|Country of Publication||Iran|
|Publisher||Allameh Tabataba’i University Press|
|Start Publishing||March 1997|
|Format||Print and Online|
|Language||Persian and English|
|Type of Journal||Academic / Scholarly(A)|
|Type of Article||Scientific Research|
|Type of Arbitration||Closed Judging and at least 2 Judges|
|Number of Volumes||26|
|Number of Issues||98|
|Number of Articles||951|
|Number of Contributors||1,118|
|View Per Article||1799.02|
|PDF Download Per Article||746.53|
|Number of Submissions||2,778|
|Time to Accept (Days)||350|
|Number of Indexing Databases||18|
|Number of Reviewers||311|
Literary Text Research is an open-access, peer-reviewed scholarly journal published by Allameh Tabataba’i University, the leading university in the Humanities and Social Sciences in Iran. Literary Text Research has been established to provide an intellectual forum for researchers and scholars worldwide to share their latest findings on issues related to Persian literary studies. The journal is committed to publishing original research papers of highest quality with an international academic appeal. It aspires to support and expand scholarship in Persian literature and to give researchers an opportunity to enter into an academic dialogue with each other around the world in order to advance knowledge in the field.
Literary Text Research is published in collaboration with the Iranian Society for the Promotion of Persian Language and Literature.
To allow for easy and worldwide access to the most updated research findings, Literary Text Research is set to be an open-access journal. The published articles can be downloaded free of charge. However, the journal charges authors 2,000,000 Iranian Rials (IRR) for article processing and reviewing and 4,000.000 IRR for printing (no charge for authors outside Iran).
The journal is published both in print and online.
This journal follows the guidelines of the Committee on Publication Ethics (COPE).
(Committee on Publication Ethics)
All submissions to LTR are checked for potential plagiarism using iThenticate.