Citation recommendation based on citation tendency

Scientometrics - Due to the development of academic, more and more attentions are paid to citation recommendation. To solve the citation recommendation problem, researchers begin to focus on the...     

A scientific citation recommendation model integrating network and text representations

Scientometrics - The number of scientific papers is increasing in the rapid growth. How to make paper acquisition efficient and provide effective citation recommendation is essential for...     

Navigation-based candidate expansion and pretrained language models for citation recommendation

Scientometrics - Citation recommendation systems for the scientific literature, to help authors find papers that should be cited, have the potential to speed up discoveries and uncover new routes...     

A review of citation recommendation: from textual content to enriched context

Scientometrics - Citation recommendation systems play an important role to alleviate the dilemma that scholar users spend a lot of time and experiences for literature survey. With the burgeoning...     

Models for citation behavior

The number of citations of journal papers is an important measure of the impact of research. Thus, the modeling of citation behavior needs attention. Burrell, Egghe, Rousseau and others pioneered this type of modeling. Several models have been proposed for the citation distribution. In this note, we derive the most comprehensive collection of formulas for the citation distribution, covering some 17 flexible families. The corresponding estimation procedures are also derived by the method of moments. We feel that this work could serve as a useful reference for the modeling of citation behavior.     

Motivations for citation: A comparison of self citation and citation to others

The citation motivations among 51 self citing authors in several natural science disciplines were investigated. Results of a survey on reasons for both self citation and citation to others show that there are very few differences in motivation, and that there are plausible intellectual grounds for those differences which are substantial. Analysis of exposure in text reveals virtually no differences between self citations and citations to others. Analysis of individual disciplines also uncover no substantive differences in either motivation or exposure in text.     

Science citation index and chemistry

Citation data have been collected for a large number of chemists at American universities. The principal objectives are to examine the use of citations as a tool in the study of sociology of chemical research and to determine the feasibility and accurancy of using automatically generated data. Past results in each of these areas, as well as a projection of future uses of citation data, are presented. First, a pilot study is described and some tentative conclusions discussed. The method used minimizes some of the most commonly-expressed criticism of citation data, such as multiple author, self-citations, etc. An effort has been made to establish the accuracy of automatically generated citation data. This project uses as a base for comparison the complete bibliographies of several thousand chemists. Several different citation indices are compared with other indicators commonly employed in discussions of the characteristics of the field of chemistry. The results generally support the idea that citations are meaningful. However, they also reveal some problems which require that great care be exercised in the use of citation data. The use of citation data to observe a chemistry subfield over time also is illustrated.     

Journal citation identity, journal citation image and internationalisation: Methods for journal evaluation

Summary Journal Citation Identity, Journal Citation Image, and Internationalisation are methods for journal evaluation used for an analysis of the Journal of Documentation(JDOC) which is compared to JASIS(T) and the Journal of Information Science(JIS). The set of analyses contributes to portrait a journal and gives a multifaceted picture. For instance, the Journal Citation Image by the New Journal Diffusion Factor tells that JDOC reaches farther out into the scientific community than the JASIS(T) and JIS. Comparing New Journal Diffusion Factor and Journal Impact Factor illustrates how new information has been added by the new indicator. Furthermore, JDOC is characterised by a higher rate of journal diversity in the references and has a lower number of scientific publications. JDOC authors and citers are affiliated Western European institutions at an increasing rate.     

Metatheorizing citation

This paper reviews a variety of perspectives on citation. It argues that citations have multiple articulations in that they inform our understanding of the socio-cultural, cognitive, and textual aspects of scientific communication. Two metatheoretical frameworks are proposed as a means of negotiating the interpretative differences which characterize the various discourse communities concerned with citation theory and practice.     

Article-by-article citation analysis of medical journals

An article by article analysis produced by ISI has been investigated to see whether this form of feedback might be useful to the editors. The data highlight the different roles of two medical journals, which are often regarded as similar. They also allow a parallel examination of the citation pattern of other items besides the standard scientific research articles.     

Certainty equivalent citation: generalized classes of citation indexes

Drawing from the existing literature on risk and inequality measurement, we implement the notion of “certainty equivalent citation” in order (i) to generalize most of the h-type citation indexes (h-, g-, $\tilde{g},$ t-, f-, w-index), and (ii) to highlight the centrality of the decision-maker’s preferences on distributive aspects (concentration aversion) for the ranking of citation profiles. In order to highlight the sensitivity of citation orderings with respect to concentration aversion, an application to both simulated and real citation profiles is presented.     

Indian periodicals in the science citation index

The coverage of Indian S&T periodicals inSCI has been studied covering the period 1975–88. The study shows that coverage is rather poor due to a variety of reasons. Many of the Indian periodicals do not fulfil the criteria for getting covered inSCI. About 500 periodicals have been identified which are covered by at least one major indexing or abstracting service of the world. Total number of such periodicals is likely to be over 600. Slight improvement in the standard of these periodicals is likely to make many of them worthy of coverage bySCI.     

A compendium of issues for citation analysis

This paper examines a number of the criticisms that citation analysis has been subjected to over the years. It is argued that many of these criticisms have been based on only limited examinations of data in particular contexts and it remains unclear how broadly applicable these problems are to research conducted at different levels of analysis, in specific field, and among various national data sets. Relevant evidence is provided from analysis of Australian and international data. Citation analysis is likely to be most reliable when data is aggregated and at the highly-cited end of the distribution. It is possible to make valid inferences about individual cases, although considerable caution should be used. Bibliometric measures should be viewed as a useful supplement to other research evaluation measures rather than as a replacement.     

Mining citation information from CiteSeer data

The CiteSeer digital library is a useful source of bibliographic information. It allows for retrieving citations, co-authorships, addresses, and affiliations of authors and publications. In spite of this, it has been relatively rarely used for automated citation analyses. This article describes our findings after extensively mining from the CiteSeer data. We explored citations between authors and determined rankings of influential scientists using various evaluation methods including citation and in-degree counts, HITS, PageRank, and its variations based on both the citation and collaboration graphs. We compare the resulting rankings with lists of computer science award winners and find out that award recipients are almost always ranked high. We conclude that CiteSeer is a valuable, yet not fully appreciated, repository of citation data and is appropriate for testing novel bibliometric methods.     

Online citation analysis

The paper investigates the online citation analysis possibilities and limitations. The following online processing tools: RANK, MAP, and TARGET, provided by Dialog, are incorporated in order to perform analyses of citations to and from isolated sets of documents as well as to carry out diachrone journal analyses. These, analyses imply further to determine journal impact factors of ISI journals. Measures of the scope of internationalisation of journals are proposed and demonstrated. By the combined application of the RANK and TARGET commands we demonstrate a hitherto overlooked possibility of working with bibliographic coupling online and mapping of scientific fields.     

Improved author profiling through the use of citation classes

The method of Characteristic Scores and Scales (CSS), previously developed for application at the macro- and meso-level, has been applied to individual author statistics. In particular, two datasets have been used. Firstly, authors with Thomson Reuters Researcher-ID, independently of the field where authors are publishing and, secondly, authors who are active in the field of scientometrics, independently whether they are registered authors or not. The objective is to find a parameter-free solution for citation-impact assessment at this level of aggregation that is insensitive to possible outliers. As in the case of any statistics, the only limitation is the lower bound, which has been set to 10 for the present analysis. The results demonstrate the usefulness of the CSS method at this level while also pointing to some remarkable statistical properties.     

The citation impacts and citation environments of Chinese journals in mathematics

Based on the citation data of journals covered by the China Scientific and Technical Papers and Citations Database (CSTPCD), we obtained aggregated journal-journal citation environments by applying routines developed specifically for this purpose. Local citation impact of journals is defined as the share of the total citations in a local citation environment, which is expressed as a ratio and can be visualized by the size of the nodes. The vertical size of the nodes varies proportionally to a journal’s total citation share, while the horizontal size of the nodes is used to provide citation information after correction for the within-journal (self-) citations. In the “citing” environment, the equivalent of the local citation performance can also be considered as a citation activity index. Using the “citing” patterns as variables one is able to map how the relevant journal environments are perceived by the collective of authors of a journal, while the “cited” environment reflects the impact of journals in a local environment. In this study, we analyze citation impacts of three Chinese journals in mathematics and compare local citation impacts with impact factors. Local citation impacts reflect a journal’s status and function better than (global) impact factors. We also found that authors in Chinese journals prefer international instead of domestic ones as sources for their citations.     

Revisiting citation aging: a model for citation distribution and life-cycle prediction

The study of citation distribution provides retrospective and prospective picture of the evolving impact of a corpus of publications on knowledge community. All distribution models agree on the rise of the number of citations in the first years following the publication to reach a peak and then tend to be less cited when time passes. However, questions such as how long it will continue being cited and what is objectively the rate of the decline remain unanswered. Built up of simple polynomial function, the proposed model is proven to be suitable to represent the observed citation distribution over time and to interestingly identify with accuracy when the major loss of citations happens. I calculate from the model the ‘residual citations’ representing the citations kept after a long time period after publication year. I demonstrate that the residual citations may be greater than or equal to zero, meaning that the ‘life-cycle’ of the corpus is infinite, contrary to what some researches termed to be around 21 years. This model fits the observed data from SCI according to R-sq which is greater than 98.9%. Rather, it is very simple and easy to implement and can be used by not highly-skilled scientometric users. Finally, the model serves as a citation predictive tool for a corpus by determining the citations that would obtain at any time of its life-cycle.     

Indices of journal citation relatedness and citation relationships among aquatic biology journals

Simple quantitative indices of pair-wise journal citation relatedness (based on the numbers of references given to and received from a journal title, which are provided by Science Citation Index database) are translated by an automatic clustering procedure into a meaningful map diagram reflecting topical relatedness of journals within a field of science. Such a map for 60 journals in marine and freshwater biology and related sciences published in 1987 reveals a tight cluster of marine biology journals quite distinct from the freshwater biology journal cluster and from the fisheries cluster. The journals within the marine biology cluster and those with strongest pair-wise links with them can be regarded as the core journals in marine biology. Indices of unilateral citation relatedness are used to obtain diagrams, which we term citograms. The citograms visualize patterns of citation relatedness of a journal (its citing and being cited). Journal self-citation can be meaningfully estimated using the bilateral index of relatedness. Self-citation is high in specialized or regional journal titles. It also appears to be quite substantial in journals of broader scope, which possibly reflect authors' subjective preferences.