World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10839
World Ranking
4840
National Ranking
2254

Overview

Dan Moldovan is affiliated with The University of Texas at Dallas in the United States. Their research spans multiple fields, primarily concentrating on Physics and Astronomy as well as Computer Science. Within these broad disciplines, their work focuses on subfields including Astronomy and Astrophysics, Artificial Intelligence, Instrumentation, Electrical and Electronic Engineering, and Molecular Biology.

The scientist's main research topics cover areas such as Stellar, planetary, and galactic studies, Astro and Planetary Science, Astrophysics and Star Formation Studies, Astronomy and Astrophysical Research, Gamma-ray bursts and supernovae, Explainable Artificial Intelligence (XAI), and Topic Modeling.

Frequent collaborators in their research include Avi Shporer, G. Ricker, Andrew Vanderburg, F. Murgas, and Jon M. Jenkins, with whom multiple joint publications have been produced.

Dan Moldovan has published extensively in several venues. The most frequent publication outlets comprise arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, and Nature.

Recent notable papers from the scientist include:

  • "Underspecification Presents Challenges for Credibility in Modern Machine Learning" (2020, arXiv [Cornell University])
  • "A temperate Earth-sized planet with tidal heating transiting an M6 star" (2023, Nature)
  • "TOI-3235 b: A Transiting Giant Planet around an M4 Dwarf Star" (2023, The Astrophysical Journal Letters)
  • "Two warm Neptunes transiting HIP 9618 revealed by TESS and Cheops" (2023, Monthly Notices of the Royal Astronomical Society)
  • "Laser-based three-dimensional manufacturing technologies for rechargeable batteries" (2021, Nano Convergence)

Best Publications

  • Performance issues and error analysis in an open-domain question answering system

    Dan Moldovan;Marius Paşca;Sanda Harabagiu;Mihai Surdeanu

  • Partitioning and Mapping Algorithms into Fixed Size Systolic Arrays

    Unknown

  • FALCON: Boosting Knowledge for Answer Engines

    Sanda M. Harabagiu;Dan I. Moldovan;Marius. Paşca;Rada Mihalcea

  • On the design of algorithms for VLSI systolic arrays

    Unknown

  • Automatic Discovery of Part-Whole Relations

    Roxana Girju;Adriana Badulescu;Dan Moldovan

  • Learning semantic constraints for the automatic discovery of part-whole relations

    Roxana Girju;Adriana Badulescu;Dan Moldovan

  • LASSO: A Tool for Surfing the Answer Net

    Dan I. Moldovan;Sanda M. Harabagiu;Marius. Paşca;Rada Mihalcea

  • The structure and performance of an open-domain question answering system

    Dan Moldovan;Sanda Harabagiu;Marius Pasca;Rada Mihalcea

  • Text Mining for Causal Relations

    Roxana Girju;Dan I. Moldovan

  • LCC Tools for Question Answering.

    Dan I. Moldovan;Sanda M. Harabagiu;Roxana Girju;Paul Morarescu

  • COGEX: a logic prover for question answering

    Dan Moldovan;Christine Clark;Sanda Harabagiu;Steve Maiorano

  • WordNet 2 - A Morphologically and Semantically Enhanced Resource

    Sanda M. Harabagiu;George A. Miller;Dan I. Moldovan

  • Acquisition of linguistic patterns for knowledge-based information extraction

    Jun-Tae Kim;D.I. Moldovan

  • Using WordNet and lexical operators to improve Internet searches

    D.I. Moldovan;R. Mihalcea

  • On the semantics of noun compounds

    Roxana Girju;Dan Moldovan;Marta Tatu;Daniel Antohe

  • A Method for Word Sense Disambiguation of Unrestricted Text

    Rada Mihalcea;Dan I. Moldovan

  • Issues, Tasks and Program Structures to Roadmap Research in Question & Answering (Q&A)

    John Burger;Claire Cardie;Vinay Chaudhri;Robert Gaizauskas

  • Semantic Indexing using WordNet Senses

    Rada Mihalcea;Dan Moldovan

  • Logic Form Transformation of WordNet and its Applicability to Question Answering

    Dan Moldovan;Vasile Rus

  • Models for the semantic classification of noun phrases

    Dan Moldovan;Adriana Badulescu;Marta Tatu;Daniel Antohe

  • Lexical chains for question answering

    Dan Moldovan;Adrian Novischi

  • An automatic method for generating sense tagged corpora

    Rada Mihalcea;Dan I. Moldovan

Frequent Co-Authors

Sanda M. Harabagiu
Sanda M. Harabagiu The University of Texas at Dallas
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Mihai Surdeanu
Mihai Surdeanu University of Arizona
Ronald F. DeMara
Ronald F. DeMara University of Central Florida
George A. Miller
George A. Miller Princeton University
Ellen M. Voorhees
Ellen M. Voorhees National Institute of Standards and Technology
Robert Gaizauskas
Robert Gaizauskas University of Sheffield
Ellen Riloff
Ellen Riloff University of Utah
Claire Cardie
Claire Cardie Cornell University
Chin-Yew Lin
Chin-Yew Lin Microsoft Research Asia (China)

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