Uluslararası Dergilerde Yayımlanan Türkiye Adresli Makalelerin Atıf Etkisini Artıran Faktörler

Tonta, Yaşar; Akbulut, Müge

doi:10.24146/tk.933159

Cited by 6 publications

(3 citation statements)

References 44 publications

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“…The results suggest that publishing as a co-author, writing the article summary using more informative words, and conducting studies by different social groups have a positive effect on citation. Tonta and Akbulut (2021) investigated the citation effect of international academic studies from Turkey. Within the scope of the study, 2% of the 226 thousand articles published in the period of 2006-2015 were selected as a sample and analyzes were carried out using the obstacle model.…”

Section: Literature Reviewmentioning

confidence: 99%

Bibliometric Analysis of Academic Studies in the Field of Internal Audit and Determination of Factors Affecting their Citations

GÜNGÖR KARYAĞDI,

ÇAKALI,

BALOĞLU

et al. 2023

GAUN-JSS

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Internal audit activities are vital for the continuity of businesses. This situation is carefully followed by the researchers. Therefore, researchers carry out academic studies on the effectiveness, efficiency, etc. of internal audit. This study is carried out in order to make a bibliometric analysis of academic studies in the field of internal audit and to determine the factors that affect the probability of being cited. In the research, 226 articles published on the Dergipark platform in the period of 2013-2022 are included and the citations to the studies are obtained from Google Scholar. In the evaluation of the data, bibliometric analysis and logistic regression analysis methods are used. As a result of the bibliometric analysis, the most studies are carried out in 2019 with 37 articles. 226 studies published in the 2013-2022 period received 1,350 citations in total. 92% of the studies are published in Turkish and 8% in English. It is determined that studies with 3 authors received more citations. When the citations from the published studies are examined, it is determined that the other category is in the first place in terms of total and international citations, and the full professor category is in the first place in terms of national citations. The keywords of 216 (95.6%) of 226 articles within the scope of our study include the phrase "internal audit". In the logistic regression analysis of the citation probabilities of the articles included in the review, it is found that there is a positive and significant relationship between the age of the article, presence of the phrase "internal audit" among its keywords, at least one of the authors being a full professor, the number of downloads from the Dergipark platform and the probability of being cited. On the other hand, it is determined that the language, type, number of authors, number of pages, number of keywords, inclusion of the phrase "internal audit" in the title of the article, indexing of the journal in which it was published in the TR Dizin and the number of references do not affect the citation potential.

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Section: Literature Reviewmentioning

confidence: 99%

Bibliometric Analysis of Academic Studies in the Field of Internal Audit and Determination of Factors Affecting their Citations

GÜNGÖR KARYAĞDI,

ÇAKALI,

BALOĞLU

et al. 2023

GAUN-JSS

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“…Regarding the research topic, national and international scientific studies were examined. Among the prominent publications in the national literature, a limited number of studies such as Tonta and Akbulut's (2021) Al (2008), "Türkiye's Scientific Publication Policy: A Bibliometric Approach Based on Citation Indexes", and by Mecbure Aslan (2021), A Study on Work-Life Balance: "Bibliometric Analysis of Graduate Theses" were examined.…”

Section: Literature Review Of the Researchmentioning

confidence: 99%

“…Since an official result for the citation averages of the journals in the TR Index and DergiPark platform, which publishes scientific publications in Türkiye with Türkiye extension, has not yet been specified, the data in this field could not be reached. Address", the impact factor averages of scientific journals with Türkiye extension were expressed as 1.6 (Tonta & Akbulut;2021, p.390). It can be predicted that these data are lower in scientific journals published at the national level in Türkiye.…”

Section: The Numbers Of Scientific Journals Publishers and Produced A...mentioning

confidence: 99%

Evaluation of impact factors of articles in scientific open access journals in Türkiye

ALAV

2022

International Journal of Assessment Tools in Education

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In this study, the phonographic view of the acceleration of scientific publishing in Türkiye has been revealed with TÜBİTAK/DergiPark data and the values of the measurements of the impact factors of scientific journals have been sampled with the SOBIAD Index data. SOBIAD Index dataset was used in the study. Using the "full count" research method, the data were analyzed by providing access to the entire mass, which is the research population, based on purpose-oriented descriptive analysis. In the calculation of the impact factors of the articles in the SOBIAD index, multiple parameters such as the total number of citations of the articles in the journal, citation comparison (percentage) and area-weighted citation impact, new metric joint values and the similarity criteria in the content evaluation were determined. In the study, the measurement and evaluation standards of international impact factor measuring institutions (WOS-SSCI, Google Scholar, Eigenfactor Metrix and Elsevier/Scopus Index) were also used. According to the results of the research, while the average value of the impact factors of scientific journals in Türkiye is 0.19, this is seen as 6,19 in WOS-SSCI. With the research, the examination of the impact factors of scientific journals and articles in Türkiye was presented as an original review through the SOBIAD index sample. In order to increase the quality and impact factor of journal/article in academic publishing in Türkiye, qualified growth is required rather than quantitative growth.

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Incremental Refinement of Relevance Rankings: Introducing a New Method Supported with Pennant Retrieval

Akbulut

Tonta

2022

Self Cite

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Purpose: Relevance ranking algorithms rank retrieved documents based on the degrees of topical similarity (relevance) between search queries and documents. This paper aims to introduce a new relevance ranking method combining a probabilistic topic modeling algorithm with the “pennant retrieval” method using citation data. Data and Method: We applied this method to the iSearch corpus consisting of c. 435,000 physics papers. We first ran the topic modeling algorithm on titles and summaries of all papers for 65 search queries and obtained the relevance ranking lists. We then used the pennant retrieval to fuse the citation data with the existing relevance rankings, thereby incrementally refining the results. The outcome produced better relevance rankings with papers covering various aspects of the topic searched as well as the more marginal ones. The Maximal Marginal Relevance (MMR) algorithm was used to evaluate the retrieval performance of the proposed method by finding out its effect on relevance ranking algorithms that we used. Findings: Findings suggest that the terms used in different contexts in the papers might sometimes be overlooked by the topic modeling algorithm. Yet, the fusion of citation data to relevance ranking lists provides additional contextual information, thereby further enriching the results with diverse (interdisciplinary) papers of higher relevance. Moreover, results can easily be re-ranked and personalized. Implications: We argue that once it is tested on dynamic corpora for computational load, robustness, replicability, and scalability, the proposed method can in time be used in both local and international information systems such as TR-Dizin, Web of Science, and Scopus. Originality: The proposed method is, as far as we know, the first one that shows that relevance rankings produced with a topic modeling algorithm can be incrementally refined using pennant retrieval techniques based on citation data.

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Uluslararası Dergilerde Yayımlanan Türkiye Adresli Makalelerin Atıf Etkisini Artıran Faktörler

Cited by 6 publications

References 44 publications

Bibliometric Analysis of Academic Studies in the Field of Internal Audit and Determination of Factors Affecting their Citations

Bibliometric Analysis of Academic Studies in the Field of Internal Audit and Determination of Factors Affecting their Citations

Evaluation of impact factors of articles in scientific open access journals in Türkiye

Incremental Refinement of Relevance Rankings: Introducing a New Method Supported with Pennant Retrieval

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