D-Index & Metrics Best Publications

Daniel Marcu

University of Southern California
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 66 Citations 21,596 149 World Ranking 1444 National Ranking 813

Overview

What is he best known for?

The fields of study Daniel Marcu is best known for:

Artificial intelligence
Machine learning
Statistics

His Mathematical analysis research is intertwined with Domain (mathematical analysis) and Tree (set theory). Daniel Marcu integrates Domain (mathematical analysis) and Mathematical analysis in his research. His Artificial intelligence study frequently links to other fields, such as Sentence. In his works, Daniel Marcu undertakes multidisciplinary study on Natural language processing and Natural language understanding. His study brings together the fields of Domain adaptation and Classifier (UML). His research on Programming language frequently connects to adjacent areas such as Classifier (UML). Daniel Marcu merges Linguistics with Parsing in his research. Daniel Marcu applies his multidisciplinary studies on Parsing and Natural language in his research. His work in Natural language is not limited to one particular discipline; it also encompasses Natural language understanding.

His most cited work include:

Domain Adaptation for Statistical Classifiers (707 citations)
Summarization beyond sentence extraction: A probabilistic approach to sentence compression (462 citations)
Search-based structured prediction (418 citations)

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

Artificial intelligence and Classifier (UML) are frequently intertwined in his study. Daniel Marcu combines topics linked to Artificial intelligence with his work on Classifier (UML). The study of Natural language processing is intertwined with the study of Sentence in a number of ways. His Programming language study frequently links to other fields, such as Set (abstract data type). His Programming language research extends to the thematically linked field of Set (abstract data type). His research on Linguistics often connects related areas such as Word (group theory). His studies link Linguistics with Word (group theory). His study connects Parallel corpora and Machine translation. His study on Parallel corpora is mostly dedicated to connecting different topics, such as Machine translation.

Daniel Marcu most often published in these fields:

Artificial intelligence (86.21%)
Natural language processing (58.62%)
Programming language (44.83%)

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