Yamuna Kachru

2.2k citations
50 papers · 851 indexed · h-index 16
Topics
Multilingual Education and Policy (20 papers)Language, Discourse, Communication Strategies (12 papers)Linguistic Variation and Morphology (11 papers)
Partner nations
United StatesHong Kong

In The Last Decade

Yamuna Kachru

48 papers receiving 672 citations

Peers

Yamuna Kachru
Comparison fields: 5 of 53
  • Language and Linguistics 592
  • Linguistics and Language 465
  • Literature and Literary Theory 317
  • Experimental and Cognitive Psychology 103
  • Artificial Intelligence 68
Replace Kimberley Brown with:
Kimberley Brown United States
Angus McIntosh United Kingdom
Richard D. Brecht United States
Michel H. A. Blanc United Kingdom
Susan Fitzmaurice United States
René Appel Netherlands
Susan Meredith Burt United States
Eric Hawkins United Kingdom
Raymond Mougeon Canada
Abdelâli Bentahila Morocco
Yamuna Kachru relative to Kimberley Brown United States Kimberley Brown's profile →
Citations per field
00.5×6.7×
Kimberley Brown · 1×
Citations per year

Countries citing papers authored by Yamuna Kachru

Since Specialization
Citations

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

Fields of papers citing papers by Yamuna Kachru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yamuna Kachru. 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 Yamuna Kachru. The network helps show where Yamuna Kachru may publish in the future.

Co-authorship network of co-authors of Yamuna Kachru

This figure shows the co-authorship network connecting the top 25 collaborators of Yamuna Kachru. A scholar is included among the top collaborators of Yamuna Kachru 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 Yamuna Kachru. Yamuna Kachru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 34
3 135
4 10
5 47
6 105
7 24
8
Culture and speech acts: Evidence from Indian and Singaporean English
15
9 27
10 11
11 1
12 8
13 21
14
Relational grammar : a colloquium
1
15 9
16
Aspects of Hindi grammar
25
17 5
18 2
19 8
20
An introduction to Hindi syntax
22

About Yamuna Kachru

Yamuna Kachru is a scholar working on Linguistics and Language, Language and Linguistics and Literature and Literary Theory, having authored 50 papers that have together received 851 indexed citations. Recurring topics across this work include Multilingual Education and Policy (20 papers), Language, Discourse, Communication Strategies (12 papers) and Linguistic Variation and Morphology (11 papers). The work is most often cited by research in Linguistics and Language (465 citations), Language and Linguistics (592 citations) and Literature and Literary Theory (317 citations). Yamuna Kachru has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Larry E. Smith, Cecil L. Nelson, Tej K. Bhatia, Braj Β. Kachru, Jamie Shinhee Lee, Kamal K. Sridhar, Bent Preisler, Florian Coulmas, Peter Trudgill and Sharon Millar. Their work appears in journals such as Language, TESOL Quarterly and Journal of Pragmatics.

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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