel. (2020). Online Ensemble Topology Selection in Expensive Optimization Problems. International Journal of Control Automation and Systems. 18(4). 955–965. 3 indexed citations
6.
Tenne, Yoel. (2017). Machine–Learning in Optimization of Expensive Black–Box Functions. International Journal of Applied Mathematics and Computer Science. 27(1). 105–118. 6 indexed citations
7.
Tenne, Yoel. (2014). An adaptive-topology ensemble algorithm for engineering optimization problems. Optimization and Engineering. 16(2). 303–334. 9 indexed citations
8.
Tenne, Yoel. (2013). An algorithm for computationally expensive engineering optimization problems. International Journal of General Systems. 42(5). 458–488. 3 indexed citations
9.
Tenne, Yoel. (2013). An Optimization Algorithm Employing Multiple Metamodels and Optimizers. International Journal of Automation and Computing. 10(3). 227–241. 15 indexed citations
10.
Tenne, Yoel. (2013). AN ANALYSIS OF THE IMPACT OF THE INITIAL SAMPLE ON EVOLUTIONARY METAMODEL-ASSISTED OPTIMIZATION. Applied Artificial Intelligence. 27(8). 669–699. 2 indexed citations
11.
Tenne, Yoel, Kazuhiro Izui, & Shinji Nishiwaki. (2012). A model-adaptive evolutionary algorithm for optimization. Artificial Life and Robotics. 16(4). 546–550. 1 indexed citations
12.
Tenne, Yoel. (2012). A computational intelligence algorithm for expensive engineering optimization problems. Engineering Applications of Artificial Intelligence. 25(5). 1009–1021. 22 indexed citations
13.
Tenne, Yoel, Kazuhiro Izui, & Shinji Nishiwaki. (2011). A hybrid model-classifier framework for managing prediction uncertainty in expensive optimisation problems. International Journal of Systems Science. 43(7). 1305–1321. 2 indexed citations
14.
Tenne, Yoel, Kazuhiro Izui, & Shinji Nishiwaki. (2010). Dimensionality-reduction frameworks for computationally expensive problems. 1–8. 9 indexed citations
15.
Tenne, Yoel. (2010). Computational Intelligence in Expensive Optimization Problems. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 163 indexed citations
16.
Tenne, Yoel & S.W. Armfield. (2008). A framework for memetic optimization using variable global and local surrogate models. Soft Computing. 13(8-9). 781–793. 50 indexed citations
17.
Tenne, Yoel & S.W. Armfield. (2008). Metamodel accuracy assessment in evolutionary optimization. 2. 1505–1512. 5 indexed citations
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19.
20.
Sarig, Y., et al.. (1977). Mechanical Harvesting of Apples in a Damping Medium. Transactions of the ASAE. 20(3). 457–460. 1 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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