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The effects of the challenges in the transliteration of Persian names into English on the recall of retrieved results in the web of science

Author

Listed:
  • Mahsa Kaveh

    (Shiraz University)

  • Mahdieh Mirzabeigi

    (Shiraz University)

  • Hajar Sotudeh

    (Shiraz University)

  • Amirsaeid Moloodi

    (Shiraz University)

Abstract

The objective of this study was to examine the effects of the challenges in the transliteration of Persian names into English on the recall of retrieved results in the Web of Science. The statistical population of this study included the names of all Iranian researchers in the Web of Science database who had published an English article in the period 2010–2017. The initial number of these names was 3,110,873. After refining the data, the number of names was reduced to 11,242, of which 3959 were unique names with different spellings. Bibexcel and Excel were used to analyze the data. The challenges identified were divided into four groups: “consonants”, “vowels”, “omitted or repeated letters”, and “pronunciation”. The effect of each of the above-mentioned challenges on the recall of retrieved results was examined, and the spelling form that had the highest retrieval percentage and frequency among the examples retrieved for each challenge was determined. The results showed that the non-uniform transliteration of Persian names into English and different name spellings resulted in a decrease in recall.

Suggested Citation

  • Mahsa Kaveh & Mahdieh Mirzabeigi & Hajar Sotudeh & Amirsaeid Moloodi, 2022. "The effects of the challenges in the transliteration of Persian names into English on the recall of retrieved results in the web of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 1099-1128, February.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:2:d:10.1007_s11192-021-04234-0
    DOI: 10.1007/s11192-021-04234-0
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    References listed on IDEAS

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