Showing papers in "Journal of Informetrics in 2022"

TL;DR: Wang et al. as discussed by the authors proposed an end-to-end deep learning framework (DeepCCP), consisting of graph structure representation and recurrent neural network modules, which directly uses the citation network formed in the early stage of the paper as the input, and outputs the citation counts of the corresponding paper after a period of time.

TL;DR: In this paper , the authors provide the first computational model reformulating atypicality as the distance across latent knowledge spaces learned by neural networks, which characterizes how yesterday's novelty forms today's scientific conventions, which condition the novelty of tomorrow's breakthroughs.

TL;DR: In this paper , the authors explored the evolution of gender inequalities before and during the COVID-19 pandemic by comparing the differences in the numbers and shares of authorships, leadership in publications, gender composition of collaboration, and scientific impacts.

TL;DR: The authors explored the effect of citation behavior on disciplinary knowledge diffusion and intellectual structure by comparing three types of citation behaviour trends, namely the high citation trend, medium citation trend and low citation trend.

TL;DR: In this article , the authors examined the impact of geographical, socioeconomic, political, cultural, intellectual, and excellence distances on the propensity to engage in international research collaboration at the global level, by scientific domain and over time.

TL;DR: In this article , the authors matched 6,024 preprint-publication pairs across multiple fields and examined changes in their reference lists between the manuscript versions as one aspect of manuscripts' development.

TL;DR: In this paper , the authors examined how the readability of scientific discourses changes over time and to what extent readability can explain scientific impact in terms of citation counts and found that less easily readable texts are more likely to receive at least one citation.

TL;DR: In this article , the authors compared the scientific profiles of 199 countries relative to 254 subject categories, based on the impact of knowledge produced in each category, measured by the bibliometric indicator known as Total Fractional Impact (TFI).

TL;DR: Zhang et al. as mentioned in this paper put forward the concept of Keyword Sleeping Beauties (KSBs) on the basis of the scientific literature phenomenon of sleeping beauties and constructed a parameter-free identification method to distinguish KSBs based on beauty coefficient criteria.

TL;DR: In this article , the authors extracted multiple longest paths from the multidisciplinary academic field's citation network and integrated topic modeling to the extracted paths, where each article is labeled with the topic that is assigned with the highest topical probability for that article.

TL;DR: In this paper , the authors used a bibliometric approach to track the mobility of authors and explore the relationship between mobility and scientific activity and impact, finding that having international co-authors increases the probability of international movement.

TL;DR: In this article , a large set of scholarly articles were examined to see if they exhibit power law behavior, i.e., the number of papers having a certain level of citation x are proportional to x raised to some negative power, which is a characteristic distribution found in both natural as well as in man-made systems.

TL;DR: Zhang et al. as discussed by the authors proposed a semantic main path analysis approach to identify simultaneously multiple developmental trajectories in a target field by leveraging semantic information in two steps of candidate path generation and main path selection.

TL;DR: In this paper , the authors compare a few leading models in terms of their ability to correctly reproduce the values of selected bibliometric indices of individual authors, and indicate which indices can be predicted with high accuracy and which are more difficult to model.

TL;DR: In this paper , the impact of different collaboration modes on the cited frequency of publications was explored by exploring the publications with three computer science subfields from the Web of Science (WoS) database.

TL;DR: In this paper , the authors explored the relationships among gender composition, collaboration continuity, and citation impact using regression analyses and found that female scholars were found to limit continuity for the collaboration pair.

TL;DR: The authors used the fixed-effects negative binomial model and instrumental variable approach to explore the linkage from international student mobility to knowledge production and found that ISM led to the destination countries' scientific research on foreign countries.

TL;DR: In this paper , the authors investigate whether the writing style of grant applications influences the evaluation scores and the decisions by selection panels, and reveal several characteristics of the texts that have a positive effect on the score the grant applications receive, and through that on the probability to be selected for funding.

TL;DR: In this paper , the authors identify three key properties a topic model must exhibit for effective application in the social sciences: statistical robustness, descriptive power across all dimensions and reflection of reality.

TL;DR: In this paper , the authors proposed novel methods to estimate intralayer similarity on a node split network using personalized PageRank (PPR) and neural embedding (EMB) to yield precise similarities between items even if they are distant from each other.

TL;DR: This article found that gender, country-level cultural backgrounds, and country level economic backgrounds were significantly associated with review length, and there are significant associations of disciplines (humanities & social sciences or hard sciences), English proficiency, publications, and verified reviews with review lengths.

TL;DR: In this paper , the authors investigate the role of URLs in patent claims and propose a list of recommendations to cite online resources from USPTO patents using link analysis techniques, which can help inventors to select the most appropriate online resources.

TL;DR: In this article , the authors present a methodological approach to analyse the dynamics of science on lower aggregation levels, i.e., the level of research fields, to uncover very recent trends, and the methods used to study trends are simple to understand for the possible recipients of the results.

TL;DR: In this article, the authors identify the three properties all usable topic models should have: robustness, descriptive power and reflection of reality, and develop a novel method for evaluating the robustness of topic models and suggest a metric to assess and benchmark descriptive power as number of topics scale.

TL;DR: In this article , the authors explore intellectual and social proximity among scholarly journals by using network fusion techniques, where similarity among journals is initially represented by means of a three-layer network based on co-citations, common authors and common editors.

TL;DR: The Journal Citation Indicator (JCI) as discussed by the authors is a new field-normalized metric at journal-level, which is calculated by averaging the Category Normalized Citation Impact (CNCI) of the journal's articles and reviews published in the preceding three-year period.

TL;DR: In this article , the authors proposed WEIG, an aggregated quality measure of scientific papers published with the grant support divided by its budget, which is used to assess project effectiveness, especially for Social Sciences and Humanities.

TL;DR: Zhang et al. as discussed by the authors proposed a science and technology semantic linkage integration model for discovering linked topics in Science and Technology (LTSTs) by fusing the term co-occurrence networks of basic and applied research, which expands the completeness of topic networks by enhancing the semantic characteristics of these networks.

TL;DR: Wang et al. as discussed by the authors applied difference in differences models in conjunction with PSM methods to show the effect of domestic mobility on scientists' research quantity and quality by distinguishing the direction of mobility.