Zohar Feldman

547 total citations
19 papers, 357 citations indexed

About

Zohar Feldman is a scholar working on Artificial Intelligence, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Zohar Feldman has authored 19 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Management Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Zohar Feldman's work include Reinforcement Learning in Robotics (8 papers), Advanced Queuing Theory Analysis (6 papers) and Advanced Bandit Algorithms Research (4 papers). Zohar Feldman is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Advanced Queuing Theory Analysis (6 papers) and Advanced Bandit Algorithms Research (4 papers). Zohar Feldman collaborates with scholars based in Israel, United States and Germany. Zohar Feldman's co-authors include Avishai Mandelbaum, Ward Whitt, William A. Massey, Opher Etzion, Carmel Domshlak, Fabiana Fournier, Alexander Artikis, Sergey Zeltyn, Segev Wasserkrug and Andreas Metzger and has published in prestigious journals such as Management Science, Journal of Artificial Intelligence Research and Queueing Systems.

In The Last Decade

Zohar Feldman

18 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zohar Feldman Israel	8	198	127	84	63	59	19	357
Arik Senderovich Canada	8	160 0.8×	71 0.6×	69 0.8×	60 1.0×	16 0.3×	29	308
Vittoria de Nitto Personé Italy	7	192 1.0×	301 2.4×	80 1.0×	26 0.4×	17 0.3×	20	464
Jan Kriege Germany	9	159 0.8×	124 1.0×	71 0.8×	21 0.3×	11 0.2×	29	295
Woei Lin Taiwan	10	185 0.9×	261 2.1×	54 0.6×	39 0.6×	15 0.3×	56	516
Sherwin Doroudi United States	10	213 1.1×	237 1.9×	30 0.4×	37 0.6×	31 0.5×	26	404
Axel Thümmler Germany	11	101 0.5×	210 1.7×	80 1.0×	64 1.0×	8 0.1×	21	408
Alexandre Brandwajn France	10	250 1.3×	207 1.6×	81 1.0×	18 0.3×	16 0.3×	42	396
Toshiharu Hasegawa Japan	12	285 1.4×	219 1.7×	108 1.3×	18 0.3×	21 0.4×	53	501
Juta Pichitlamken Thailand	8	114 0.6×	86 0.7×	166 2.0×	40 0.6×	46 0.8×	26	331
Veena Goswami India	13	422 2.1×	349 2.7×	149 1.8×	16 0.3×	66 1.1×	111	665

Countries citing papers authored by Zohar Feldman

Since Specialization

Citations

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

Fields of papers citing papers by Zohar Feldman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zohar Feldman

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

All Works

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19 of 19 papers shown

Schillinger, Philipp, et al.. (2024). Uncertainty-driven Exploration Strategies for Online Grasp Learning. 781–787. 2 indexed citations

Feldman, Zohar, et al.. (2022). A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. 2022 International Conference on Robotics and Automation (ICRA). 6365–6371. 7 indexed citations

Domshlak, Carmel & Zohar Feldman. (2021). To UCT, or not to UCT? (Position Paper). Proceedings of the International Symposium on Combinatorial Search. 4(1). 63–70. 1 indexed citations

Feldman, Zohar & Carmel Domshlak. (2014). On MABs and Separation of Concerns in Monte-Carlo Planning for MDPs. Proceedings of the International Conference on Automated Planning and Scheduling. 24. 120–127. 3 indexed citations

Feldman, Zohar & Carmel Domshlak. (2014). Simple Regret Optimization in Online Planning for Markov Decision Processes. Journal of Artificial Intelligence Research. 51. 165–205. 22 indexed citations

Feldman, Zohar & Carmel Domshlak. (2013). Monte-Carlo Planning: Theoretically Fast Convergence Meets Practical Efficiency. arXiv (Cornell University). 212–221. 5 indexed citations

Feldman, Zohar, et al.. (2013). Proactive event processing in action. Zenodo (CERN European Organization for Nuclear Research). 97–106. 25 indexed citations

Feldman, Zohar & Carmel Domshlak. (2012). Online Planning in MDPs: Rationality and Optimization. arXiv (Cornell University). 3 indexed citations

Etzion, Opher, et al.. (2012). A basic model for proactive event-driven computing. 107–118. 40 indexed citations

10.

Artikis, Alexander, Opher Etzion, Zohar Feldman, & Fabiana Fournier. (2012). Event processing under uncertainty. 32–43. 42 indexed citations

11.

Feldman, Zohar, et al.. (2011). Using approximate dynamic programming to optimize admission control in cloud computing environment. Winter Simulation Conference. 3158–3169. 7 indexed citations

12.

Brafman, Ronen I., et al.. (2011). Planning for Operational Control Systems with Predictable Exogenous Events. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 940–945. 2 indexed citations

13.

Feldman, Zohar, et al.. (2011). Using approximate dynamic programming to optimize admission control in cloud computing environment. 4. 3153–3164. 6 indexed citations

14.

Feldman, Zohar & Avishai Mandelbaum. (2010). Using simulation-based Stochastic Approximation to optimize staffing of systems with Skills-Based-Routing. Proceedings of the 2010 Winter Simulation Conference. 3307–3317. 11 indexed citations

15.

Zeltyn, Sergey, Zohar Feldman, & Segev Wasserkrug. (2009). Waiting and sojourn times in a multi-server queue with mixed priorities. Queueing Systems. 61(4). 305–328. 18 indexed citations

16.

Wasserkrug, Segev, et al.. (2008). Creating operational shift schedules for third-level IT support: challenges, models and case study. International Journal of Services Operations and Informatics. 3(3/4). 242–242. 9 indexed citations

17.

Feldman, Zohar, Avishai Mandelbaum, William A. Massey, & Ward Whitt. (2008). Staffing of Time-Varying Queues to Achieve Time-Stable Performance. Management Science. 54(2). 324–338. 151 indexed citations

18.

Wasserkrug, Segev, et al.. (2007). Shift Scheduling for Third Level IT Support: Challenges, Models and Case Study. 1–6.

19.

Feldman, Zohar, Avishai Mandelbaum, William A. Massey, & Ward Whitt. (2005). STAFFING OF TIME-VARYING QUEUES TO ACHIEVE TIME-STABLE PERFORMANCE UNABRIDGED VERSION: INTERNET SUPPLEMENT. 3 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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