How collaboration type, publication place, funding and author’s role affect citations received by publications from Africa: A bibliometric study of LIS research from 1996 to 2015

Asubiaro, Toluwase Victor

doi:10.1007/s11192-019-03157-1

Cited by 58 publications

(50 citation statements)

References 28 publications

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“…Record of LIS articles of the 54 African countries from 1996 to 2015 was collected from the WoS using the search strategy that was described in Asubiaro (2019). Five of the WoS citation indexes, namely, the Science Citation Index Expanded (SCI-EXPANDED), Social Science Citation Index (SSCI), Arts and Humanities Citation Index (AandHCI), Conference Proceedings Citation Index-Science (CPCI-S), and Conference Proceedings Citation Index-Social Science and Humanities (CPCI-SSH) were searched using this query: AD=(South Africa OR Nigeria OR Ghana OR Kenya OR Botswana OR Tanzania OR Uganda OR Ethiopia OR Senegal OR Zambia OR Benin OR Zimbabwe OR Malawi OR Namibia OR Guinea OR Mauritius OR Mozambique OR Niger OR Sierra Leone OR Mali OR Angola OR Lesotho OR Liberia OR Gambia OR Seychelles OR Algeria OR Burkina Faso OR Burundi OR Cape Verde OR Cameroon OR Cent Afr Republ OR Chad OR Comoros OR DR Congo OR Djibouti OR Cote Ivoire OR Congo OR Egypt OR Equatorial Guinea OR Eritrea OR Gabon OR Guinea-Bissau OR Madagascar OR Morocco OR Congo Republic OR Sao Tome and Principe OR Rwanda OR Somalia OR Swaziland OR Sudan OR Togo OR Tunisia OR Western Sahara) AND PY=(1996-2015) AND SU=(Information Science and Library Science).…”

Section: Methodsmentioning

confidence: 99%

“…Unlike the western world in which researchers and their works easily receive prominence, the majority of African authors and their works languish in the back waters of academic recognition. This assertion and its associated cause and effects have been discussed in several works of both African and non-African authors (Asubiaro, 2019; Confraria and Godinho, 2015; MacGregor, 2008; Nwagwu, 2007; Onyancha, 2009, 2013; Tijssen, 2007).…”

Section: Introductionmentioning

confidence: 94%

“…In a recent analysis, Asubiaro (2019) explained how “collaboration type, (co-)authors’ roles, place of publication and other factors” affect the amount of citations received by African LIS works between 1996 and 2015. A major finding of this study showed that although LIS research accounted for only 0.5% of total research output in the continent, there was significant and consistent increase in output along the years – a similar position to Alemna (2001) – and attributable to the increase in the number of LIS schools in the region (Onyancha, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

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Collaboration clusters, interdisciplinarity, scope and subject classification of library and information science research from Africa: An analysis of Web of Science publications from 1996 to 2015

Asubiaro

Badmus

2020

Journal of Librarianship and Information Science

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This study investigated the trends in the scope and subject classifications of library and information science research from authors that are affiliated with institutions in Africa. Library and information science journal articles and conference proceedings from the 54 African countries that were published between 2006 and 2015 and indexed in the Web of Science were retrieved for the study. After the removal of non-relevant articles and articles that were not available online, the library and information science publications were classified based on subject and scope. Results from the analysis of author keywords, country of affiliation, subject and scope classification were also visualized in network maps and bar charts. Frequency analysis shows that though computer science had the most profound influence on Africa’s library and information science research, its influence came to prominence in 2004. Furthermore, North African countries exhibited features that are different from the rest of Africa; they contributed most on core computer classifications while other African countries focused more on the social science-related aspects of library and information science. Unlike other regions in Africa, the North African countries also formed a dense collaboration cluster with strong interests in subjects that are conceptual and global in scope. The collaboration clustering analysis revealed an influence of some colonial languages of as a basis for forging strong collaboration between African and non-African countries. On the other hand, African countries tend to collaborate more with countries in their regions. Lastly, human computer interaction and library and information science history subject classifications were almost nonexistent. It is recommended that further studies should investigate why certain subject classifications are not well represented.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

Section: Literature Reviewmentioning

confidence: 99%

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Collaboration clusters, interdisciplinarity, scope and subject classification of library and information science research from Africa: An analysis of Web of Science publications from 1996 to 2015

Asubiaro

Badmus

2020

Journal of Librarianship and Information Science

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“…Among the author related characteristics, researchers pointed out that the author's reputation [21], [22], [24], [94]- [96], the number of authors [17], [84], [97]- [99] and the academic ranking of authors [100] have important impacts on the citation behavior of articles. In addition, the author's gender [31] and whether there is international cooperation among authors [6], [17], [84], [88], [96], [98], [101]- [102] have also been widely studied. Among the indexes related to journals, journal impact factor is the most widely used feature for prediction [17], [84], [88].…”

Section: Related Workmentioning

confidence: 99%

Identification High Influential Articles by Considering the Topic Characteristics of Articles

et al. 2020

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The topic of one article reflects its main semantic content, which is also the main guidance for researchers to choose reference literature. In order to explore whether the topic of an article will affect its citation trend in future, this paper establishes a machine learning framework to study the role of topic characteristics in the prediction of future high influential articles. Articles from four different disciplines are collected as experimental samples to verify whether the framework proposed in this paper can be applied to the prediction task in different disciplines. The Latent Dirichlet Allocation (LDA) is used to determine the topic characteristics of sample articles. LDA can map sample articles to current hot topics and generate the mapping probability of sample articles under different hot topics. The maximum mapping probability of the sample article under the hot topics is extracted as the topic feature of the article. Then the feature space for the prediction task is constructed by combining the topic feature and some bibliometrics indices of articles. Three feature selection algorithms, Fisher Score, Relief-F and Spectral Feature Selection (SPEC), are taken to select the important features in the feature space. The prediction performance of these features is finally tested by three classifiers, SVM, KNN and Bagging. The experimental results show that the topic characteristics of article, the early citation characteristics of article, and the reputation of the author are the key factors that determine whether an article can grow into a highly influential one. The important value of topic characteristics in articles' citation activities shows that the content of the article is an important factor in attracting more citations.

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“…Considering challenges such as poor funding, poor access to world class scientific publication databases and low visibility of research (Asubiaro, 2017(Asubiaro, , 2019Kari & Baro, 2016, Bakare, Munir, & Bello-Mojeed, 2014, Pouris & Ho, 2014 (McKiernan, 2017;Pinto, 2019;Raju et al, 2015;Tennant et al, 2019) is another possibility. It is also evident that open scholarship is relevant to alleviating the resource-scarcity in data intensive fields in Africa, such as natural language processing (NLP) of its languages which have little data and software to work with.…”

Section: Introductionmentioning

confidence: 99%

Digital Archiving by Nigerian and Foreign Authors in a Low Resource Context: A Content Analysis of Publications on Natural Language Processing of Nigerian Languages

Asubiaro

2020

CAIS/ACSI

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This study investigated if there is a difference in the number of articles, datasets and computer codes that foreign and Nigerian authors of scientific publications on natural language processing (NLP) of Nigerian languages deposited in digital archives. Relevant articles were systematically retrieved from Google, Web of Science and Scopus. Authorship type and data archiving information was extracted from the full text of the relevant publications. Result shows that papers with foreign authorship (80.4%) published their articles in non-commercial repositories, more than papers with Nigerian authorship (55.3%). Similarly, few papers with foreign authorship deposited research data (19.1%) and computer codes (10.4%), while none of the papers with Nigerian authorship did. It was recommended that librarians in Nigeria should create awareness on the benefits of digital archiving and open science. Cette étude a eximané les différences dans le nombre d'articles, d'ensembles de données et de codes informatiques dans les articles scientifiques sur le traitement du langage naturel que les auteurs nigériens et les auteurs étrangers ont soumis dans les dépôts d'autoarchivage. Les articles pertinents ont été systématiquement extraits de Google, Web of Science et Scopus. Les informations relatives au type d'auteur et à l'archivage des données ont été extraites du texte intégral des publications pertinentes. Les résultats montrent que les articles écrits par des auteurs étrangers ont davantage publié leurs articles dans des dépôts non commerciaux (80,4%) que les auteurs nigériens (55,3%). Peu d'auteurs étrangers ont déposé des données de recherche (19,1%) et des codes informatiques (10,4%) tandis qu'aucun auteur nigérien ne l'a fait. Ces résultats démontrent l'importance de la sensibilisation aux avantages des dépôt d'archivage et de la science ouverte pour les bibliothécaires nigériens.

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How collaboration type, publication place, funding and author’s role affect citations received by publications from Africa: A bibliometric study of LIS research from 1996 to 2015

Cited by 58 publications

References 28 publications

Collaboration clusters, interdisciplinarity, scope and subject classification of library and information science research from Africa: An analysis of Web of Science publications from 1996 to 2015

Collaboration clusters, interdisciplinarity, scope and subject classification of library and information science research from Africa: An analysis of Web of Science publications from 1996 to 2015

Identification High Influential Articles by Considering the Topic Characteristics of Articles

Digital Archiving by Nigerian and Foreign Authors in a Low Resource Context: A Content Analysis of Publications on Natural Language Processing of Nigerian Languages

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