Chinar Dara

565 total citations
9 papers, 362 citations indexed

About

Chinar Dara is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Chinar Dara has authored 9 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Experimental and Cognitive Psychology and 2 papers in Artificial Intelligence. Recurrent topics in Chinar Dara's work include Neurobiology of Language and Bilingualism (4 papers), Emotion and Mood Recognition (3 papers) and Multisensory perception and integration (3 papers). Chinar Dara is often cited by papers focused on Neurobiology of Language and Bilingualism (4 papers), Emotion and Mood Recognition (3 papers) and Multisensory perception and integration (3 papers). Chinar Dara collaborates with scholars based in Canada, United States and Germany. Chinar Dara's co-authors include Marc D. Pell, Silke Paulmann, Sonja A. Kotz, Laura Monetta, Argye E. Hillis, Jee Bang, Rebecca F. Gottesman, Lindsey Kirsch‐Darrow, Anna V. Agranovich and Elliott D. Ross and has published in prestigious journals such as Stroke, Brain Research and The Journal of the Acoustical Society of America.

In The Last Decade

Chinar Dara

8 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chinar Dara Canada	4	212	190	83	43	40	9	362
Caroline A. Niziolek United States	10	526 2.5×	270 1.4×	95 1.1×	15 0.3×	88 2.2×	31	658
Tomasina M. Oh United Kingdom	9	244 1.2×	90 0.5×	26 0.3×	10 0.2×	77 1.9×	16	414
Benjamin Parrell United States	13	287 1.4×	336 1.8×	70 0.8×	10 0.2×	103 2.6×	47	563
Christopher M. Grindrod United States	9	264 1.2×	94 0.5×	56 0.7×	31 0.7×	121 3.0×	12	334
David del Río Spain	12	365 1.7×	160 0.8×	58 0.7×	7 0.2×	73 1.8×	35	480
P. Marcie France	12	326 1.5×	68 0.4×	28 0.3×	33 0.8×	93 2.3×	26	447
Akira Toyomura Japan	11	335 1.6×	241 1.3×	91 1.1×	7 0.2×	88 2.2×	29	463
J Greene United Kingdom	2	339 1.6×	111 0.6×	67 0.8×	17 0.4×	130 3.3×	3	398
Ingrid Aichert Germany	11	330 1.6×	167 0.9×	46 0.6×	11 0.3×	243 6.1×	21	390

Countries citing papers authored by Chinar Dara

Since Specialization

Citations

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

Fields of papers citing papers by Chinar Dara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chinar Dara

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

All Works

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9 of 9 papers shown

Dara, Chinar, Jee Bang, Rebecca F. Gottesman, & Argye E. Hillis. (2014). Right hemisphere dysfunction is better predicted by emotional prosody impairments as compared to neglect.. PubMed. 2(1). 1037–1037. 24 indexed citations

Dara, Chinar, Yessenia Gomez, Cameron Davis, Melissa Newhart, & Argye E. Hillis. (2013). Abstract WP449: Right Hemisphere Dysfunction is more Accurately Detected by Prosody Impairment than by Hemispatial Neglect. Stroke. 44(suppl_1). 1 indexed citations

Dara, Chinar, Lindsey Kirsch‐Darrow, Anna V. Agranovich, et al.. (2012). Impaired emotion processing from vocal and facial cues in frontotemporal dementia compared to right hemisphere stroke. Neurocase. 19(6). 521–529. 28 indexed citations

Pell, Marc D., et al.. (2009). Factors in the recognition of vocally expressed emotions: A comparison of four languages. Journal of Phonetics. 37(4). 417–435. 193 indexed citations

Dara, Chinar & Marc D. Pell. (2008). Effects of acoustic cue manipulations on emotional prosody recognition.. The Journal of the Acoustical Society of America. 124(4_Supplement). 2497–2497. 2 indexed citations

Pell, Marc D., et al.. (2008). Similarities in the acoustic expression of emotions in English, German, Hindi, and Arabic.. The Journal of the Acoustical Society of America. 124(4_Supplement). 2496–2496. 1 indexed citations

Dara, Chinar, Laura Monetta, & Marc D. Pell. (2007). Vocal emotion processing in Parkinson's disease: Reduced sensitivity to negative emotions. Brain Research. 1188. 100–111. 111 indexed citations

Dara, Chinar & Marc D. Pell. (2006). The interaction of linguistic and affective prosody in a tone language. The Journal of the Acoustical Society of America. 119(5_Supplement). 3303–3304. 1 indexed citations

Dara, Chinar & Marc D. Pell. (2006). Effects of right-hemisphere damage on explicit and implicit processing of emotional prosody. Brain and Language. 99(1-2). 51–52. 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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