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Related papers: Astrophysics Source Code Library: Incite to Cite!

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Scientific writing involves retrieving, summarizing, and citing relevant papers, which can be time-consuming processes in large and rapidly evolving fields. By making these processes inter-operable, natural language processing (NLP)…

Computation and Language · Computer Science 2023-11-07 Nianlong Gu , Richard H. R. Hahnloser

Open source software (OSS) is essential for modern society and, while substantial research has been done on individual (typically central) projects, only a limited understanding of the periphery of the entire OSS ecosystem exists. For…

Software Engineering · Computer Science 2020-11-02 Yuxing Ma , Tapajit Dey , Chris Bogart , Sadika Amreen , Marat Valiev , Adam Tutko , David Kennard , Russell Zaretzki , Audris Mockus

The ADS All-Sky Survey (ADSASS) is an ongoing effort aimed at turning the NASA Astrophysics Data System (ADS), widely known for its unrivaled value as a literature resource for astronomers, into a data resource. The ADS is not a data…

Instrumentation and Methods for Astrophysics · Physics 2015-03-19 Alberto Pepe , Alyssa Goodman , August Muench

Calls to make scientific research more open have gained traction with a range of societal stakeholders. Open Science practices include but are not limited to the early sharing of results via preprints and openly sharing outputs such as data…

The Astronomical Genealogy Project (AstroGen) has been underway since January 2013. This project of the Historical Astronomy Division (HAD) of the American Astronomical Society (AAS) has been online since July 2020, courtesy of the AAS. The…

Instrumentation and Methods for Astrophysics · Physics 2023-09-25 Joseph S. Tenn

Scientific computation is a discipline that combines numerical analysis, physical understanding, algorithm development, and structured programming. Several yottacycles per year on the world's largest computers are spent simulating problems…

Programming Languages · Computer Science 2018-01-10 Matthew G. Knepley

Citation recommendation is intended to assist researchers in the process of searching for relevant papers to cite by recommending appropriate citations for a given input text. Existing test collections for this task are noisy and unreliable…

Information Retrieval · Computer Science 2021-08-18 Florian Boudin

We demonstrate conclusively that there is no "Open Access Advantage" for papers from the Astrophysical Journal. The two to one citation advantage enjoyed by papers deposited in the arXiv e-print server is due entirely to the nature and…

Digital Libraries · Computer Science 2007-09-07 Michael J. Kurtz , Edwin A. Henneken

Identifying the intent of a citation in scientific papers (e.g., background information, use of methods, comparing results) is critical for machine reading of individual publications and automated analysis of the scientific literature. We…

Computation and Language · Computer Science 2019-10-01 Arman Cohan , Waleed Ammar , Madeleine van Zuylen , Field Cady

Apache Spark is a Big Data framework for working on large distributed datasets. Although widely used in the industry, it remains rather limited in the academic community or often restricted to software engineers. The goal of this paper is…

Instrumentation and Methods for Astrophysics · Physics 2019-07-17 S. Plaszczynski , J. Peloton , C. Arnault , J. E. Campagne

In contemporary astronomy and astrophysics (A&A), the integration of high-performance computing (HPC), big data analytics, and artificial intelligence/machine learning (AI/ML) has become essential for advancing research across a wide range…

The Smithsonian/NASA ADS Abstract Service contains a wealth of data for astronomers and librarians alike, yet the vast majority of usage consists of rudimentary searches. Hints on how to obtain more focused search results by using more of…

Since it was first announced at ADASS 2 the Smithsonian/NASA Astrophysics System Abstract Service (ADS) has played a central role in the information seeking behavior of astronomers. Central to the ability of the ADS to act as a search and…

The rapid growth in scale and complexity of both computational and observational astrophysics over the past decade necessitates efficient and intuitive methods for examining and visualizing large datasets. Here, I present {\it AstroBlend},…

Instrumentation and Methods for Astrophysics · Physics 2016-02-11 J. P. Naiman

As many research papers in astronomy have been written since the beginning of the 21st century as had been written previously. This exponential growth has been accompanied by substantial changes in the structure of astrophysics research,…

Instrumentation and Methods for Astrophysics · Physics 2026-03-24 Michael J. Kurtz , Carlolyn S. Grant , Matthew R. Templeton , The ADS/SciX Team

Scientific digital libraries play a critical role in the development and dissemination of scientific literature. Despite dedicated search engines, retrieving relevant publications from the ever-growing body of scientific literature remains…

Information Retrieval · Computer Science 2021-06-29 Florian Boudin , Béatrice Daille , Evelyne Jacquey , Jian-Yun Nie

We have used data from ADS, AAS, and astro-ph, to study the publishing, preprint posting, and citation patterns for papers published in the ApJ in 1999 and 2002. This allowed us to track statistical trends in author demographics, preprint…

Astrophysics · Physics 2007-05-23 Greg J. Schwarz , Robert C. Kennicutt

Currently, the processing of scientific data in astroparticle physics is based on various distributed technologies, the most common of which are Grid and cloud computing. The most frequently discussed approaches are focused on large and…

Instrumentation and Methods for Astrophysics · Physics 2020-10-13 Alexander Kryukov , Igor Bychkov , Elena Korosteleva , Andrey Mikhailov , Minh-Duc Nguyen

Current and future astroparticle physics experiments are operated or are being built to observe highly energetic particles, high energy electromagnetic radiation and gravitational waves originating from all kinds of cosmic sources. The data…

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