Is’haaq Akbarian

37 total papers · 1.1k total citations
22 papers, 523 citations indexed

About

Is’haaq Akbarian is a scholar working on Developmental and Educational Psychology, Language and Linguistics and Artificial Intelligence. According to data from OpenAlex, Is’haaq Akbarian has authored 22 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Developmental and Educational Psychology, 15 papers in Language and Linguistics and 6 papers in Artificial Intelligence. Recurrent topics in Is’haaq Akbarian's work include Second Language Acquisition and Learning (16 papers), EFL/ESL Teaching and Learning (9 papers) and Lexicography and Language Studies (6 papers). Is’haaq Akbarian is often cited by papers focused on Second Language Acquisition and Learning (16 papers), EFL/ESL Teaching and Learning (9 papers) and Lexicography and Language Studies (6 papers). Is’haaq Akbarian collaborates with scholars based in Iran, Türkiye and Spain. Is’haaq Akbarian's co-authors include Rosa María Jiménez Catálan, Shiva Kaivanpanah and Hamid Salimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, System and Journal of Second Language Writing.

In The Last Decade

Is’haaq Akbarian

17 papers receiving 480 citations

Hit Papers

Second Language Research:... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Is’haaq Akbarian 232 209 167 154 87 22 523
Nina Garrett 307 1.3× 197 0.9× 165 1.0× 179 1.2× 58 0.7× 26 502
Glenn M. Davis 164 0.7× 109 0.5× 111 0.7× 119 0.8× 89 1.0× 18 459
Sima Khezrlou 264 1.1× 250 1.2× 264 1.6× 165 1.1× 39 0.4× 31 553
Joel Bloch 250 1.1× 153 0.7× 174 1.0× 247 1.6× 36 0.4× 15 506
Müge Satar 258 1.1× 123 0.6× 213 1.3× 170 1.1× 42 0.5× 30 509
Nahla Nola Bacha 262 1.1× 192 0.9× 300 1.8× 229 1.5× 36 0.4× 24 619
Marie‐Noëlle Lamy 343 1.5× 191 0.9× 187 1.1× 259 1.7× 36 0.4× 26 592
Wen Qiufang 307 1.3× 167 0.8× 224 1.3× 257 1.7× 44 0.5× 26 545
Robert Pritchard 196 0.8× 318 1.5× 260 1.6× 125 0.8× 46 0.5× 31 590
Béatrice Dupuy 321 1.4× 227 1.1× 89 0.5× 252 1.6× 56 0.6× 18 505

Countries citing papers authored by Is’haaq Akbarian

Since Specialization
Citations

This map shows the geographic impact of Is’haaq Akbarian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Is’haaq Akbarian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Is’haaq Akbarian more than expected).

Fields of papers citing papers by Is’haaq Akbarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Is’haaq Akbarian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Is’haaq Akbarian. The network helps show where Is’haaq Akbarian may publish in the future.

Co-authorship network of co-authors of Is’haaq Akbarian

This figure shows the co-authorship network connecting the top 25 collaborators of Is’haaq Akbarian. A scholar is included among the top collaborators of Is’haaq Akbarian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Is’haaq Akbarian. Is’haaq Akbarian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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