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The popularity and rapid development of Cloud Computing in recent years has led to a vast number of publications capturing the accumulated knowledge in this field. Due to the interdisciplinary nature and significant relevance of cloud…

Computer Science and Game Theory · Computer Science 2026-05-26 Smruti Rekha Swain

Quickly moving to a new area of research is painful for researchers due to the vast amount of scientific literature in each field of study. One possible way to overcome this problem is to summarize a scientific topic. In this paper, we…

Information Retrieval · Computer Science 2008-07-11 Vahed Qazvinian , Dragomir R. Radev

The problem of co-authors selection in the area of scientific collaborations might be a daunting one. In this paper, we propose a new pipeline that effectively utilizes citation data in the link prediction task on the co-authorship network.…

Digital Libraries · Computer Science 2021-12-01 Vladislav Tishin , Artyom Sosedka , Peter Ibragimov , Vadim Porvatov

Scientists often use meta-analysis to characterize the impact of an intervention on some outcome of interest across a body of literature. However, threats to the utility and validity of meta-analytic estimates arise when scientists average…

Human-Computer Interaction · Computer Science 2023-02-21 Alex Kale , Sarah Lee , Terrance Goan , Elizabeth Tipton , Jessica Hullman

This article presents a concept model, and the associated tool to help advanced learners to find adapted bibliography. The purpose is the use of an IT representation as educational research software for newcomers in research. We use an…

Digital Libraries · Computer Science 2012-02-07 Gérald Kembellec , Imad Saleh , Catherine Sauvaget

The increase in the number of publications has made more difficult for authors to situate their work within previous literature, especially on subjects studied from different disciplinary viewpoints. Besides, new data analysis techniques…

Digital Libraries · Computer Science 2020-11-30 C. Cottineau , J. Raimbault , P. -O. Chasset , H. Commenges , A. Banos , D. Pumain

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…

Digital Libraries · Computer Science 2023-05-03 Sara Lafia , Lizhou Fan , Libby Hemphill

Systematic scientometric reviews, empowered by scientometric and visual analytic techniques, offer opportunities to improve the timeliness, accessibility, and reproducibility of conventional systematic reviews. While increasingly accessible…

Digital Libraries · Computer Science 2020-12-24 Chaomei Chen , Min Song

Bibliographic analysis considers author's research areas, the citation network and paper content among other things. In this paper, we combine these three in a topic model that produces a bibliographic model of authors, topics and documents…

Digital Libraries · Computer Science 2016-09-23 Kar Wai Lim , Wray Buntine

Networks are a natural and popular mechanism for the representation and investigation of a broad class of systems. But extracting information from a network can present significant challenges. We present NetzCope, a software application for…

Data Analysis, Statistics and Probability · Physics 2017-08-23 Michael J. Barber , Ludwig Streit , Oleg Strogan

The exponential increase in academic publications has made it increasingly difficult for researchers to remain up to date and systematically synthesize knowledge scattered across vast and fragmented research domains. Literature reviews,…

Digital Libraries · Computer Science 2025-06-12 Kiran Sharmaa , Parul Khurana , Ziya Uddina

Assessing advancements of technology is essential for creating science and technology policies and making informed investments in the technology market. However, current methods primarily focus on the characteristics of the technologies…

Applications · Statistics 2023-05-10 Shengxuan Tang , Liming Zhang , Shuo Jiang , Ming Cai , Yao Xiao

HistCite TM is a large-scale computer tool for mapping science. Its power of visualization combines the production of historiographs on the basis of the analysis of co-citations of documents, with the use of bibliometrics specific…

Digital Libraries · Computer Science 2015-12-23 Enrique Wulff Barreiro

Communication networks, in general, and internet technology, in particular, is a fast-evolving area of research. While it is important to keep track of emerging trends in this domain, it is such a fast-growing area that it can be very…

Digital Libraries · Computer Science 2017-08-03 Bisma S. Khan , Muaz A. Niazi

Automatically extracting key information from scientific documents has the potential to help scientists work more efficiently and accelerate the pace of scientific progress. Prior work has considered extracting document-level entity…

Digital Libraries · Computer Science 2021-06-04 Vijay Viswanathan , Graham Neubig , Pengfei Liu

Citations allow quickly identifying related research. If multiple publications are selected as seeds, specific suggestions for related literature can be made based on the number of incoming and outgoing citation links to this selection.…

Human-Computer Interaction · Computer Science 2024-08-06 Fabian Beck

The rapid growth of publicly available textual resources, such as lexicons and domain-specific corpora, presents challenges in efficiently identifying relevant resources. While repositories are emerging, they often lack advanced search and…

Databases · Computer Science 2025-08-01 Anaïs Ollagnier , Aline Menin

In recent years, citizen science has become a larger and larger part of the scientific community. Its ability to crowd source data and expertise from thousands of citizen scientists makes it invaluable. Despite the field's growing…

Social and Information Networks · Computer Science 2023-10-18 Yu Lu Liu , Thomas Jiralerspong

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…

Information Retrieval · Computer Science 2020-01-17 Tong Zeng , Longfeng Wu , Sarah Bratt , Daniel E. Acuna

Previous work for text summarization in scientific domain mainly focused on the content of the input document, but seldom considering its citation network. However, scientific papers are full of uncommon domain-specific terms, making it…

Computation and Language · Computer Science 2021-04-08 Chenxin An , Ming Zhong , Yiran Chen , Danqing Wang , Xipeng Qiu , Xuanjing Huang