Sravana Reddy

632 total citations
18 papers, 318 citations indexed

About

Sravana Reddy is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Sravana Reddy has authored 18 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Sravana Reddy's work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Phonetics and Phonology Research (3 papers). Sravana Reddy is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Phonetics and Phonology Research (3 papers). Sravana Reddy collaborates with scholars based in United States, United Kingdom and Austria. Sravana Reddy's co-authors include Kevin Knight, James N. Stanford, Henriette Cramer, Jean Garcia-Gathright, Aaron Springer, Rosie Jones, Jussi Karlgren, Aasish Pappu, Ben Carterette and Ann Clifton and has published in prestigious journals such as IEEE Signal Processing Magazine, interactions and American Speech.

In The Last Decade

Sravana Reddy

18 papers receiving 271 citations

Peers

Sravana Reddy
Comparison fields: 5 of 54
  • Artificial Intelligence 173
  • Experimental and Cognitive Psychology 73
  • Linguistics and Language 71
  • Signal Processing 59
  • Language and Linguistics 35
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Citations per field, relative to Sravana Reddy
Sravana Reddy · 1×
Citations per year, relative to Sravana Reddy
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Countries citing papers authored by Sravana Reddy

Since Specialization
Citations

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

Fields of papers citing papers by Sravana Reddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sravana Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of Sravana Reddy. A scholar is included among the top collaborators of Sravana Reddy 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 Sravana Reddy. Sravana Reddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 3
2 3
3 13
4 34
5
TREC 2020 Podcasts Track Overview.
1
6 18
7 23
8 27
9 11
10 43
11 43
12 34
13
G2P Conversion of Proper Names Using Word Origin Information
5
14
Unsupervised Discovery of Rhyme Schemes
25
15
What We Know About The Voynich Manuscript
22
16
An MDL-based approach to extracting subword units for grapheme-to-phoneme conversion
2
17 1
18 10

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