Naveen Khetarpal
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Artificial Intelligence
- Cultural Studies top 2%
- Language and Linguistics top 10%
- Co-authors
- Terry RegierPaul KayAsifa MajidStephani ForakerAmy PerforsJoshua B. TenenbaumBrandon AbbsPrahlad Gupta
- Topics
- Categorization, perception, and language (7 papers)Language, Metaphor, and Cognition (6 papers)Multisensory perception and integration (4 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Naveen Khetarpal
9 papers receiving 337 citations
Peers
Comparison fields: 5 of 36
- Experimental and Cognitive Psychology 278
- Social Psychology 92
- Artificial Intelligence 71
- Cultural Studies 70
- Language and Linguistics 54
Countries citing papers authored by Naveen Khetarpal
This map shows the geographic impact of Naveen Khetarpal'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 Naveen Khetarpal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naveen Khetarpal more than expected).
Fields of papers citing papers by Naveen Khetarpal
This network shows the impact of papers produced by Naveen Khetarpal. 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 Naveen Khetarpal. The network helps show where Naveen Khetarpal may publish in the future.
Co-authorship network of co-authors of Naveen Khetarpal
This figure shows the co-authorship network connecting the top 25 collaborators of Naveen Khetarpal. A scholar is included among the top collaborators of Naveen Khetarpal 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 Naveen Khetarpal. Naveen Khetarpal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Spatial terms across languages support near-optimal communication: Evidence from Peruvian Amazonia, and computational analyses | 9 |
| 2 | 34 | |
| 3 | Universals and variation in spatial language and cognition: Evidence from Chichewa | 0 |
| 4 | Similarity judgments reflect both language and cross-language tendencies: Evidence from two semantic domains | 4 |
| 5 | Spatial terms reflect near-optimal spatial categories | 14 |
| 6 | 24 | |
| 7 | 37 | |
| 8 | 8 | |
| 9 | Indirect Evidence and the Poverty of the Stimulus: The Case of Anaphoric One | 6 |
| 10 | Color Naming is Near Optimal | 0 |
| 11 | 238 |
About Naveen Khetarpal
Naveen Khetarpal is a scholar working on Experimental and Cognitive Psychology, Cultural Studies and Developmental and Educational Psychology, having authored 11 papers that have together received 374 indexed citations. Recurring topics across this work include Categorization, perception, and language (7 papers), Language, Metaphor, and Cognition (6 papers) and Multisensory perception and integration (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (278 citations), Cultural Studies (70 citations) and Language and Linguistics (54 citations). Naveen Khetarpal has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Terry Regier, Paul Kay, Asifa Majid, Stephani Foraker, Amy Perfors, Joshua B. Tenenbaum, Brandon Abbs, Prahlad Gupta, Lev Michael and Steven A. Sloman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Language and Cognitive Science.
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.