Daniel Dadush

1.0k citations
37 papers · 282 · h-index 10

Impact in

Papers in

Daniel Dadush

34 papers receiving 258 citations

Peers

Daniel Dadush
Comparison fields: 5 of 40
  • Numerical Analysis 82
  • Computer Graphics and Computer-Aided Design 39
  • Computational Theory and Mathematics 160
  • Discrete Mathematics and Combinatorics 18
  • Statistics and Probability 38
Replace Mark Hartmann with:
Mark Hartmann United States
Volker Kaibel Germany
Nicolai Vorobjov United Kingdom
Karl Heinz Borgwardt Germany
Rishi Saket United States
Avner Magen Canada
Aleksandar Nikolov United States
A.M.H. Gerards Netherlands
Tsung‐Hsi Tsai Taiwan
D. Yu. Grigor'ev Russia
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Citations per field
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Mark Hartmann · 1×
Citations per year

Countries citing papers authored by Daniel Dadush

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dadush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Dadush, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Dadush Line = papers co-authored together Daniel Dadush links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201136
2 201527
3 201123
4 201522
5 201315
6 201112
7 201812
8 201212
9 201311
10 201410
11 20189
12 20169
13 20169
14 20198
15 20148
16 20206
17 20136
18 20136
19 20125
20
Enumerative Algorithms for the Shortest and Closest Lattice Vector Problems in Any Norm via M-Ellipsoid Coverings
20104

About Daniel Dadush

Daniel Dadush is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Applied Mathematics, having authored 37 papers that have together received 282 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (20 papers), Advanced Graph Theory Research (11 papers), Computational Geometry and Mesh Generation (10 papers), Point processes and geometric inequalities (8 papers), Cryptography and Data Security (8 papers), Advanced Optimization Algorithms Research (7 papers), Optimization and Search Problems (6 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Numerical Analysis (82 citations), Computer Graphics and Computer-Aided Design (39 citations), Computational Theory and Mathematics (160 citations), Discrete Mathematics and Combinatorics (18 citations) and Statistics and Probability (38 citations). Daniel Dadush has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Santosh Vempala, Santanu S. Dey, Juan Pablo Vielma, Noah Stephens-Davidowitz, Chris Peikert, Divesh Aggarwal, Shashwat Garg, Oded Regev, Nikhil Bansal and Kunal Talwar. Their work appears in journals such as Mathematical Programming, Theory of Computing, Mathematics of Operations Research, Operations Research Letters and Algorithmica.

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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