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The Journal of the American Society for Information Science and Technology (JASIST) has been playing a vital role in the dissemination of scholarly articles in library and information science since 1950. This paper presents the results of a bibliometric study of articles published in the JASIST from 2000 to 2007. It examines the distribution of pap...
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Publications in the Walailak Journal of Science and Technology from 2004 to 2009 are analyzed according to their types, research fields, sources of submission and authorships. The amount of submitted manuscripts is rather constant during this period with a rejection ratio about 0.12. Issued twice a year, one hundred and eighteen published papers ar...
Collaboration practices have been shown to be crucial determinants of scientific careers. We examine the effect of gender on coauthorship-based collaboration in mathematics, a discipline in which women continue to be underrepresented, especially in higher academic positions. We focus on two key aspects of scientific collaboration—the number of diff...
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PyblioNet is a software tool for the creation, visualization and analysis of bibliometric networks. It combines a Python-based data collection tool that accesses the Scopus database with a browser-based visualization and analysis tool. It allows users to create networks of publication data based on joint authorship, citations, co-citations, bibliog...
Purpose
The standard bibliometric indexes (“ m-quotient “ H-,” “ H2-,” “ g-,” “ a-,” “ m-,” and “ r-” index) do not considered the research’ position in the author list of the paper. We proposed a new methodology, System of Authorship Best Assessment (SABA), to characterize the scientific output based on authors’ position.
Material and Methods
Fou...
Citations
... In the last two decades several individual journals in the disciplines of LIS have been the focus of bibliometric studies. Readers can see bibliometric studies related to international individual journals by (Garg et al., 2003) for papers published in the international journal Scientometrics from 1978 to 2001, (Mukherjee et al., 2009) for articles published in the Journal of the American Society for Information Science and Technology (JASIST) from 2000 to 2007 (Garg and Singh 2022) for papers published in the journal Library and Information Science Research (USA) from 1994 to 2020 (Gaviria-Marin et al., 2018) for papers published from 1997 to 2016 in Journal of Knowledge Management (Abdi et al., 2018) for papers published in Information Processing and Management from 1980 to 2015, (Gaur et al., 2023) for papers published from 2007 to 2021 in Journal of Informetrics respectively. Few studies related to Indian LIS journals are by for DESIDOC Journal of Library and Information Technology (DJLIT) from 1992 to 2019, (Garg and Bebi 2021) Journal of Documentation (J. ...
The study aims to present a bibliometric overview of 1,278 papers published in the Journal of Documentation in a period of 24 years from 2000-2023 for chronological distribution of output, variation in impact factor and SCImago ranking of the journal. Using the method of complete count, the study examined the citation impact of the prolific countries, institutions and authors using Citation Per Paper (CPP), i-10 index and Papers not Cited (PnC%). The study also examined the pattern of citation besides identifying the highly cited papers. The results of the study reveal that an average of 53 articles per volumes were published during the study period. The impact factor and SJR of the journal fluctuated during the study period of 2000-2023. The UK contributed the highest number of articles and citation impact was highest for Switzerland. University of Sheffield (UK) topped the list of most prolific institutions with the highest number of papers. The study found the contributions from developing countries and their affiliated institutions to the journal were almost negligible.
... However, only a few studies related to bibliometric studies for two or more journals have been published in the literature. Readers can see bibliometric studies related to individual journals by Dutt, Garg and Bali [3] for papers published in the international journal Scientometrics from 1978 to 2001, Mukherjee [4] for Journal of the American Society for Information Science and Technology (JASIST) from 2000 to 2007, Garg, Lamba and Singh [5] for DESIDOC Journal of Library and Information Technology (DJLIT) from 1992 to 2019, Garg and Singh [6] for the journal Library and Information Science Research from 1994 to 2020, Gaviria-Marin, Merigo, and Popa [7] for papers published from 1997 to 2016 in the Journal of Knowledge Management, Abdi et al. [8] for papers published in Information Processing & Management, Garg, Kumar and Geeta [9] and Velmurugan and Radhakrishnan [10] for Malaysian Journal of Library and Information Science from 2007 to 2018 and 2008-2014 respectively, and Naseer et al. [11] for papers published from 2012 to 2016 in Journal of Informetrics respectively. The two journals under study has also been subjected to bibliometric analysis. ...
... The share of output for the remaining 12 prolific countries to the pattern of output in DJLIT as has been reported by Garg, Lamba and Singh. [4] However, the findings of the present study are different from the bibliometric study of Garg and Bebi [11] for CJSIM for the period 2007-2019, where Belgium and USA were found to be among the most prolific countries with high CPP. ...
The study compared the bibliometric parameters of scholarly communications published in COLLNET Journal of Scientometrics & Information Management (CJSIM) and Journal of Scientometric Research (JSR) from 2012 to 2021. Different bibliometric parameters examined in the study are pattern of output during 2012 to 2021, identification of most prolific countries and their citation impact in terms of Citation Per Paper (CPP), i-10 index and Papers not Cited (PnC). Study also identified prolific institutions and authors and their citation impact besides examining pattern of citation. The study also examined the pattern of domestic and international collaboration. Findings of the study indicate that the pattern of output is inconsistent in both the journals. The output is scattered among 39 countries in CJSIM and 50 countries in JSR. India followed by Iran contributed the highest number of papers in both the journals. Most of the prolific institutions and authors were from India in both the journals. More number of papers remained uncited in CJSIM as compared to JSR. More number of papers were published in domestic collaboration in JSR as compared to CJSIM. However, papers published in international collaboration in both the journals was almost equal. Among all the countries, China published the highest number of papers in international collaboration in CJSIM, but no such trend was observed in JSR.
... However, only a few studies related to bibliometric studies for two or more journals have been published in the literature. Readers can see bibliometric studies related to individual journals by Dutt, Garg and Bali [3] for papers published in the international journal Scientometrics from 1978 to 2001, Mukherjee [4] for Journal of the American Society for Information Science and Technology (JASIST) from 2000 to 2007, Garg, Lamba and Singh [5] for DESIDOC Journal of Library and Information Technology (DJLIT) from 1992 to 2019, Garg and Singh [6] for the journal Library and Information Science Research from 1994 to 2020, Gaviria-Marin, Merigo, and Popa [7] for papers published from 1997 to 2016 in the Journal of Knowledge Management, Abdi et al. [8] for papers published in Information Processing & Management, Garg, Kumar and Geeta [9] and Velmurugan and Radhakrishnan [10] for Malaysian Journal of Library and Information Science from 2007 to 2018 and 2008-2014 respectively, and Naseer et al. [11] for papers published from 2012 to 2016 in Journal of Informetrics respectively. The two journals under study has also been subjected to bibliometric analysis. ...
... The share of output for the remaining 12 prolific countries to the pattern of output in DJLIT as has been reported by Garg, Lamba and Singh. [4] However, the findings of the present study are different from the bibliometric study of Garg and Bebi [11] for CJSIM for the period 2007-2019, where Belgium and USA were found to be among the most prolific countries with high CPP. ...
The study compared the bibliometric parameters of scholarly communications published in COLLNET Journal of Scientometrics & Information Management (CJSIM) and Journal of Scientometric Research (JSR) from 2012 to 2021. Different bibliometric parameters examined in the study are pattern of output during 2012 to 2021, identification of most prolific countries and their citation impact in terms of Citation Per Paper (CPP), i-10 index and Papers not Cited (PnC). Study also identified prolific institutions and authors and their citation impact besides examining pattern of citation. The study also examined the pattern of domestic and international collaboration. Findings of the study indicate that the pattern of output is inconsistent in both the journals. The output is scattered among 39 countries in CJSIM and 50 countries in JSR. India followed by Iran contributed the highest number of papers in both the journals. Most of the prolific institutions and authors were from India in both the journals. More number of papers remained uncited in CJSIM as compared to JSR. More number of papers were published in domestic collaboration in JSR as compared to CJSIM. However, papers published in international collaboration in both the journals was almost equal. Among all the countries, China published the highest number of papers in international collaboration in CJSIM, but no such trend was observed in JSR.
... While bibliometric research is often undertaken at the disciplinary or sub-disciplinary level, studies of discrete academic publications, undertaken due to a journal's prestige or uniqueness (Anyi et al., 2009;Mukherjee, 2009), are not uncommon (Bharvi et al., 2003;Garg, 2003;Jung, 2005;Lei & Liu, 2019b;Swain, 2013;Tiew et al., 2001). Anyi et al.'s (2009) review of bibliometric studies of single journals identified no fewer than 82 articles (encompassing 62 unique titles) published between 1998 and 2008. ...
February 2022 marks the 100th issue of the Teaching English as a Second Language Electronic Journal (TESL-EJ), set up in 1994 as the brainchild of a group of scholars who saw the need for a freely distributed electronic academic journal covering a diverse array of interests within teaching English as a second language long before the term “open access” was coined. The present study constitutes a bibliometric analysis of the first 99 issues of TESL-EJ. Through cross-sectional and historical analysis of a range of key metrics, notably the scale of its output and citations by other authors, frequency of topics explored, most productive and influential author affiliations and countries, and the extent of author collaboration, the study analyzes the growth and development of research activity as reflected in the publication’s output during the period under study. The study found that the nature of the journal’s output has evolved over the years from anecdotal practitioner reviews and thought pieces to rigorous empirical research. As a US-based journal, North American scholarship is well-represented across TESL-EJ’s output, particularly in studies contextualized in tertiary-level settings. There has been a consistent tendency towards non-specialist research topics within teaching English to speakers of other languages (TESOL), notably, EFL, writing, language learning, English teacher, English language learner, reflective of the journal’s large, global readership. The implications for the journal’s stakeholders, the editorial team and scholars considering submission, are discussed.
... Patil (2010) conducted a bibliometric study on Herald of Library Science in the aspects of authorship patterns, degree of collaboration, and geographical distribution of papers and found that most articles were written by single authors and that the degree of collaboration was 0.30. Mukherjee (2009) conducted a similar bibliometric study on the Journal of American Society for Information Science and Technology from 2000 to 2007, examining authorship patterns, nature of collaboration, geographic distribution of articles, nature of cited references, and prolific authors. ...
The study analyzed the research articles published in Chinese Librarianship: an International Electronic Journal (CLIEJ) for a period of 20 years (1997-2016) and discussed on issues such as authorship patterns, reference patterns, geographical distribution, most productive countries, type of institutions, length of articles, and degree of author collaboration. The data were collected from the CLIEJ website and analyzed for interpretation. The findings revealed that collaborative articles were more than single-authored. USA contributed the highest number of publications, followed by Nigeria and India. Academic institutions are the most visible contributors. A total of 2,524 references were retrieved from 143 articles with an average of 17.65 references per article. Researchers cited single-authored references more than collaborative authors.
... Bibliometric analysis has many applications in library and information science in identifying research trends, authorship pattern, preferred sources, core journals etc. According to Huang et al. (2006), bibliometric data has also been used to describe and evaluate countries, universities, research institutes, journals, specific research topics and specific disciplines (Mukherjee, 2009). The present study has been undertaken to know the trend, characteristics and patterns of published articles in the Journal of Indian Library Association (JILA). ...
The Journal of Indian Library Association (JILA) has been recognized as one of the most important Indian
journals in LIS discipline. The present paper reveals the results of a bibliometric study of 115 articles
published in the JILA from 2008 to 2014. The study presents various aspects of the journal, such as
its distribution of articles, authorship patterns, author productivity, most prolific authors, state wise
distribution of Indian authors, length, reference and subject wise distribution of the articles. The trend
of authorship pattern of articles is towards collaboration and only two authors from foreign country
contribute one article during the study period. Maximum authors are from Delhi and highest numbers
of articles (53.04%) have the page length of 4-6 pages. Furthermore, topics like ‘users study’, ‘ICT’
and ‘library automation’ are the preferred subjects for publishing papers in the journal.
... Conditional Random Field [102] Twitter tweet Twitter [13,20,22,25,105] tweet Twitter [83-85, 95, 106] [111] O'Connor tweet [112] Bollen Twitter [113] tweet Twitter [114][115][116][117][118] Text Retrieval Conference-TREC Track [119][120][121][122] RT @username [78] tweet tweet [92] 2. [126] tweet [42,[132][133][134][135][136][137][138][139][140][141][142][143][144][145][146][147][148][149][150] Twitter tweet ...
现在的互联网上社交媒体随处可见,这给信息检索和传播分析工作带来了机 遇与挑战。本文主要围绕在社交媒体中如何找到重要的信息以及信息是如何传播 的展开。我们将 Twitter 作为研究对象,因为它是目前最著名的社交媒体之一,并 且数据是公开的。这样从隐私的角度考虑,获取研究数据变得容易且能很好的为 研究任务(如信息检索)服务。
信息检索的主要任务是在文档集合中,找到与给定话题相关的客观文本或主 观文本。Twitter 是一个丰富的包含各种话题及其评论信息的资源库,本文将探 讨如何在 Twitter 中找到相关的信息。但是 tweet 的短小化和非正式的文本特点, 使得 Twitter 中的检索不同于以往的检索任务(如,网页检索)。本文将通过研究 tweet 文本特点和特有的 Twitter 社交媒体属性帮助 Twitter 检索。另外,Twitter 中 信息的传播是一种普遍现象且与消息的质量相关(帮助 Twitter 中检索高质量的信 息)。因此,我们从 tweet 本身和用户的角度,研究哪些因素影响了 tweet 的转发 和人的转发行为。
我们的工作主要有四个部分:(1)利用结构化信息的 Twitter 检索;(2) Twitter 观点检索;(3)Twitter 中传播观点的发现;(4)Twitter 中信息传播者的发 现。四个工作具体如下:
利用结构化信息的 Twitter 检索: Twitter 检索是在 Twitter 中找到与给定话题 相关的 tweet 的任务。绝大部分的 Twitter 检索系统在构造检索模型时一般都认为 tweet 是一个平面文本,但用户在编辑 tweet 时的一些习惯使得 tweet 文本呈现结 构化的特点。这种结构化是通过一些不同的文本积木块组合而成,积木类型具体 包括平面文本、主题词、链接、提及等。每一种积木都有自己独特的本质,一系 列积木的排序组合又反映了一定的话语转换。以往的研究发现,通过开发文本的 结构信息能够帮助结构化文本的检索(例如,网页检索)。本工作通过积木结构开 发 tweet 的结构化信息,以此帮助 Twitter 检索。我们利用积木及其排列组合开发 了一系列特征,并将其应用到排序学习的框架中。我们发现利用结构化 tweet 的 方法进行检索能够达到目前最好的 Twitter 检索方法效果,将结构化 tweet 的方法 和其他社交媒体特征一起使用能够进一步提高 Twitter 的检索效果。
Twitter 观点检索: 观点检索是在数据中找到对指定话题表达正面或反面观 点的 tweet 的任务。人们几乎在 Twitter 中表达了任何话题的观点,使其成为一个 丰富的观点资源库。但是 Twitter 中也存在大量的垃圾信息和各种不同类型的文本,使得 Twitter 中的观点检索充满挑战。我们提出了如何利用 tweet 的社交媒 体信息和文本结构化信息的方法帮助 Twitter 的观点检索。特别的,基于排序学 习,我们发现 tweet 的用户信息(如用户包含朋友的数目)、tweet 文本本身的结 构信息和观点化程度影响着 tweet 的排序结果。实验结果表明社交媒体信息能够 帮助 Twitter 的观点检索。基于无监督学习评价 tweet 观点化程度,并以此开发 特征形成的检索方法能够到达手工标注 tweet 的有监督方法的检索效果,且这种 方法能够帮助观点检索中话题依赖问题的解决。最后,我们在重新标注的 TREC Tweets2011 数据集上进一步验证了我们 Twitter 观点检索方法的有效性。
Twitter 中传播观点的发现: Twitter 已经变成人们收集观点做出决策的重要 资源,但是数量众多且差异巨大的观点严重影响了人们使用这些资源的效果。本 文我们考虑了如何在 Twitter 中找到传播观点的任务 —tweet 不仅表达了对某些话 题的观点,且这个 tweet 在未来会被转发。利用排序学习模型,我们开发了一系列 特征,具体包括 tweet 的传播度特征、观点化特征和文本质量特征。实验结果证明 了我们开发的特征对于 Twitter 中传播观点的发现是有效的,并且将所有特征整合 的方法在发现效果上能够显著优于 BM25 方法和 Twitter 观点检索方法。最后,我 们发现我们的方法在预测观点传播上可以达到人预测的水平。
Twitter 中信息传播者的发现: Twitter 和其它社交网络中一个重要的交流 机制就是消息传播 —人们分享其他人创建的消息。虽然目前有许多工作研究了 Twitter 中的 tweet 是如何传播的(转发),但是一个未解决的问题是到底谁会转发 给定的 tweet。这里我们考虑了在 Twitter 中给定一条 tweet,发现作者的粉丝中谁 会转发。利用排序学习模型的框架,我们设计了一些特征,包括用户历史的转发 信息,用户自身的社交媒体特征,用户使用 Twitter 的活跃时间,以及用户的个人 兴趣。我们发现经常转发和提及作者的粉丝和与作者有相同兴趣爱好的人最有可 能成为信息传播者。
通过以上四个问题的研究,我们发现 tweet 的文本信息和 Twitter 的社交媒体 特征能够帮助 Twitter 信息检索和传播分析。
... Anwar and Saeed (1999) utilized LISA plus database to study the authorship patterns of Pakistani librarians. Tsay (2008) used LISA database to conduct bibliometric analysis on the journal of the American Society for Information Science and Technology (JASIST). Also Pulgarín-Guerrero and Gil-Leiva ...
This paper discusses the visibility of African scholars in the literature of Bibliometrics, as it appears in the Library and Information Science Abstract (LISA) from 1982-2010. Analysis was conducted on a list of 75 papers generated from the Abstract. The year-wise growth of the literature shows that single authorship dominates the literature, scoring 52% and the average number of publication per year was found to be 2.7. On the productivity of authors, Lotka’s formulation of inverse square law of scientific productivity was applied and found to be in harmony with the literature. Bradford-zipf Law for distribution of papers was also applied and found to be in conformity with the literature of Bibliometrics. Prolific authors were found to be 6 in number and their contributions falls between 3-16 papers within the 28 years period of the study. English language was found to be the dominant language with 91.3% score, and then followed by French with 8.7% score.
... Rather knowledge integration depends on how members know and integrate their individual knowledge, where the outcome "consists of both the shared knowledge of individuals and the combined knowledge that emerges from their interaction" (Okhuysen and Eisenhardt, 2002: 384). In the context of NPD, this outcome is not just about sharing and combining, but also about creation and application in the form of a new product (Huang and Newell, 2003;Nonaka 1994;Nonaka and Takeuchi, 1995;Alawi and Tiwana, 2002). Knowledge creation is the development of new knowledge through the conversation and interaction between tacit and explicit knowledge in an organization (Nonaka, 1994;Nonaka and Takeuchi, 1995). ...
... Knowledge creation is the development of new knowledge through the conversation and interaction between tacit and explicit knowledge in an organization (Nonaka, 1994;Nonaka and Takeuchi, 1995). Knowledge application is the value creating activity when existing knowledge is brought to bear fruit on the problem at hand, i.e., when knowledge is distributed throughout the organization and transferred and applied where it is needed (Alawi and Tiwana, 2002). ...
... In addition the supplier has knowledge in casting design that is combined with the international company´s knowledge in the creation (Nonaka 1994;Nonaka and Takeuchi, 1995) of the new component. Thanks to the collaboration, the applied knowledge (Alawi and Tiwana, 2002;Tiwana and McLean, 2005) forms a lighter component to a lower cost. In this case knowledge integration is an interactive process in all phases of the NPD project (Okhuysen and Eisenhardt, 2002). ...
Trust has been found to be important for integrating suppliersnowledge in new product development (NPD). Different degrees of trust have different consequences for NPD. This paper investigates the effects of trust for capturing supplier knowledge in NPD in different situations. Two different NPD collaborations, identified as polar cases, are studied. The findings indicate differences in knowledge integration practices related to time scope and depth of the collaboration as a consequence of different types of trust. There are two main contributions from these findings. First, different types of trust are emphasized in different types of supplier collaborations. Second, the type of trust is associated with differences in knowledge integration practices expressed in time scope and depth of the collaboration. Relational trust creates conditions for joint knowledge integration in interactive and joint processes, whereas competence-based trust is associated with accessing and capturing knowledge.
