Pramod K. Sah
- Literature and Literary Theory top 0.5%
- Linguistics and Language top 0.5%
- Language and Linguistics top 1%
- Education top 10%
- Political Science and International Relations top 10%
- Co-authors
- Guofang LiFan FangRyūko KubotaPrem PhyakLawrence Jun ZhangKevin W. H. TaiWing Yee Jenifer HoZhongfeng Tian
- Topics
- Second Language Learning and Teaching (31 papers)Multilingual Education and Policy (28 papers)EFL/ESL Teaching and Learning (22 papers)
- Journals
- TESOL QuarterlyLearning and InstructionInternational Journal of Bilingual Education and Bilingualism
- Partner nations
- CanadaHong KongUnited Kingdom
In The Last Decade
Pramod K. Sah
36 papers receiving 739 citations
Peers
Comparison fields: 5 of 30
- Literature and Literary Theory 637
- Linguistics and Language 494
- Language and Linguistics 443
- Education 122
- Political Science and International Relations 49
Countries citing papers authored by Pramod K. Sah
This map shows the geographic impact of Pramod K. Sah'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 Pramod K. Sah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pramod K. Sah more than expected).
Fields of papers citing papers by Pramod K. Sah
This network shows the impact of papers produced by Pramod K. Sah. 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 Pramod K. Sah. The network helps show where Pramod K. Sah may publish in the future.
Co-authorship network of co-authors of Pramod K. Sah
This figure shows the co-authorship network connecting the top 25 collaborators of Pramod K. Sah. A scholar is included among the top collaborators of Pramod K. Sah 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 Pramod K. Sah. Pramod K. Sah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 34 | |
| 10 | 31 | |
| 11 | 10 | |
| 12 | 20 | |
| 13 | 8 | |
| 14 | 23 | |
| 15 | 33 | |
| 16 | 72 | |
| 17 | 40 | |
| 18 | 79 | |
| 19 | 5 | |
| 20 | AN INVESTIGATION INTO THE RELATIVE EFFECTIVENESS OF DATA-DRIVEN LEARNING (DDL) WITH INTEGRATION INTO PPP AND III | 1 |
About Pramod K. Sah
Pramod K. Sah is a scholar working on Linguistics and Language, Literature and Literary Theory and Language and Linguistics, having authored 39 papers that have together received 771 indexed citations. Recurring topics across this work include Second Language Learning and Teaching (31 papers), Multilingual Education and Policy (28 papers) and EFL/ESL Teaching and Learning (22 papers). The work is most often cited by research in Linguistics and Language (494 citations), Literature and Literary Theory (637 citations) and Language and Linguistics (443 citations). Pramod K. Sah has collaborated with scholars based in Canada, Hong Kong and United Kingdom. Frequent co-authors include Guofang Li, Fan Fang, Ryūko Kubota, Prem Phyak, Lawrence Jun Zhang, Kevin W. H. Tai, Wing Yee Jenifer Ho, Zhongfeng Tian, Laura Hamman‐Ortiz and Shakina Rajendram. Their work appears in journals such as TESOL Quarterly, Learning and Instruction and International Journal of Bilingual Education and Bilingualism.
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.