What is he best known for?
The fields of study he is best known for:
- Algorithm
- Artificial intelligence
- Gene
Benny Chor focuses on Cryptography, Discrete mathematics, Computer security, Combinatorics and Private information retrieval.
Benny Chor has researched Cryptography in several fields, including Ciphertext, Arithmetic and Public-key cryptography.
He has researched Discrete mathematics in several fields, including Plaintext and Pseudorandom number generator.
The study incorporates disciplines such as Verifiable secret sharing and Tracing in addition to Computer security.
His work on Zero–one law, Parameterized complexity and Clique as part of general Combinatorics study is frequently linked to Function and Dominating set, bridging the gap between disciplines.
Benny Chor works mostly in the field of Private information retrieval, limiting it down to topics relating to Information retrieval and, in certain cases, Scheme and Oblivious ram.
His most cited work include:
- Private information retrieval (1387 citations)
- Private information retrieval (949 citations)
- Verifiable secret sharing and achieving simultaneity in the presence of faults (630 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Discrete mathematics, Combinatorics, Theoretical computer science, Phylogenetic tree and Algorithm.
The various areas that Benny Chor examines in his Discrete mathematics study include Computational complexity theory, Set, Ciphertext and Secret sharing.
Benny Chor works mostly in the field of Secret sharing, limiting it down to concerns involving Verifiable secret sharing and, occasionally, Computer security.
His Combinatorics research is multidisciplinary, incorporating elements of Maximum parsimony and Optimality criterion.
His research in Theoretical computer science is mostly focused on Communication complexity.
His research integrates issues of Tree, Protein Interaction Networks, Artificial intelligence and KEGG in his study of Phylogenetic tree.
He most often published in these fields:
- Discrete mathematics (31.37%)
- Combinatorics (26.14%)
- Theoretical computer science (15.03%)
What were the highlights of his more recent work (between 2010-2019)?
- Computational biology (7.84%)
- Combinatorics (26.14%)
- Genome (5.88%)
In recent papers he was focusing on the following fields of study:
Benny Chor spends much of his time researching Computational biology, Combinatorics, Genome, Genetics and Artificial intelligence.
His Combinatorics research integrates issues from Prefix order and Phylogenetic tree.
His work focuses on many connections between Genome and other disciplines, such as CRISPR, that overlap with his field of interest in Graph.
Many of his research projects under Genetics are closely connected to Logarithm and Generalization with Logarithm and Generalization, tying the diverse disciplines of science together.
His Artificial intelligence research incorporates themes from RNA and Natural language processing.
Benny Chor conducted interdisciplinary study in his works that combined Order and Discrete mathematics.
Between 2010 and 2019, his most popular works were:
- Computational thinking in life science education (32 citations)
- A deep neural network approach for learning intrinsic protein-RNA binding preferences. (31 citations)
- Extending partial haplotypes to full genome haplotypes using chromosome conformation capture data. (21 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Artificial intelligence
- Programming language
Benny Chor mostly deals with Artificial intelligence, Genetics, Computational biology, Software and Genome.
Benny Chor interconnects Tree and Violin in the investigation of issues within Artificial intelligence.
His work carried out in the field of Genetics brings together such families of science as Logarithmic growth and Combinatorics.
Benny Chor has included themes like Artificial neural network, Recurrent neural network, RNA, Reconstruction method and Phylogenetic network in his Computational biology study.
His studies deal with areas such as Science education, Engineering ethics, Bioinformatics and Computational thinking as well as Software.
His Genome research incorporates elements of Evolutionary pressure and Phylogenetic tree.
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.
