Maya Khemlani David

59 papers and 390 indexed citations i.

About

Maya Khemlani David is a scholar working on Linguistics and Language, Sociology and Political Science and Language and Linguistics. According to data from OpenAlex, Maya Khemlani David has authored 59 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Linguistics and Language, 19 papers in Sociology and Political Science and 18 papers in Language and Linguistics. Recurrent topics in Maya Khemlani David’s work include Multilingual Education and Policy (29 papers), Second Language Learning and Teaching (12 papers) and Linguistic Variation and Morphology (10 papers). Maya Khemlani David is often cited by papers focused on Multilingual Education and Policy (29 papers), Second Language Learning and Teaching (12 papers) and Linguistic Variation and Morphology (10 papers). Maya Khemlani David collaborates with scholars based in Malaysia, Pakistan and Kazakhstan. Maya Khemlani David's co-authors include Syed Abdul Manan, Francisco Perlas Dumanig, Muhammad Amin, Aly Anwar Amer, Gul Muhammad Baloch, Ain Nadzimah Abdullah, Ruanni Tupas, Rani Rubdy, Hasan Abbasi and Prasenjit Duara and has published in prestigious journals such as Reading Research Quarterly, Journal of Services Marketing and Language Teaching.

In The Last Decade

Co-authorship network of co-authors of Maya Khemlani David i

Fields of papers citing papers by Maya Khemlani David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Khemlani David. 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 Maya Khemlani David. The network helps show where Maya Khemlani David may publish in the future.

Countries citing papers authored by Maya Khemlani David

Since Specialization
Citations

This map shows the geographic impact of Maya Khemlani David'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 Maya Khemlani David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Khemlani David more than expected).

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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