Kavitha Srinivas

3.3k citations
91 papers · 1.8k · h-index 23

Impact in

    • Memory Processes and Influences
    • Neural and Behavioral Psychology Studies
    • Memory and Neural Mechanisms
    • Face Recognition and Perception
    • Visual perception and processing mechanisms
    • Tactile and Sensory Interactions
    • Multisensory perception and integration

Papers in

Kavitha Srinivas

83 papers receiving 1.7k citations

Peers

Kavitha Srinivas
Comparison fields: 5 of 87
  • Cognitive Neuroscience 974
  • Experimental and Cognitive Psychology 476
  • Developmental and Educational Psychology 288
  • Artificial Intelligence 540
  • Software 44
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Roger Chaffin United States
Kari‐Jouko Räihä Finland
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Citations per field
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Citations per year

Countries citing papers authored by Kavitha Srinivas

Since Specialization
Citations

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

Fields of papers citing papers by Kavitha Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kavitha Srinivas, 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 Kavitha Srinivas Line = papers co-authored together Kavitha Srinivas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990242
2 2013122
3 1993116
4 199789
5 200086
6 201181
7 199777
8 199766
9 199563
10 201551
11 199642
12 198942
13 199541
14 200139
15 199039
16 199734
17 200434
18
Scalable semantic retrieval through summarization and refinement
200733
19 201932
20 202429

About Kavitha Srinivas

Kavitha Srinivas is a scholar working on Artificial Intelligence, Information Systems, Cognitive Neuroscience, Computer Networks and Communications and Management Science and Operations Research, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (26 papers), Software Engineering Research (14 papers), Data Quality and Management (13 papers), Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers), Memory Processes and Influences (11 papers), Neural and Behavioral Psychology Studies (9 papers) and Advanced Database Systems and Queries (9 papers). The work is most often cited by research in Cognitive Neuroscience (974 citations), Experimental and Cognitive Psychology (476 citations), Developmental and Educational Psychology (288 citations), Artificial Intelligence (540 citations) and Software (44 citations). Kavitha Srinivas has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include Henry L. Roediger, Anthony J. Greene, Randolph D. Easton, Anastasios Kementsietsidis, Octavian Udrea, Suparna Rajaram, John Schwoebel, Julian Dolby, Shelly Dews and Ellen Winner. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, Memory & Cognition, Proceedings of the VLDB Endowment, Journal of Memory and Language and Psychonomic Bulletin & Review.

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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