Pramod K. Sah

69 total papers · 1.4k total citations
39 papers, 753 citations indexed

About

Pramod K. Sah is a scholar working on Literature and Literary Theory, Linguistics and Language and Language and Linguistics. According to data from OpenAlex, Pramod K. Sah has authored 39 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Literature and Literary Theory, 28 papers in Linguistics and Language and 23 papers in Language and Linguistics. Recurrent topics in Pramod K. Sah's work include Second Language Learning and Teaching (31 papers), Multilingual Education and Policy (28 papers) and EFL/ESL Teaching and Learning (22 papers). Pramod K. Sah is often cited by papers focused on Second Language Learning and Teaching (31 papers), Multilingual Education and Policy (28 papers) and EFL/ESL Teaching and Learning (22 papers). Pramod K. Sah collaborates with scholars based in Canada, Hong Kong and United Kingdom. Pramod K. Sah's co-authors include Guofang Li, Fan Fang, Ryūko Kubota, Prem Phyak, Lawrence Jun Zhang, Laura Hamman‐Ortiz, Zhongfeng Tian, Kevin W. H. Tai, Shakina Rajendram and Wing Yee Jenifer Ho and has published in prestigious journals such as TESOL Quarterly, Learning and Instruction and International Journal of Bilingual Education and Bilingualism.

In The Last Decade

Pramod K. Sah

36 papers receiving 725 citations

Author Peers

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

Author						Papers	Cites
Pramod K. Sah	626	486	437	121	48	39	753
Hugo Baetens Beardsmore	293 0.5×	388 0.8×	354 0.8×	72 0.6×	23 0.5×	37	634
Diane Dagenais	489 0.8×	495 1.0×	380 0.9×	178 1.5×	8 0.2×	37	783
Nkonko M. Kamwangamalu	428 0.7×	603 1.2×	471 1.1×	150 1.2×	41 0.9×	52	903
Brigitta Busch	412 0.7×	560 1.2×	471 1.1×	79 0.7×	24 0.5×	28	783
Carolyn McKinney	419 0.7×	406 0.8×	335 0.8×	161 1.3×	60 1.3×	33	659
Felix Banda	327 0.5×	387 0.8×	310 0.7×	75 0.6×	29 0.6×	61	646
Ahmar Mahboob	376 0.6×	328 0.7×	388 0.9×	151 1.2×	19 0.4×	42	657
Peter Sayer	443 0.7×	493 1.0×	357 0.8×	210 1.7×	22 0.5×	33	703
Tarja Nikula	651 1.0×	268 0.6×	522 1.2×	97 0.8×	7 0.1×	36	816
Nicos Sifakis	534 0.9×	426 0.9×	575 1.3×	150 1.2×	18 0.4×	31	727

Countries citing papers authored by Pramod K. Sah

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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