D-Index & Metrics Best Publications
Daniel Gruen

Daniel Gruen

Stanford University
United States

Overview

What is he best known for?

The fields of study he is best known for:

  • Astronomy
  • Statistics
  • Galaxy

His primary areas of investigation include Astrophysics, Galaxy, Astronomy, Dark energy and Redshift. His is involved in several facets of Astrophysics study, as is seen by his studies on Milky Way, Weak gravitational lensing, Dark matter, Photometric redshift and Dwarf galaxy. His research investigates the connection between Dark matter and topics such as Supernova that intersect with issues in Halo and Light curve.

Many of his research projects under Astronomy are closely connected to European research and National laboratory with European research and National laboratory, tying the diverse disciplines of science together. His Dark energy study combines topics in areas such as COSMIC cancer database, Cosmic microwave background and Data set. Daniel Gruen has included themes like LIGO, Galaxy cluster and Sigma in his Redshift study.

His most cited work include:

  • Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing (670 citations)
  • The Dark Energy Survey: more than dark energy - an overview (513 citations)
  • The Dark Energy Survey: more than dark energy - an overview (513 citations)

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

His main research concerns Astrophysics, Dark energy, Galaxy, Redshift and Astronomy. Weak gravitational lensing, Supernova, Galaxy cluster, Dark matter and Light curve are subfields of Astrophysics in which his conducts study. His research in Dark energy intersects with topics in Cluster analysis, Planck, Cosmic microwave background and Sky.

His studies link Photometry with Galaxy. His work carried out in the field of Redshift brings together such families of science as Luminosity and Quasar. As part of his studies on Astronomy, Daniel Gruen often connects relevant areas like Library science.

He most often published in these fields:

  • Astrophysics (106.74%)
  • Dark energy (72.41%)
  • Galaxy (68.34%)

What were the highlights of his more recent work (between 2019-2021)?

  • Astrophysics (106.74%)
  • Dark energy (72.41%)
  • Galaxy (68.34%)

In recent papers he was focusing on the following fields of study:

Daniel Gruen focuses on Astrophysics, Dark energy, Galaxy, Redshift and Weak gravitational lensing. Supernova, Light curve, Quasar, Stellar mass and Luminosity are the primary areas of interest in his Astrophysics study. His Dark energy research is within the category of Cosmology.

His Galaxy research incorporates elements of Dark matter and Photometry. His studies deal with areas such as Gravitational wave and Galaxy cluster as well as Redshift. Within one scientific family, Daniel Gruen focuses on topics pertaining to Sigma under Weak gravitational lensing, and may sometimes address concerns connected to COSMIC cancer database.

Between 2019 and 2021, his most popular works were:

  • STRIDES : a 3.9 per cent measurement of the Hubble constant from the strong lens system DES J0408−5354 (87 citations)
  • Dark energy survey year 1 results: Cosmological constraints from cluster abundances and weak lensing (60 citations)
  • The SPTpol Extended Cluster Survey (46 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Astronomy
  • Galaxy

His primary scientific interests are in Astrophysics, Dark energy, Galaxy, Redshift and Cosmology. His study involves Supernova, Light curve, Quasar, Milky Way and Halo, a branch of Astrophysics. His study in Dark energy is interdisciplinary in nature, drawing from both Telescope, Trans-Neptunian object, Weak gravitational lensing, Stellar mass and Sigma.

Daniel Gruen has researched Galaxy in several fields, including Dark matter, Cosmic microwave background and Photometry. His Hubble's law study in the realm of Redshift connects with subjects such as Omega. He interconnects Data release, Data set and Photometric calibration in the investigation of issues within Cosmology.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing

T. M. C. Abbott;F. B. Abdalla;A. Alarcon;J. Aleksić.
Physical Review D (2018)

975 Citations

The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/VIRGO GW170817. II. UV, Optical, and Near-IR Light Curves and Comparison to Kilonova Models

P. S. Cowperthwaite;E. Berger;V. A. Villar;B. D. Metzger.
arXiv: High Energy Astrophysical Phenomena (2017)

876 Citations

Eight New Milky Way Companions Discovered in First-Year Dark Energy Survey Data

K. Bechtol;A. Drlica-Wagner;E. Balbinot.
arXiv: Astrophysics of Galaxies (2015)

783 Citations

The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. II. UV, Optical, and Near-infrared Light Curves and Comparison to Kilonova Models

P. S. Cowperthwaite;E. Berger;V. A. Villar;B. D. Metzger.
The Astrophysical Journal (2017)

682 Citations

A gravitational-wave standard siren measurement of the Hubble constant

B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese;F. Acernese.
Nature (2017)

679 Citations

The Dark Energy Survey: more than dark energy - an overview

T. Abbott;F. B. Abdalla;J. Aleksić.
Monthly Notices of the Royal Astronomical Society (2016)

659 Citations

Eight Ultra-faint Galaxy Candidates Discovered in Year Two of the Dark Energy Survey

A. Drlica-Wagner;K. Bechtol;E. S. Rykoff.
arXiv: Astrophysics of Galaxies (2015)

642 Citations

Eight new Milky Way companions discovered in first-year Dark Energy Survey data

K. Bechtol;A. Drlica-Wagner;E. Balbinot;A. Pieres.
The Astrophysical Journal (2015)

588 Citations

The Dark Energy Survey Data Release 1

T. M. C. Abbott;F. B. Abdalla;S. Allam;A. Amara.
arXiv: Instrumentation and Methods for Astrophysics (2018)

568 Citations

The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. I. Dark Energy Camera Discovery of the Optical Counterpart

M. Soares-Santos;D. E. Holz;J. Annis;R. Chornock.
arXiv: High Energy Astrophysical Phenomena (2017)

556 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Daniel Gruen

Masamune Oguri

Masamune Oguri

Kavli Institute for the Physics and Mathematics of the Universe

Publications: 152

Keiichi Umetsu

Keiichi Umetsu

Institute of Astronomy and Astrophysics, Academia Sinica

Publications: 105

Henk Hoekstra

Henk Hoekstra

Leiden University

Publications: 105

Catherine Heymans

Catherine Heymans

University of Edinburgh

Publications: 99

David N. Spergel

David N. Spergel

Princeton University

Publications: 84

Jean-Paul Kneib

Jean-Paul Kneib

École Polytechnique Fédérale de Lausanne

Publications: 83

Sergey E. Koposov

Sergey E. Koposov

University of Edinburgh

Publications: 80

Stefano Ettori

Stefano Ettori

National Institute for Astrophysics

Publications: 78

Konrad Kuijken

Konrad Kuijken

Leiden University

Publications: 77

Risa H. Wechsler

Risa H. Wechsler

Stanford University

Publications: 76

Massimo Meneghetti

Massimo Meneghetti

National Institute for Astrophysics

Publications: 76

Rachel Mandelbaum

Rachel Mandelbaum

Carnegie Mellon University

Publications: 75

M. Nicholl

M. Nicholl

University of Birmingham

Publications: 73

Peter Schneider

Peter Schneider

University of Bonn

Publications: 71

Anna Frebel

Anna Frebel

MIT

Publications: 70

Daniel E. Holz

Daniel E. Holz

University of Chicago

Publications: 69

Trending Scientists

Vinod Chandran

Vinod Chandran

Queensland University of Technology

Irene M. Gamba

Irene M. Gamba

The University of Texas at Austin

Bo Egardt

Bo Egardt

Chalmers University of Technology

Nae-Lih Wu

Nae-Lih Wu

National Taiwan University

Michael Giersig

Michael Giersig

Japanese Society for Artificial Intelligence

Xianhong Rui

Xianhong Rui

Guangdong University of Technology

Ayellet V. Segrè

Ayellet V. Segrè

Massachusetts Eye and Ear Infirmary

James P. Syvertsen

James P. Syvertsen

University of Florida

Wendy B. Macklin

Wendy B. Macklin

University of Colorado Anschutz Medical Campus

Richard A. Adegbola

Richard A. Adegbola

GlaxoSmithKline (United Kingdom)

Angela Cox

Angela Cox

University of Sheffield

Paolo Palatini

Paolo Palatini

University of Padua

Dongsheng Tu

Dongsheng Tu

Queen's University

Gordon F. Tomaselli

Gordon F. Tomaselli

Johns Hopkins University

Alastair J. J. Wood

Alastair J. J. Wood

Vanderbilt University

Hoang Van Minh

Hoang Van Minh

Hanoi University

Something went wrong. Please try again later.