D-Index & Metrics Best Publications

Alon Orlitsky

University of California, San Diego
United States

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 35 Citations 5,513 146 World Ranking 7648 National Ranking 3575

Research.com Recognitions

Awards & Achievements

2021 - IEEE Claude E. Shannon Award

Overview

What is he best known for?

The fields of study Alon Orlitsky is best known for:

Statistics
Information theory
Data compression

His Linguistics research is linked to Zero (linguistics) and Alphabet. His study brings together the fields of Linguistics and Zero (linguistics). His work blends Statistics and Coding (social sciences) studies together. Coding (social sciences) is frequently linked to Variable-length code in his study. Alon Orlitsky conducted interdisciplinary study in his works that combined Variable-length code and Shannon–Fano coding. His work on Statistics expands to the thematically related Shannon–Fano coding. Many of his studies on Algorithm involve topics that are commonly interrelated, such as Probability of error. His work in Probability of error is not limited to one particular discipline; it also encompasses Algorithm. Alon Orlitsky combines Discrete mathematics and Applied mathematics in his research.

His most cited work include:

Coding for computing (401 citations)
Stopping Set Distribution of LDPC Code Ensembles (215 citations)
Zero-error information theory (209 citations)

What are the main themes of his work throughout his whole career to date

Alon Orlitsky connects relevant research areas such as Random variable, Estimator and Principle of maximum entropy in the realm of Statistics. With his scientific publications, his incorporates both Estimator and Statistics. Alon Orlitsky is involved in relevant fields of research such as Upper and lower bounds and Distribution (mathematics) in the domain of Mathematical analysis. In his study, he carries out multidisciplinary Distribution (mathematics) and Mathematical analysis research. Borrowing concepts from Applied mathematics, he weaves in ideas under Discrete mathematics. In his research, Alon Orlitsky undertakes multidisciplinary study on Applied mathematics and Discrete mathematics. His research ties Binary logarithm and Combinatorics together. As part of his studies on Binary logarithm, Alon Orlitsky often connects relevant subjects like Combinatorics. He merges many fields, such as Algorithm and Programming language, in his writings.

Alon Orlitsky most often published in these fields:

Discrete mathematics (57.78%)
Statistics (57.78%)
Combinatorics (55.56%)

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