Srinivas Narayanan
Impact in
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- Language, Metaphor, and Cognition
- Categorization, perception, and language
- Social Psychology top 10%
- Action Observation and Synchronization
Papers in
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- Advanced Text Analysis Techniques 2
- Topic Modeling 2
- Semantic Web and Ontologies 1
- Natural Language Processing Techniques 1
- Bayesian Modeling and Causal Inference 1
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- Language, Metaphor, and Cognition 3
- Co-authors
- Jerome A. Feldman (2 shared papers)Collin F. Baker (1 shared paper)Charles J. Fillmore (1 shared paper)Miriam R. L. Petruck (1 shared paper)Yanxin Shi (1 shared paper)
- Journals
- Brain and Language (1 paper)International Joint Conference on Artificial Intelligence (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Srinivas Narayanan
6 papers receiving 320 citations
Peers
Comparison fields: 5 of 46
- Experimental and Cognitive Psychology 237
- Social Psychology 149
- Language and Linguistics 60
- Developmental and Educational Psychology 62
- Artificial Intelligence 148
Countries citing papers authored by Srinivas Narayanan
This map shows the geographic impact of Srinivas Narayanan'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 Srinivas Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivas Narayanan more than expected).
Fields of papers citing papers by Srinivas Narayanan
This network shows the impact of papers produced by Srinivas Narayanan. 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 Srinivas Narayanan. The network helps show where Srinivas Narayanan may publish in the future.
Co-authors
The 5 scholars most cited alongside Srinivas Narayanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 231 | |
| 2 | Moving right along: a computational model of metaphoric reasoning about events | 1999 | 66 |
| 3 | Karma: knowledge-based active representations for metaphor and aspect | 1997 | 50 |
| 4 | Reasoning About Actions in Narrative Understanding | 1999 | 33 |
| 5 | 2003 | 4 | |
| 6 | 2011 | 3 |
About Srinivas Narayanan
Srinivas Narayanan is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Information Systems, Social Psychology and Cultural Studies, having authored 6 papers that have together received 387 indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (3 papers), Advanced Text Analysis Techniques (2 papers), Topic Modeling (2 papers), Semantic Web and Ontologies (1 paper), Natural Language Processing Techniques (1 paper), Action Observation and Synchronization (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Language and cultural evolution (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (237 citations), Social Psychology (149 citations), Language and Linguistics (60 citations), Developmental and Educational Psychology (62 citations) and Artificial Intelligence (148 citations). Srinivas Narayanan has collaborated with scholars based in United States. Frequent co-authors include Jerome A. Feldman, Collin F. Baker, Charles J. Fillmore, Miriam R. L. Petruck and Yanxin Shi. Their work appears in journals such as Brain and Language, International Joint Conference on Artificial Intelligence and National Conference on Artificial Intelligence.
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.