2026 Daniel Marcu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	67	2162	2095	1085	1044	165	22692

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

2162

2095

1085

1044

165

22692

Overview

Daniel Marcu is affiliated with the University of Southern California in the United States. Their research primarily focuses on the intersection of computer science and molecular biology, with a particular emphasis on artificial intelligence applications within these fields.

The main fields of study covered in their work include:

Computer Science
Biochemistry, Genetics and Molecular Biology

Within these areas, Marcu's subfields of expertise encompass:

Artificial Intelligence
Molecular Biology

Their research addresses several key topics, notably:

Topic Modeling
Biomedical Text Mining and Ontologies
Natural Language Processing Techniques

Among recent papers authored or co-authored by Daniel Marcu are:

NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding, published in 2021 in npj Systems Biology and Applications
NERO: A Biomedical Named-entity (Recognition) Ontology with a Large, Annotated Corpus Reveals Meaningful Associations Through Text Embedding, published in 2020 in bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors in Marcu's work include:

Kanix Wang
Robert Stevens
Halima Alachram
Yu Li
Larisa Soldatova

Their publications appear predominantly in venues such as:

npj Systems Biology and Applications
bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

Statistical phrase-based translation

Philipp Koehn;Franz Josef Och;Daniel Marcu

3406
Citations
Domain adaptation for statistical classifiers

Hal Daumé;Daniel Marcu

1050
Citations
The Theory and Practice of Discourse Parsing and Summarization

Daniel Marcu

940
Citations
The Rhetorical Parsing of Unrestricted Natural Language Texts

Daniel Marcu

709
Citations
Summarization beyond sentence extraction: a probabilistic approach to sentence compression

Kevin Knight;Daniel Marcu

659
Citations
A Phrase-Based,Joint Probability Model for Statistical Machine Translation

Daniel Marcu;Daniel Wong

654
Citations
What’s in a translation rule?

Michel Galley;Mark Hopkins;Kevin Knight;Daniel Marcu

642
Citations
Search-based structured prediction

Hal Daumé;John Langford;Daniel Marcu

634
Citations
Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory

Lynn Carlson;Daniel Marcu;Mary Ellen Okurowski

610
Citations
Statistics-Based Summarization - Step One: Sentence Compression

Kevin Knight;Daniel Marcu

594
Citations
Scalable Inference and Training of Context-Rich Syntactic Translation Models

Michel Galley;Jonathan Graehl;Kevin Knight;Daniel Marcu

547
Citations
An Unsupervised Approach to Recognizing Discourse Relations

Daniel Marcu;Abdessamad Echihabi

543
Citations
Sentence level discourse parsing using syntactic and lexical information

Radu Soricut;Daniel Marcu

539
Citations
Improving Machine Translation Performance by Exploiting Non-Parallel Corpora

Dragos Stefan Munteanu;Daniel Marcu

517
Citations
From discourse structures to text summaries

Daniel Marcu

457
Citations
The rhetorical parsing, summarization, and generation of natural language texts

Graeme Hirst;Daniel C. Marcu

389
Citations
Fast and optimal decoding for machine translation

Ulrich Germann;Michael Jahr;Kevin Knight;Daniel Marcu

372
Citations
The rhetorical parsing of unrestricted texts: a surface-based approach

Daniel Marcu

349
Citations
Fast Decoding and Optimal Decoding for Machine Translation

Ulrich Germann;Michael Jahr;Kevin Knight;Daniel Marcu

326
Citations
Learning as search optimization: approximate large margin methods for structured prediction

Hal Daumé;Daniel Marcu

323
Citations

Frequent Co-Authors

Kevin Knight University of Southern California

Hal Daumé University of Maryland, College Park

Philipp Koehn Johns Hopkins University

Jill Burstein Princeton University

Graeme Hirst University of Toronto

Michel Galley Microsoft (United States)

Raymond Reiter University of Toronto

Shrikanth S. Narayanan University of Southern California

Hector J. Levesque University of Toronto

Panayiotis G. Georgiou University of Southern California

External Links

Personal website of Daniel Marcu

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