Vera da Silva Sinha

21 total papers · 448 total citations
4 papers, 137 citations indexed

About

Vera da Silva Sinha is a scholar working on Experimental and Cognitive Psychology, Language and Linguistics and Philosophy. According to data from OpenAlex, Vera da Silva Sinha has authored 4 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Experimental and Cognitive Psychology, 3 papers in Language and Linguistics and 1 paper in Philosophy. Recurrent topics in Vera da Silva Sinha's work include Categorization, perception, and language (4 papers), Syntax, Semantics, Linguistic Variation (3 papers) and Language, Metaphor, and Cognition (3 papers). Vera da Silva Sinha is often cited by papers focused on Categorization, perception, and language (4 papers), Syntax, Semantics, Linguistic Variation (3 papers) and Language, Metaphor, and Cognition (3 papers). Vera da Silva Sinha collaborates with scholars based in United Kingdom and Brazil. Vera da Silva Sinha's co-authors include Wany Bernardete de Araujo Sampaio, Chris Sinha and Jörg Zinken and has published in prestigious journals such as Frontiers in Psychology and Language and Cognition.

In The Last Decade

Vera da Silva Sinha

4 papers receiving 126 citations

Author Peers

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

Author						Papers	Cites
Vera da Silva Sinha	94	37	23	20	16	4	137
Wany Bernardete de Araujo Sampaio	84 0.9×	31 0.8×	19 0.8×	17 0.8×	15 0.9×	5	119
Adrian Pilkington	81 0.9×	47 1.3×	21 0.9×	25 1.3×	24 1.5×	7	150
Charles Ruhl	90 1.0×	112 3.0×	30 1.3×	6 0.3×	21 1.3×	3	155
A Kalokerinos	44 0.5×	63 1.7×	11 0.5×	5 0.3×	33 2.1×	7	120
Verena Haser	119 1.3×	59 1.6×	26 1.1×	25 1.3×	21 1.3×	7	151
Tyko Dirksmeyer	108 1.1×	79 2.1×	17 0.7×	17 0.8×	5 0.3×	4	171
Gina M. Caucci	131 1.4×	56 1.5×	32 1.4×	45 2.3×	28 1.8×	6	237
Jèmeljan Hakemulder	118 1.3×	26 0.7×	16 0.7×	58 2.9×	19 1.2×	6	246
Shoko Hamano	166 1.8×	67 1.8×	32 1.4×	20 1.0×	7 0.4×	7	207
David Tuggy	85 0.9×	93 2.5×	16 0.7×	7 0.3×	19 1.2×	8	159

Countries citing papers authored by Vera da Silva Sinha

Since Specialization

Citations

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

Fields of papers citing papers by Vera da Silva Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vera da Silva Sinha. 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 Vera da Silva Sinha. The network helps show where Vera da Silva Sinha may publish in the future.

Co-authorship network of co-authors of Vera da Silva Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Vera da Silva Sinha. A scholar is included among the top collaborators of Vera da Silva Sinha 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 Vera da Silva Sinha. Vera da Silva Sinha 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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