Moshe Sniedovich

64 papers receiving 850 citations

Peers

Moshe Sniedovich
Comparison fields: 5 of 94
  • Industrial and Manufacturing Engineering 329
  • Control and Systems Engineering 146
  • Management Science and Operations Research 138
  • Artificial Intelligence 132
  • Computational Theory and Mathematics 127
Replace Thomas L. Morin with:
Thomas L. Morin United States
Benoît Colson Belgium
Tomáš Gál Germany
Po-Lung Yu United States
Paolo Serafini Italy
Eng Ung Choo Canada
Jeff Kennington United States
James P. Ignizio United States
Cécile Murat France
Ami Arbel Israel
Moshe Sniedovich relative to Thomas L. Morin United States Thomas L. Morin's profile →
Citations per field
00.5×3.6×
Thomas L. Morin · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 11
3
Dynamic programming : foundations and principles
79
4
Dynamic Programming: Foundations and Principles, Second Edition
5
5
Dynamic Programming: an overview
5
6
The corridor method: a dynamic programming inspired metaheuristic
36
7
Dijkstra's algorithm revisited: the dynamic programming connexion
131
8 2
9 9
10 1
11 1
12 16
13 17
14 15
15 10
16 1
17 11
18 11
19 13
20
ON THE THEORY AND MODELING OF DYNAMIC PROGRAMMING WITH APPLICATIONS IN RESERVOIR OPERATION
1

About Moshe Sniedovich

Moshe Sniedovich is a scholar working on Management Science and Operations Research, Numerical Analysis and General Decision Sciences, having authored 69 papers that have together received 976 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (10 papers), Advanced Optimization Algorithms Research (10 papers) and Risk and Portfolio Optimization (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (329 citations), Numerical Analysis (70 citations) and Management Science and Operations Research (138 citations). Moshe Sniedovich has collaborated with scholars based in Australia, United States and South Africa. Frequent co-authors include Stefan Voß, Marco Caserta, Donald R. Davis, Seiichi Iwamoto, Leonid Churilov, J. S. Smart, Daniel Ralph, David K. Smith, Abraham Mehrez and Immanuel M. Bomze. Their work appears in journals such as Management Science, Water Resources Research and European Journal of Operational Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026