What is he best known for?
The fields of study Neri Merhav is best known for:
- Information theory
- Statistics
- Data compression
In the subject of Artificial intelligence, Neri Merhav integrates adjacent scientific disciplines such as Class (philosophy) and Probabilistic logic.
His research combines Artificial intelligence and Class (philosophy).
His research links Statistics with Probabilistic logic.
With his scientific publications, his incorporates both Statistics and Random variable.
His Operating system study typically links adjacent topics like Redundancy (engineering) and Encoder.
He integrates Redundancy (engineering) with Operating system in his study.
While working in this field, he studies both Encoder and Data compression.
He integrates many fields in his works, including Data compression and Rate–distortion theory.
Neri Merhav performs multidisciplinary study in Algorithm and Asymptotically optimal algorithm in his work.
His most cited work include:
- Hidden Markov processes (754 citations)
- Universal prediction (410 citations)
- On information rates for mismatched decoders (380 citations)
What are the main themes of his work throughout his whole career to date
Neri Merhav connects Algorithm with Programming language in his research.
He connects Programming language with Algorithm in his study.
Neri Merhav brings together Statistics and Markov chain to produce work in his papers.
His Artificial intelligence study frequently links to adjacent areas such as Image (mathematics).
Discrete mathematics and Combinatorics are two areas of study in which Neri Merhav engages in interdisciplinary work.
He incorporates Combinatorics and Discrete mathematics in his research.
In his research, he undertakes multidisciplinary study on Decoding methods and Block code.
In his work, he performs multidisciplinary research in Block code and Decoding methods.
Neri Merhav performs multidisciplinary study in the fields of Theoretical computer science and Artificial intelligence via his papers.
Neri Merhav most often published in these fields:
- Algorithm (81.25%)
- Statistics (70.83%)
- Artificial intelligence (41.67%)
What were the highlights of his more recent work (between 2010-2013)?
- Algorithm (77.78%)
- Statistics (77.78%)
- Theoretical computer science (44.44%)
In recent works Neri Merhav was focusing on the following fields of study:
In the subject of Programming language, Neri Merhav integrates adjacent academic fields such as Erasure, Message passing and Set (abstract data type).
Many of his studies on Set (abstract data type) apply to Programming language as well.
Neri Merhav combines topics linked to Upper and lower bounds and Multiplicative function with his work on Mathematical analysis.
He integrates several fields in his works, including Upper and lower bounds and Algorithm.
As part of his studies on Algorithm, Neri Merhav often connects relevant areas like Estimation theory.
His study in Mathematical analysis extends to Multiplicative function with its themes.
Statistics is closely attributed to Threshold model in his study.
Neri Merhav integrates many fields, such as Theoretical computer science and Cryptography, in his works.
He conducts interdisciplinary study in the fields of Cryptography and Theoretical computer science through his works.
Between 2010 and 2013, his most popular works were:
- Error Exponents for Broadcast Channels With Degraded Message Sets (39 citations)
- Exact Random Coding Exponents for Erasure Decoding (35 citations)
- Optimum Estimation via Gradients of Partition Functions and Information Measures: A Statistical-Mechanical Perspective (21 citations)
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