Moshe Sniedovich

114 total papers · 1.5k total citations
69 papers, 975 citations indexed

About

Moshe Sniedovich is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Moshe Sniedovich has authored 69 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 20 papers in Computational Theory and Mathematics and 14 papers in Artificial Intelligence. Recurrent topics in Moshe Sniedovich's work include Advanced Optimization Algorithms Research (10 papers), Optimization and Variational Analysis (10 papers) and Water resources management and optimization (9 papers). Moshe Sniedovich is often cited by papers focused on Advanced Optimization Algorithms Research (10 papers), Optimization and Variational Analysis (10 papers) and Water resources management and optimization (9 papers). Moshe Sniedovich collaborates with scholars based in Australia, United States and South Africa. Moshe Sniedovich's co-authors include Stefan Voß, Marco Caserta, Donald R. Davis, Seiichi Iwamoto, Leonid Churilov, Daniel Ralph, Andrew W. Byrne, Immanuel M. Bomze, David K. Smith and J. S. Smart and has published in prestigious journals such as Management Science, Water Resources Research and European Journal of Operational Research.

In The Last Decade

Moshe Sniedovich

64 papers receiving 849 citations

Author Peers

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

Author						Papers	Cites
Moshe Sniedovich	329	147	138	132	127	69	975
Thomas L. Morin	447 1.4×	203 1.4×	201 1.5×	110 0.8×	173 1.4×	67	1.1k
Ş. İlker Birbil	306 0.9×	139 0.9×	188 1.4×	136 1.0×	139 1.1×	67	919
Markus Sinnl	311 0.9×	104 0.7×	125 0.9×	43 0.3×	169 1.3×	46	795
Antonio M. Rodríguez‐Chía	509 1.5×	151 1.0×	136 1.0×	99 0.8×	100 0.8×	77	974
Yinzhen Li	187 0.6×	370 2.5×	168 1.2×	224 1.7×	147 1.2×	60	1.1k
Jeffery L. Kennington	290 0.9×	184 1.3×	257 1.9×	80 0.6×	210 1.7×	48	1.2k
Stefan Ruzika	234 0.7×	281 1.9×	153 1.1×	141 1.1×	427 3.4×	65	1.0k
Herminia I. Calvete	340 1.0×	403 2.7×	114 0.8×	57 0.4×	339 2.7×	43	980
Ue‐Pyng Wen	245 0.7×	390 2.7×	272 2.0×	107 0.8×	262 2.1×	41	1.0k
Cécile Murat	227 0.7×	307 2.1×	418 3.0×	59 0.4×	162 1.3×	30	1.1k

Countries citing papers authored by Moshe Sniedovich

Since Specialization

Citations

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

Fields of papers citing papers by Moshe Sniedovich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moshe Sniedovich

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Sniedovich. A scholar is included among the top collaborators of Moshe Sniedovich 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 Moshe Sniedovich. Moshe Sniedovich 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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