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Datasets explicitly linking publications to funding at project level are the basis of evaluative bibliometric analysis of funding programmes. Analysis of the impact of the EU funding programmes has been often frustrated by the lack of data…

数字图书馆 · 计算机科学 2021-09-03 Alexis-Michel Mugabushaka

Analysis of acknowledgments is particularly interesting as acknowledgments may give information not only about funding, but they are also able to reveal hidden contributions to authorship and the researcher's collaboration patterns, context…

数字图书馆 · 计算机科学 2023-05-26 Nina Smirnova , Philipp Mayr

Despite the success of PubMed and other search engines in managing the massive volume of biomedical literature and the retrieval of individual publications, grant-related data remains scattered and relatively inaccessible. This is…

This article contributes to the development of methods for analysing research funding systems by exploring the robustness and comparability of emerging approaches to generate funding landscapes useful for policy making. We use a novel…

数字图书馆 · 计算机科学 2016-04-19 Nicola Grassano , Daniele Rotolo , Josh Hutton , Frédérique Lang , Michael M. Hopkins

Grant recommendation systems remain one of the least explored areas within academic recommender systems, and existing proposals are typically tied to specific funding agencies or disciplinary domains. This paper presents an…

Online bibliographic databases have enabled new research through which bibliographic records are analyzed as data about science. Within these records, the acknowledgements sections of papers are often used to draw conclusions about funding…

数字图书馆 · 计算机科学 2022-09-13 Gretchen Stahlman

Public funding plays a central role in driving scientific discovery. To better understand the link between research inputs and outputs, we introduce FIND (Funding-Impact NSF Database), an open-access dataset that systematically links NSF…

数字图书馆 · 计算机科学 2025-10-14 Kazimier Smith , Yucheng Lu , Qiaochu Fan

While philanthropic support for science has increased in the past decade, there is limited quantitative knowledge about the patterns that characterize it and the mechanisms that drive its distribution. Here, we map philanthropic funding to…

物理与社会 · 物理学 2022-12-09 Louis M. Shekhtman , Alexander J. Gates , Albert-László Barabási

Funding acknowledgements found in scientific publications have been used to study the impact of funding on research since the 1970s. However, no broad scale indexation of that paratextual element was done until 2008, when Thomson Reuters…

数字图书馆 · 计算机科学 2016-04-19 Adele Paul-Hus , Nadine Desrochers , Rodrigo Costas

Funding acknowledgments are important objects of study in the context of science funding. This study uses a mixed-methods approach to analyze the funding acknowledgments found in 2.3 million scientific publications published between 2008…

数字图书馆 · 计算机科学 2024-05-17 Jamal El-Ouahi

In a context of ever more specialized scientists, interdisciplinarity receives increasing attention as innovating ideas are often situated where the disciplines meet. In many countries science policy makers installed dedicated funding…

数字图书馆 · 计算机科学 2013-07-26 Nadine Rons

Public agencies like the U.S. National Science Foundation (NSF) and the National Institutes of Health (NIH) award tens of billions of dollars in annual science funding. How can this money be distributed as efficiently as possible to best…

物理与社会 · 物理学 2013-04-04 Johan Bollen , David Crandall , Damion Junk , Ying Ding , Katy Boerner

Purpose: Academic citation and social attention measure different dimensions in the impact of research results. We quantify the contribution of funding to both indicators considering the differences attributable to the research field and…

数字图书馆 · 计算机科学 2023-04-04 Pablo Dorta-González , María Isabel Dorta-González

Discovering authoritative links between publications and the datasets that they use can be a labor-intensive process. We introduce a natural language processing pipeline that retrieves and reviews publications for informal references to…

数字图书馆 · 计算机科学 2023-05-03 Sara Lafia , Lizhou Fan , Libby Hemphill

Automatic extraction of funding information from academic articles adds significant value to industry and research communities, such as tracking research outcomes by funding organizations, profiling researchers and universities based on the…

计算与语言 · 计算机科学 2022-09-21 Gizem Aydin , Seyed Amin Tabatabaei , Giorgios Tsatsaronis , Faegheh Hasibi

Acknowledgments in scientific papers may give an insight into aspects of the scientific community, such as reward systems, collaboration patterns, and hidden research trends. The aim of the paper is to evaluate the performance of different…

计算与语言 · 计算机科学 2022-06-23 Nina Smirnova , Philipp Mayr

Linking research results to grants is an essential prerequisite for an effective monitoring and evaluation of funding programs. For the EU research funding programs, there are multiple datasets linking scholarly publications to the…

数字图书馆 · 计算机科学 2021-09-23 Alexis-Michel Mugabushaka , Miriam Baglioni , Alessia Bardi , Paolo Manghi

Understanding the broad impact of science and science funding is critical to ensuring that science investments and policies align with societal needs. Existing research links science funding to the output of scientific publications but…

人机交互 · 计算机科学 2025-09-23 Yifang Wang , Yifan Qian , Xiaoyu Qi , Yian Yin , Shengqi Dang , Ziqing Qian , Benjamin F. Jones , Nan Cao , Dashun Wang

A citation is a well-established mechanism for connecting scientific artifacts. Citation networks are used by citation analysis for a variety of reasons, prominently to give credit to scientists' work. However, because of current citation…

信息检索 · 计算机科学 2020-01-17 Tong Zeng , Longfeng Wu , Sarah Bratt , Daniel E. Acuna

We present the problem of finding comparable researchers for any given researcher. This problem has many motivations. Firstly, know thyself. The answers of where we stand among research community and who we are most alike may not be easily…

数字图书馆 · 计算机科学 2014-07-08 Graham Cormode , S. Muthukrishnan , Jinyun Yan
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