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Journal of Informetrics
IF
3.88
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971
Papers 1016
1 page of 102 pages (1,016 results)
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#1Yuhao Zhou (University of Fribourg)
#2Ruijie Wang (University of Fribourg)
Last. Yi-Cheng Zhang (University of Fribourg)H-Index: 45
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Abstract Evaluating scholars’ achievements is an important problem in the science of science with applications in the evaluation of grant proposals and promotion applications. Since the number of scholars and the number of scholarly outputs grow exponentially with time, well-designed ranking metrics that have the potential to assist in these tasks are of prime importance. To rank scholars, it is important to put their achievements in perspective by comparing them with the achievements of other s...
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#1Xuanmin Ruan (NU: Nanjing University)H-Index: 1
#2Yuanyang Zhu (NU: Nanjing University)H-Index: 1
Last. Ying Cheng (NU: Nanjing University)H-Index: 1
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Abstract Predicting the citation counts of academic papers is of considerable significance to scientific evaluation. This study used a four-layer Back Propagation (BP) neural network model to predict the five-year citations of 49,834 papers in the library, information and documentation field indexed by the CSSCI database and published from 2000 to 2013. We extracted six paper features, two journal features, nine author features, eight reference features, and five early citation features to make ...
1 CitationsSource
Abstract Network science has been extensively explored in solving various bibliometrics tasks such as Co-authorship prediction, Author classification, Author clustering, Author ranking, Paper ranking, etc. While majority of the past studies exploit homogeneous bibliographic network (consists of singular type of nodes and edges), in recent past there is a surge in using heterogeneous bibliographic entities and their inter-dependencies using heterogeneous information networks (HIN). Unlike homogen...
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Abstract Research and development activities are regarded as one of the most influencing factors of the future of a country. Large investments in research can yield a tremendous outcome in terms of a country’s overall wealth and strength. However, public financial resources of countries are often limited which calls for a wise and targeted investment. Scientific publications are considered as one of the main outputs of research investment. Although the general trend of scientific publications is...
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#1Fang Zhang (Jiangsu University)
#2Shengli Wu (Jiangsu University)
Abstract Performance evaluation and prediction of academic achievements is an essential task for scientists, research organizations, research funding bodies, and government agencies alike. Recently, heterogeneous networks have been used to evaluate or predict performance of multi-entities including papers, researchers, and venues with some success. However, only a minimum of effort has been made to predict the future influence of papers, researchers and venues. In this paper, we propose a new fr...
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#1Jianhua Hou (SYSU: Sun Yat-sen University)
#2Xiucai Yang (DUT: Dalian University of Technology)H-Index: 1
Abstract The sleeping beauties in science signify a unique knowledge diffusion trajectory created by citation after the publication of scientific literature. However, in social media, scientific knowledge creates a new diffusion trajectory through social media metrics such as View, Save, Discussed, and Recommendations. This study aims to define social media–based sleeping beauties S-SB in science by using social media metrics which we termed as citation-based Sleeping Beauties in science, C-SB. ...
1 CitationsSource
#1Dinesh Pradhan (NIT DGP: National Institute of Technology, Durgapur)H-Index: 2
#2Joyita Chakraborty (NIT DGP: National Institute of Technology, Durgapur)H-Index: 1
Last. Subrata Nandi (NIT DGP: National Institute of Technology, Durgapur)H-Index: 8
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Abstract Reviewer Assignment Problem (RAP) is a crucial problem for the conference due to time constraints and inadequate availability of expert reviewers. A fair evaluation of paper is key to an author's success, paper quality, conference reputation, and productive usage of funds. Recent studies reflect on the issue of reviewer bias in bids favoring authors belonging to the top institution and higher authority. Existing Conference Management Systems (CMS) are solely dependent upon self-declared...
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#1Jian Du (PKU: Peking University)H-Index: 1
#1Jian Du (PKU: Peking University)H-Index: 1
Last. Xiaoli Tang (Academy of Medical Sciences, United Kingdom)
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Abstract In this study, we investigate the extent to which patent citations to papers can serve as early signs for predicting delayed recognized knowledge in science using a comparative study with a control group, i.e., instant recognition papers. We identify the two opposite groups of papers by the Bcp measure, a parameter-free index for identifying papers which were recognized with delay. We provide a macro (Science/Nature papers dataset) and micro (a case chosen from the dataset) evidence on ...
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#1Mirka Saarela (University of Jyväskylä)H-Index: 5
#2Tommi Kärkkäinen (University of Jyväskylä)H-Index: 17
Abstract The publication indicator of the Finnish research funding system is based on a manual ranking of scholarly publication channels. These ranks, which represent the evaluated quality of the channels, are continuously kept up to date and thoroughly reevaluated every four years by groups of nominated scholars belonging to different disciplinary panels. This expert-based decision-making process is informed by available citation-based metrics and other relevant metadata characterizing the publ...
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#1Haiyun Xu (CAS: Chinese Academy of Sciences)
#1Haiyun Xu (CAS: Chinese Academy of Sciences)H-Index: 2
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Abstract In the modern world, science and technology jointly determine the evolutionary path of scientific innovation, with an increasingly close relationship between them. Therefore, it is important to study the identification method of the innovation path, based on the linkage of topics in science and technology. This study focuses on connected topics utilizing bibliometric analysis, thereby exploring the identification method for innovation paths based on the linkage of scientific and technol...
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Data mining
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