Maya Ravindranath

9 total papers · 465 total citations
6 papers, 223 citations indexed

About

Maya Ravindranath is a scholar working on Linguistics and Language, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Maya Ravindranath has authored 6 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Linguistics and Language, 5 papers in Language and Linguistics and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Maya Ravindranath's work include Linguistic Variation and Morphology (6 papers), Spanish Linguistics and Language Studies (3 papers) and Phonetics and Phonology Research (3 papers). Maya Ravindranath is often cited by papers focused on Linguistic Variation and Morphology (6 papers), Spanish Linguistics and Language Studies (3 papers) and Phonetics and Phonology Research (3 papers). Maya Ravindranath collaborates with scholars based in United States, Canada and United Kingdom. Maya Ravindranath's co-authors include Abigail C. Cohn, Maciej Baranowski, Sharon Ash, Naomi Nagy, Tracey L. Weldon and William Labov and has published in prestigious journals such as Journal of Sociolinguistics, Language and Linguistics Compass and Research Explorer (The University of Manchester).

In The Last Decade

Maya Ravindranath

6 papers receiving 205 citations

Author Peers

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

Author Last Decade Papers Cites
Maya Ravindranath 174 149 67 33 19 6 223
Becky Childs 164 0.9× 89 0.6× 75 1.1× 46 1.4× 5 0.3× 15 221
K Alexander Adelaar 94 0.5× 103 0.7× 51 0.8× 15 0.5× 4 0.2× 2 159
Alan Hudson 155 0.9× 173 1.2× 15 0.2× 80 2.4× 6 0.3× 7 258
Patricia C. Nichols 121 0.7× 133 0.9× 21 0.3× 88 2.7× 7 0.4× 8 253
Natalia Lusin 95 0.5× 140 0.9× 19 0.3× 113 3.4× 11 0.6× 7 268
Crawford Feagin 210 1.2× 172 1.2× 100 1.5× 39 1.2× 3 0.2× 10 297
Frederick B. Agard 73 0.4× 153 1.0× 101 1.5× 28 0.8× 11 0.6× 12 303
Harold Orton 239 1.4× 192 1.3× 103 1.5× 11 0.3× 3 0.2× 19 299
Nick Wilson 86 0.5× 145 1.0× 30 0.4× 43 1.3× 42 2.2× 8 258
Leonard Bloomfield 96 0.6× 137 0.9× 73 1.1× 11 0.3× 4 0.2× 13 262

Countries citing papers authored by Maya Ravindranath

Since Specialization
Citations

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

Fields of papers citing papers by Maya Ravindranath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Ravindranath

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Ravindranath. A scholar is included among the top collaborators of Maya Ravindranath 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 Maya Ravindranath. Maya Ravindranath 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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