Yaron Shaposhnik

28 total papers · 520 total citations
15 papers, 113 citations indexed

About

Yaron Shaposhnik is a scholar working on Management Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Yaron Shaposhnik has authored 15 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Information Systems, 6 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Yaron Shaposhnik's work include Advanced Bandit Algorithms Research (3 papers), Machine Learning in Healthcare (3 papers) and Supply Chain and Inventory Management (3 papers). Yaron Shaposhnik is often cited by papers focused on Advanced Bandit Algorithms Research (3 papers), Machine Learning in Healthcare (3 papers) and Supply Chain and Inventory Management (3 papers). Yaron Shaposhnik collaborates with scholars based in United States, Israel and Singapore. Yaron Shaposhnik's co-authors include Cynthia Rudin, Fernanda Bravo, Retsef Levi, Thomas L. Magnanti, Sijia Wang, Tong Wang, Chaofan Chen, Danny Segev, Robert Krauthgamer and Jingwei Ji and has published in prestigious journals such as Management Science, European Journal of Operational Research and Operations Research.

In The Last Decade

Yaron Shaposhnik

14 papers receiving 110 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yaron Shaposhnik	58	27	24	16	16	15	113
Karl Hall	83 1.4×	11 0.4×	17 0.7×	49 3.1×	7 0.4×	13	219
Maarten P. D. Schadd	92 1.6×	20 0.7×	18 0.8×	13 0.8×	18 1.1×	20	163
Mallikarjuna Paramesha	34 0.6×	20 0.7×	23 1.0×	12 0.8×	6 0.4×	12	99
Sven Weinzierl	61 1.1×	50 1.9×	87 3.6×	15 0.9×	13 0.8×	23	169
Xiaojie Mao	40 0.7×	35 1.3×	15 0.6×	3 0.2×	5 0.3×	12	141
Michael Arias	44 0.8×	43 1.6×	129 5.4×	7 0.4×	32 2.0×	15	183
Zeli Wang	61 1.1×	10 0.4×	32 1.3×	42 2.6×	3 0.2×	16	215
Livio Pompianu	53 0.9×	10 0.4×	13 0.5×	33 2.1×	4 0.3×	15	182
Mohammadreza Fani Sani	28 0.5×	19 0.7×	61 2.5×	27 1.7×	8 0.5×	12	84
Anand Sharma	123 2.1×	33 1.2×	8 0.3×	15 0.9×	3 0.2×	18	244

Countries citing papers authored by Yaron Shaposhnik

Since Specialization

Citations

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

Fields of papers citing papers by Yaron Shaposhnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaron Shaposhnik

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

All Works

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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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