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Evaluating journal impact based on weighted citations

Author

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  • Fuli Zhang

    (Anshan Normal University)

Abstract

Publishing at high-rank journals is a common objective to most researchers, and there’s a crucial need for a journal ranking system with universal recognition. This paper presents a quantitative approach to rank scientific journals. The approach, HR-PageRank, combines weighted PageRank according to author’s H-index, and relevance between citing and cited papers. The output of the proposed approach is compared against journal impact factor, H5-index, PageRank algorithm and China Computer Federation ranking list. The experiments of quantifying scholarly impact objectively are conducted in two real scholarly data sets: (1) Microsoft Academic Graph and (2) Digital Bibliography and Library Project. Our experimental results indicate that HR-PageRank algorithm outperforms the well-known PageRank algorithm in finding the influential journals according to Spearman’s rank correlation coefficient, discounted cumulated gain and the correlation C.

Suggested Citation

  • Fuli Zhang, 2017. "Evaluating journal impact based on weighted citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1155-1169, November.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:2:d:10.1007_s11192-017-2510-z
    DOI: 10.1007/s11192-017-2510-z
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    1. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    2. Su, Cheng & Pan, YunTao & Zhen, YanNing & Ma, Zheng & Yuan, JunPeng & Guo, Hong & Yu, ZhengLu & Ma, CaiFeng & Wu, YiShan, 2011. "PrestigeRank: A new evaluation method for papers and journals," Journal of Informetrics, Elsevier, vol. 5(1), pages 1-13.
    3. Chen, P. & Xie, H. & Maslov, S. & Redner, S., 2007. "Finding scientific gems with Google’s PageRank algorithm," Journal of Informetrics, Elsevier, vol. 1(1), pages 8-15.
    4. Philip Ball, 2006. "Prestige is factored into journal ratings," Nature, Nature, vol. 439(7078), pages 770-770, February.
    5. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    6. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    7. E. Garfield & I. H. Sher, 1963. "New factors in the evaluation of scientific literature through citation indexing," American Documentation, Wiley Blackwell, vol. 14(3), pages 195-201, July.
    8. Michael Schreiber, 2015. "A variant of the h-index to measure recent performance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2373-2380, November.
    9. Anne‐Wil Harzing & Ron van der Wal, 2009. "A Google Scholar h‐index for journals: An alternative metric to measure journal impact in economics and business," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(1), pages 41-46, January.
    10. Erjia Yan & Ying Ding & Cassidy R. Sugimoto, 2011. "P-Rank: An indicator measuring prestige in heterogeneous scholarly networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(3), pages 467-477, March.
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    Cited by:

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    2. Alexander Kuchansky & Andrii Biloshchytskyi & Yurii Andrashko & Svitlana Biloshchytska & Adil Faizullin, 2022. "The Scientific Productivity of Collective Subjects Based on the Time-Weighted PageRank Method with Citation Intensity," Publications, MDPI, vol. 10(4), pages 1-17, October.
    3. Zhang, Baolong & Wang, Hao & Deng, Sanhong & Su, Xinning, 2020. "Measurement and analysis of Chinese journal discriminative capacity," Journal of Informetrics, Elsevier, vol. 14(1).
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    5. Ying Lian & Yueting Zhou & Xueying Lian & Xuefan Dong, 2022. "Cyber violence caused by the disclosure of route information during the COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-18, December.
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    7. Hou, Shengjie & Zhang, Xiang & Yi, Biyi & Tang, Yi, 2022. "Public attitudes on open source communities in China: A text mining analysis," Technology in Society, Elsevier, vol. 71(C).
    8. Yu, Dejian & Sheng, Libo, 2021. "Influence difference main path analysis: Evidence from DNA and blockchain domain citation networks," Journal of Informetrics, Elsevier, vol. 15(4).
    9. Xie, Qing & Zhang, Xinyuan & Song, Min, 2021. "A network embedding-based scholar assessment indicator considering four facets: Research topic, author credit allocation, field-normalized journal impact, and published time," Journal of Informetrics, Elsevier, vol. 15(4).

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