Swathi Kiran

7.3k total citations
221 papers, 4.9k citations indexed

About

Swathi Kiran is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Rehabilitation. According to data from OpenAlex, Swathi Kiran has authored 221 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Cognitive Neuroscience, 87 papers in Developmental and Educational Psychology and 45 papers in Rehabilitation. Recurrent topics in Swathi Kiran's work include Neurobiology of Language and Bilingualism (177 papers), Reading and Literacy Development (63 papers) and Stroke Rehabilitation and Recovery (45 papers). Swathi Kiran is often cited by papers focused on Neurobiology of Language and Bilingualism (177 papers), Reading and Literacy Development (63 papers) and Stroke Rehabilitation and Recovery (45 papers). Swathi Kiran collaborates with scholars based in United States, Spain and India. Swathi Kiran's co-authors include Cynthia K. Thompson, Lisa A. Edmonds, Erin L. Meier, Chaleece Sandberg, Charles R. Larson, Jeffrey P. Johnson, Theresa A. Burnett, Timothy C. Hain, Rajani Sebastian and Stephen E. Nadeau and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Stroke.

In The Last Decade

Swathi Kiran

209 papers receiving 4.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Swathi Kiran United States 38 4.1k 1.9k 891 540 533 221 4.9k
Elizabeth Rochon Canada 35 2.4k 0.6× 1.1k 0.6× 546 0.6× 916 1.7× 291 0.5× 113 3.5k
Pélagie M. Beeson United States 34 2.8k 0.7× 1.6k 0.9× 357 0.4× 441 0.8× 262 0.5× 84 3.3k
Jenny Crinion United Kingdom 38 4.5k 1.1× 1.6k 0.8× 438 0.5× 507 0.9× 622 1.2× 76 5.3k
Cynthia K. Thompson United States 59 8.5k 2.1× 5.1k 2.7× 670 0.8× 1.3k 2.4× 896 1.7× 246 9.8k
David Howard United Kingdom 48 6.1k 1.5× 4.0k 2.1× 292 0.3× 526 1.0× 1.3k 2.4× 161 7.2k
Lyndsey Nickels Australia 34 3.8k 0.9× 3.1k 1.6× 355 0.4× 487 0.9× 576 1.1× 217 4.7k
Nadine Martin United States 35 4.2k 1.0× 3.0k 1.6× 277 0.3× 373 0.7× 723 1.4× 125 4.5k
Anastasia M. Raymer United States 29 2.3k 0.6× 950 0.5× 638 0.7× 408 0.8× 225 0.4× 88 2.8k
Jean‐Marie Annoni Switzerland 34 2.4k 0.6× 739 0.4× 419 0.5× 591 1.1× 512 1.0× 168 4.3k
Myrna F. Schwartz United States 52 8.8k 2.2× 5.2k 2.8× 543 0.6× 1.1k 2.1× 1.6k 2.9× 126 10.3k

Countries citing papers authored by Swathi Kiran

Since Specialization
Citations

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

Fields of papers citing papers by Swathi Kiran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swathi Kiran

This figure shows the co-authorship network connecting the top 25 collaborators of Swathi Kiran. A scholar is included among the top collaborators of Swathi Kiran 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 Swathi Kiran. Swathi Kiran 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
1.
Peñaloza, Claudia, et al.. (2025). The evolution of word retrieval errors during semantic feature-based therapy in bilingual aphasia. Bilingualism Language and Cognition. 1–18. 1 indexed citations
2.
Peñaloza, Claudia, et al.. (2025). Measurement of cross-language and cross-domain generalization following semantic feature-based anomia treatment in bilingual aphasia. Neuropsychological Rehabilitation. 36(3). 544–570. 1 indexed citations
3.
Kiran, Swathi, et al.. (2025). Navigating the Complexity of Bilingual Aphasia: Current Insights and Future Directions. Brain Sciences. 15(9). 989–989.
4.
Carvalho, Nicole, et al.. (2025). Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severity. Cortex. 188. 25–41. 1 indexed citations
5.
Peñaloza, Claudia, et al.. (2025). Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence. Stroke. 56(2). 494–504. 4 indexed citations
7.
Calabria, Marco, Federico Gallo, & Swathi Kiran. (2024). Introduction: Clinical aspects of bilingualism research in adults. Bilingualism Language and Cognition. 27(2). 215–216. 1 indexed citations
8.
Kiran, Swathi, et al.. (2024). An Introduction to Machine Learning for Speech-Language Pathologists: Concepts, Terminology, and Emerging Applications. Perspectives of the ASHA Special Interest Groups. 10(2). 432–450. 5 indexed citations
10.
Beach, Sara D., et al.. (2024). Pars Opercularis Underlies Efferent Predictions and Successful Auditory Feedback Processing in Speech: Evidence From Left-Hemisphere Stroke. SHILAP Revista de lepidopterología. 5(2). 454–483. 1 indexed citations
11.
Kiran, Swathi, et al.. (2023). Association Between Social Determinants of Health and Communication Difficulties in Poststroke U.S. Hispanic and Non-Hispanic White Populations. American Journal of Speech-Language Pathology. 33(1). 248–261.
12.
Peñaloza, Claudia, et al.. (2023). The cognate facilitation effect on lexical access in bilingual aphasia: Evidence from the Boston Naming Test. Bilingualism Language and Cognition. 26(5). 1009–1025. 7 indexed citations
13.
Barbieri, Elena, Cynthia K. Thompson, James Higgins, et al.. (2022). Treatment-induced neural reorganization in aphasia is language-domain specific: Evidence from a large-scale fMRI study. Cortex. 159. 75–100. 5 indexed citations
14.
Kiran, Swathi, et al.. (2021). Supportive Communication for Individuals with Aphasia. Archives of Physical Medicine and Rehabilitation. 102(7). 1437–1439. 2 indexed citations
15.
Higgins, James, Elena Barbieri, Xue Wang, et al.. (2020). Reliability of BOLD signals in chronic stroke‐induced aphasia. European Journal of Neuroscience. 52(8). 3963–3978. 3 indexed citations
16.
17.
Meier, Erin L., Jeffrey P. Johnson, Yue Pan, & Swathi Kiran. (2019). The utility of lesion classification in predicting language and treatment outcomes in chronic stroke-induced aphasia. Brain Imaging and Behavior. 13(6). 1510–1525. 36 indexed citations
18.
Meier, Erin L., Jeffrey P. Johnson, & Swathi Kiran. (2018). Left frontotemporal effective connectivity during semantic feature judgments in patients with chronic aphasia and age-matched healthy controls. Cortex. 108. 173–192. 22 indexed citations
19.
Kiran, Swathi, et al.. (2008). Effect of Model-Based Treatment on Oral Reading Abilities in Severe Alexia: A Case Study. 16(1). 43. 6 indexed citations
20.
Kiran, Swathi. (2007). Recovery from Brain Damage: The Role of Exemplar Typicality within Categories. eScholarship (California Digital Library). 29(29). 1 indexed citations

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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