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Multiple star systems are commonly assumed to form coevally; they thus provide the anchor for most calibrations of stellar evolutionary models. In this paper we study the binary population of the Taurus-Auriga association, using the…

Solar and Stellar Astrophysics · Physics 2014-11-20 Adam L. Kraus , Lynne A. Hillenbrand

This article examines the relationship between acquaintanceship and coauthorship patterns in a multi-disciplinary, multi-institutional, geographically distributed research center. Two social networks are constructed and compared: a network…

Computers and Society · Computer Science 2011-10-19 Alberto Pepe

We examine gender differences in collaboration networks and academic career progression in physics. We use the likelihood and time to become a principal investigator (PI) and the length of an author's career to measure career progression.…

Physics and Society · Physics 2025-05-23 Mingrong She , Jan Bachmann , Fariba Karimi , Leto Peel

Predicting the collaboration likelihood and measuring cognitive trust to AI systems is more important than ever. To do that, previous research mostly focus solely on the model features (e.g., accuracy, confidence) and ignore the human…

Artificial Intelligence · Computer Science 2024-01-19 Müge Kural , Ali Gebeşçe , Tilek Chubakov , Gözde Gül Şahin

The mechanisms driving different types of scientific innovation through collaboration remain poorly understood. Here we develop a comprehensive framework analyzing over 14 million papers across 19 disciplines from 1960 to 2020 to unpack how…

Digital Libraries · Computer Science 2025-09-09 Bili Zheng , Jianhua Hou

Despite broad acclaim for basic research, science is undergoing an applied shift that marginalizes basic scientists. This gap reflects an incomplete understanding of their distinctive roles, which prevents translating philosophical…

Digital Libraries · Computer Science 2025-09-04 Rikuei Kaku , Mikako Bito , Keita Nishimoto , Ichiro Sakata , Kimitaka Asatani

A co-authorship network of scientists at a university is an archetypical example of a complex evolving network. Collaborative R&D networks are self-organized products of partner choice between scientists. Modern science is, due to the…

Physics and Society · Physics 2009-09-30 Uwe Obermeier , Michael J. Barber , Andreas Krueger , Hannes Brauckmann

Core-collapse supernova feedback models in hydrodynamical simulations typically assume that all stars evolve as single stars. However, the majority of massive stars are formed in binaries and multiple systems, where interactions with a…

We would like to investigate the information contained in our observations and to what extent each of them contributes individually to constraining the physical parameters of the system we are investigating. To do this, we present a study…

Astrophysics · Physics 2007-05-23 O. L Creevey , T. M. Brown , S. Jiménez-Reyes , J. A. Belmonte

Purpose: This study compares the hierarchical structure of scientific teams across countries and investigates factors associated with the observed cross-national differences. Design/methodology/approach: Drawing on 150,817 publications with…

Digital Libraries · Computer Science 2026-04-03 Siyuan Liu , Wenjin Xie , Wenyu Chen , Tao Jia

In tenure decisions, the treatment of co-authored papers often raises questions about a candidate's research independence. This study examines the effects of solo versus collaborative authorship in high-profile Economics journals on…

General Economics · Economics 2025-01-13 Lekang Ren , Danyang Xie

The h index is a widely recognized metric for assessing the research impact of scholars, defined as the maximum value h such that the scholar has published h papers each cited at least h times. While it has proven useful measuring…

Publication statistics are ubiquitous in the ratings of scientific achievement, with citation counts and paper tallies factoring into an individual's consideration for postdoctoral positions, junior faculty, tenure, and even visa status for…

Physics and Society · Physics 2010-03-29 Alexander M. Petersen , Fengzhong Wang , H. Eugene Stanley

Knowledge of the binary population in stellar groupings provides important information about the outcome of the star forming process in different environments. Binarity is also a key ingredient in stellar population studies and is a…

Our uncertainties about binary star systems (and triples and so on) limit our capabilities in literally every single one of the Thematic Areas identified for Astro2020. We need to understand the population statistics of stellar multiplicity…

Understanding why researchers cite certain works remains a key question in the study of scientific networks. Prior research has identified factors such as relevance, group cohesion, and source crediting. However, the interplay between…

Social and Information Networks · Computer Science 2025-04-17 Alejandro Espinosa-Rada , Jürgen Lerner , Cornelius Fritz

We discuss the paper "Citation Statistics" by the Joint Committee on Quantitative Assessment of Research [arXiv:0910.3529]. In particular, we focus on a necessary feature of "good" measures for ranking scientific authors: that good measures…

Methodology · Statistics 2009-10-20 Sune Lehmann , Benny E. Lautrup , Andrew D. Jackson

In this short communication I highlight how the number of collaborators on papers in the main astronomy journals has evolved over time. We see a trend of moving away from single-author papers. This communication is based on data in the…

Digital Libraries · Computer Science 2012-02-22 Edwin A. Henneken

Recognition of individual contributions is fundamental to the scientific reward system, yet coauthored papers obscure who did what. Traditional proxies-author order and career stage-reinforce biases, while contribution statements remain…

Social and Information Networks · Computer Science 2025-02-12 Jiaxin Pei , Lulin Yang , Lingfei Wu

In the past decades, many countries have started to fund academic institutions based on the evaluation of their scientific performance. In this context, post-publication peer review is often used to assess scientific performance.…

Digital Libraries · Computer Science 2023-03-28 V. A. Traag , M. Malgarini , S. Sarlo