Vineeta Chand

405 total citations
10 papers, 197 citations indexed

About

Vineeta Chand is a scholar working on Linguistics and Language, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Vineeta Chand has authored 10 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Linguistics and Language, 2 papers in Cognitive Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Vineeta Chand's work include Linguistic Variation and Morphology (4 papers), Multilingual Education and Policy (3 papers) and Language and cultural evolution (2 papers). Vineeta Chand is often cited by papers focused on Linguistic Variation and Morphology (4 papers), Multilingual Education and Policy (3 papers) and Language and cultural evolution (2 papers). Vineeta Chand collaborates with scholars based in United States, United Kingdom and India. Vineeta Chand's co-authors include Cemil Orhan Orgun, Kathleen Baynes, Neha Sinha, Sarah Tomaszewski Farias, Bruce Reed, Christa Simon, Danielle Harvey, Sarah Farias, Dan Mungas and Shantanu Sur and has published in prestigious journals such as The Journals of Gerontology Series B, Physica A Statistical Mechanics and its Applications and Language in Society.

In The Last Decade

Vineeta Chand

10 papers receiving 175 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vineeta Chand United States	8	61	57	44	37	35	10	197
Knut Hofland Norway	6	38 0.6×	135 2.4×	88 2.0×	63 1.7×	47 1.3×	12	296
Jan Vanhove Switzerland	8	44 0.7×	32 0.6×	54 1.2×	69 1.9×	30 0.9×	21	198
Elisabeth Stark Switzerland	8	58 1.0×	58 1.0×	111 2.5×	10 0.3×	22 0.6×	46	203
Elma Kerz Germany	10	11 0.2×	134 2.4×	55 1.3×	27 0.7×	33 0.9×	34	239
Friederike Kern Germany	8	25 0.4×	35 0.6×	71 1.6×	12 0.3×	39 1.1×	29	148
Reza Norouzian United States	8	15 0.2×	61 1.1×	112 2.5×	21 0.6×	25 0.7×	13	271
Rachel Morton United Kingdom	6	95 1.6×	124 2.2×	72 1.6×	53 1.4×	196 5.6×	7	287
Savithry Namboodiripad United States	7	56 0.9×	27 0.5×	75 1.7×	20 0.5×	48 1.4×	12	156
Olga Soler Vilageliú Spain	8	33 0.5×	29 0.5×	56 1.3×	99 2.7×	106 3.0×	30	310
Ngee Thai Yap Malaysia	8	31 0.5×	31 0.5×	70 1.6×	33 0.9×	51 1.5×	53	207

Countries citing papers authored by Vineeta Chand

Since Specialization

Citations

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

Fields of papers citing papers by Vineeta Chand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vineeta Chand

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

All Works

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10 of 10 papers shown

1.

Chand, Vineeta, et al.. (2022). Radiation Induced Liver Injury: Collateral Damage Radiologically Simulating Interval Metastasis in Carcinoma Esophagus; a Diagnostic Dilemma Resolved Through Liver Biopsy. International Journal of Surgical Pathology. 30(8). 945–949. 2 indexed citations

2.

Chand, Vineeta, et al.. (2017). Indian English Evolution and Focusing Visible Through Power Laws. Languages. 2(4). 26–26. 4 indexed citations

3.

Chand, Vineeta, et al.. (2016). What is India speaking? Exploring the “Hinglish” invasion. Physica A Statistical Mechanics and its Applications. 449. 375–389. 36 indexed citations

4.

Chand, Vineeta, et al.. (2012). A Rubric for Extracting Idea Density from Oral Language Samples. Current Protocols in Neuroscience. 58(1). Unit10.5–Unit10.5. 18 indexed citations

5.

Farias, Sarah, Vineeta Chand, Kathleen Baynes, et al.. (2012). Idea Density Measured in Late Life Predicts Subsequent Cognitive Trajectories: Implications for the Measurement of Cognitive Reserve. The Journals of Gerontology Series B. 67(6). 677–686. 33 indexed citations

6.

Chand, Vineeta. (2011). Elite positionings towards Hindi: Language policies, political stances and language competence in India¹. Journal of Sociolinguistics. 15(1). 6–35. 18 indexed citations

7.

Chand, Vineeta. (2010). Postvocalic (r) in urban Indian English. English World-Wide A Journal of Varieties of English. 31(1). 1–39. 15 indexed citations

8.

Chand, Vineeta. (2009). [v]at is going on? Local and global ideologies about Indian English. Language in Society. 38(4). 393–419. 32 indexed citations

9.

Chand, Vineeta & Cemil Orhan Orgun. (2006). Exploiting Linguistic Features in Lexical Steganography: Design and Proof-of-Concept Implementation. 1. 126b–126b. 21 indexed citations

10.

Chand, Vineeta. (2004). WCCFL 23 : proceedings of the 23rd West Coast Conference on Formal Linguistics. 18 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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