Moshe Dubiner

1.0k citations
14 papers · 655 indexed · 1 hit paper · h-index 9
Topics
Algorithms and Data Compression (5 papers)Machine Learning and Algorithms (3 papers)semigroups and automata theory (2 papers)
Partner nations
IsraelUnited States

In The Last Decade

Moshe Dubiner

14 papers receiving 588 citations

Hit Papers

Spectral methods on triangles and other domains19912026200220141991100200300400

Peers

Moshe Dubiner
Comparison fields: 5 of 65
  • Computational Mechanics 333
  • Artificial Intelligence 156
  • Electrical and Electronic Engineering 123
  • Computational Theory and Mathematics 109
  • Mechanics of Materials 100
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A. B. Stephens United States
Shayne Waldron New Zealand
Eli Passow United States
Gang-Joon Yoon South Korea
Kurt Jetter Germany
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Moshe Dubiner relative to A. B. Stephens United States A. B. Stephens's profile →
Citations per field
00.5×8.7×
A. B. Stephens · 1×
Citations per year

Countries citing papers authored by Moshe Dubiner

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Dubiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moshe Dubiner

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2
Entire Relaxation Path for Maximum Entropy Problems
1
3
Large Scale Parallel Document Mining for Machine Translation
89
4 14
5 11
6 7
7 19
8 39
9 5
10 39
11
Amplification and Percolat ion
8
12 4
13
Spectral methods on triangles and other domainsbreakdown →
403
14 14

About Moshe Dubiner

Moshe Dubiner is a scholar working on Numerical Analysis, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 14 papers that have together received 655 indexed citations. Recurring topics across this work include Algorithms and Data Compression (5 papers), Machine Learning and Algorithms (3 papers) and semigroups and automata theory (2 papers). The work is most often cited by research in Computational Mechanics (333 citations), Numerical Analysis (82 citations) and Discrete Mathematics and Combinatorics (38 citations). Moshe Dubiner has collaborated with scholars based in Israel and United States. Frequent co-authors include Jay Ponte, Jakob Uszkoreit, Ashok C. Popat, Zvi Galil, Uri Zwick and Yoram Singer. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the ACM and SIAM Journal on Computing.

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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