Mahesh Srinivasan

2.6k citations
61 papers · 1.2k indexed · h-index 22

Mahesh Srinivasan

53 papers receiving 1.2k citations

Peers

Mahesh Srinivasan
Comparison fields: 5 of 115
  • Developmental and Educational Psychology 373
  • Experimental and Cognitive Psychology 378
  • Industrial and Manufacturing Engineering 183
  • Statistics and Probability 142
  • Language and Linguistics 155
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Mark Torrance United Kingdom
Pierre Rabardel France
Denis Dumas United States
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Patrik Pluchino Italy
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Nadine Marcus Australia
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Citations per field
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Citations per year

Countries citing papers authored by Mahesh Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mahesh Srinivasan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mahesh Srinivasan Line = papers co-authored together Mahesh Srinivasan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20236
4 20225
5 20213
6 20217
7 202026
8 20186
9 201840
10
Faultless disagreement judgments track adults' estimates of population-level consensus over adjective-referent pairs.
20180
11
The development of a generative lexicon: Evidence from instrument verbs
20182
12
Mental Algorithms in the Historical Emergence of Word Meanings.
20170
13
Could both be right? Children's and adults' sensitivity to subjectivity in language.
20173
14
Lexical Complexity of Child-Directed and Overheard Speech: Implications for Learning.
20168
15 201656
16 201334
17 201132
18 201012
19 2010124
20 198814

About Mahesh Srinivasan

Mahesh Srinivasan is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Statistics and Probability, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Child and Animal Learning Development (20 papers), Categorization, perception, and language (13 papers), Language Development and Disorders (13 papers), Language, Metaphor, and Cognition (11 papers), Cognitive and developmental aspects of mathematical skills (8 papers), Reading and Literacy Development (7 papers), Language and cultural evolution (5 papers) and Manufacturing Process and Optimization (5 papers). The work is most often cited by research in Developmental and Educational Psychology (373 citations), Experimental and Cognitive Psychology (378 citations) and Industrial and Manufacturing Engineering (183 citations). Mahesh Srinivasan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include P. Sheng, Susan Carey, David Barner, Hugh Rabagliati, Ruthe Foushee, Yang Xu, Barbara C. Malt, Jesse Snedeker, Ariel Starr and Yarrow Dunham.

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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2026