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- Benny Sudakov

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
50
Citations
8,877
534
World Ranking
796
National Ranking
15

Engineering and Technology
D-index
50
Citations
8,648
512
World Ranking
2037
National Ranking
35

2019 - Member of Academia Europaea

2013 - Fellow of the American Mathematical Society

2004 - Fellow of Alfred P. Sloan Foundation

- Combinatorics
- Discrete mathematics
- Graph theory

Benny Sudakov mainly investigates Combinatorics, Discrete mathematics, Graph, Random regular graph and Random graph. His Combinatorics study frequently draws connections to adjacent fields such as Pseudorandom number generator. His research related to Graph power, Conjecture, Split graph, Bipartite graph and Bound graph might be considered part of Discrete mathematics.

His work deals with themes such as Binary logarithm and Constant factor, which intersect with Graph. His study explores the link between Random regular graph and topics such as Triangle-free graph that cross with problems in Strongly regular graph and Maximal independent set. His work deals with themes such as Extremal graph theory, Line graph and Regular graph, which intersect with Random graph.

- Finding a large hidden clique in a random graph (217 citations)
- Pseudo-random Graphs (160 citations)
- The Largest Eigenvalue of Sparse Random Graphs (135 citations)

Benny Sudakov mainly focuses on Combinatorics, Discrete mathematics, Graph, Conjecture and Random graph. His study in Complete graph, Ramsey's theorem, Hypergraph, Bipartite graph and Vertex is carried out as part of his Combinatorics studies. His Discrete mathematics study is mostly concerned with Random regular graph, Graph power, Complement graph, Bound graph and Factor-critical graph.

His study in the field of Vertex is also linked to topics like Omega. The study incorporates disciplines such as Disjoint sets, Independence number, Edge and Tournament in addition to Conjecture. His Random graph study incorporates themes from Almost surely, Graph property, Hamiltonian path and Degree.

- Combinatorics (100.00%)
- Discrete mathematics (47.86%)
- Graph (33.33%)

- Combinatorics (100.00%)
- Conjecture (27.75%)
- Graph (33.33%)

His primary scientific interests are in Combinatorics, Conjecture, Graph, Bipartite graph and Random graph. His Conjecture research incorporates themes from Disjoint sets, Lemma and Complete graph. His Graph study combines topics from a wide range of disciplines, such as Sublinear function and Partition.

His study looks at the intersection of Bipartite graph and topics like Turán number with Rank. Random graph is a subfield of Discrete mathematics that Benny Sudakov explores. His research on Discrete mathematics often connects related areas such as Graph.

- Decompositions into spanning rainbow structures (24 citations)
- A counterexample to Stein's Equi-n-square Conjecture (12 citations)
- An algebraic perspective on integer sparse recovery (12 citations)

- Combinatorics
- Discrete mathematics
- Graph theory

Benny Sudakov focuses on Combinatorics, Conjecture, Graph, Bipartite graph and Ramsey's theorem. Many of his studies on Combinatorics involve topics that are commonly interrelated, such as Discrete mathematics. Benny Sudakov focuses mostly in the field of Conjecture, narrowing it down to topics relating to Disjoint sets and, in certain cases, Matroid and Vector space.

When carried out as part of a general Graph research project, his work on Dense graph is frequently linked to work in Has property, therefore connecting diverse disciplines of study. His study in Bipartite graph is interdisciplinary in nature, drawing from both Log-log plot and Independence number. His Ramsey's theorem research integrates issues from Ramsey theory, Tree, Directed graph and Complete bipartite graph.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Finding a large hidden clique in a random graph

Noga Alon;Michael Krivelevich;Benny Sudakov.

Random Structures and Algorithms **(1998)**

447 Citations

Pseudo-random Graphs

Michael Krivelevich;Benny Sudakov.

arXiv: Combinatorics **(2006)**

406 Citations

Acyclic edge colorings of graphs

Noga Alon;Benny Sudakov;Ayal Zaks.

Journal of Graph Theory **(2001)**

222 Citations

Finding a large hidden clique in a random graph

Noga Alon;Michael Krivelevich;Benny Sudakov.

symposium on discrete algorithms **(1998)**

196 Citations

The Largest Eigenvalue of Sparse Random Graphs

Michael Krivelevich;Benny Sudakov.

Combinatorics, Probability & Computing **(2003)**

191 Citations

Local resilience of graphs

Benny Sudakov;V. H. Vu.

Random Structures and Algorithms **(2008)**

147 Citations

Simulating independence: new constructions of condensers, ramsey graphs, dispersers, and extractors

B. Barak;G. Kindler;R. Shaltiel;B. Sudakov.

symposium on the theory of computing **(2005)**

137 Citations

Simulating independence: new constructions of condensers, ramsey graphs, dispersers, and extractors

Boaz Barak;Guy Kindler;Ronen Shaltiel;Benny Sudakov.

symposium on the theory of computing **(2005)**

134 Citations

Random regular graphs of high degree

Michael Krivelevich;Benny Sudakov;Van H. Vu;Nicholas C. Wormald.

Random Structures and Algorithms **(2001)**

129 Citations

Coloring Graphs with Sparse Neighborhoods

Noga Alon;Michael Krivelevich;Benny Sudakov.

Journal of Combinatorial Theory, Series B **(1999)**

127 Citations

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