Prahlad Gupta

47 papers receiving 1.7k citations

Peers

Prahlad Gupta
Comparison fields: 5 of 122
  • Cognitive Neuroscience 1.1k
  • Developmental and Educational Psychology 1.1k
  • Experimental and Cognitive Psychology 300
  • Artificial Intelligence 180
  • Periodontics 121
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Citations per field
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Countries citing papers authored by Prahlad Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Prahlad Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prahlad Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Prahlad Gupta. A scholar is included among the top collaborators of Prahlad Gupta 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 Prahlad Gupta. Prahlad Gupta 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
#WorkIndexed citations
1 3
2 10
3 9
4 55
5 15
6 3
7
Learning Novel Neighbors: Distributed mappings help children and connectionist models
10
8 5
9
A Behavioral and Computational Integration of Phonological, Short-Term Memory, and Vocabulary Acquisition Processes in Nonword Repetition
2
10 55
11 53
12
Why Is Word Learning Related to List Memory? Empirical and Neuropsychological Tests of a Computational Account
2
13 65
14
Separating the Effects of Duration and Neighborhood Density in Nonword Repetition Latency
2
15 30
16 105
17
Zen in the Art of Language Acquisition: Statistical Learning and the Less is More Hypothesis
13
18 2
19
Is the Phonological Loop Articulatory or Auditory
4
20
A Connectionist Learning Approach to Analyzing Linguistic Stress
1

About Prahlad Gupta

Prahlad Gupta is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Periodontics, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reading and Literacy Development (23 papers), Neurobiology of Language and Bilingualism (19 papers) and Language Development and Disorders (14 papers). The work is most often cited by research in Developmental and Educational Psychology (1.1k citations), Cognitive Neuroscience (1.1k citations) and Periodontics (121 citations). Prahlad Gupta has collaborated with scholars based in United States, India and Nepal. Frequent co-authors include Brian MacWhinney, Nadine Martin, John Lipinski, Neal J. Cohen, William W. Graves, Harkanwal Preet Singh, Thomas J. Grabowski, Sonya Mehta, Brandon Abbs and David S. Touretzky. Their work appears in journals such as Psychological Review, Philosophical Transactions of the Royal Society B Biological Sciences and Social Science & Medicine.

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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