Shreyas Ramoji

411 total citations · 1 hit paper
8 papers, 232 citations indexed

About

Shreyas Ramoji is a scholar working on Artificial Intelligence, Signal Processing and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shreyas Ramoji has authored 8 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Signal Processing and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Shreyas Ramoji's work include Speech Recognition and Synthesis (7 papers), Music and Audio Processing (6 papers) and Speech and Audio Processing (4 papers). Shreyas Ramoji is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Music and Audio Processing (6 papers) and Speech and Audio Processing (4 papers). Shreyas Ramoji collaborates with scholars based in India and United States. Shreyas Ramoji's co-authors include Sriram Ganapathy, Prashant Krishnan, R. Nirmala, Rohit Kumar, Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Prasanta Ghosh, Anand Mohan and Deepu Vijayasenan and has published in prestigious journals such as Speech Communication, Computer Speech & Language and arXiv (Cornell University).

In The Last Decade

Shreyas Ramoji

8 papers receiving 226 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

2020 211 citations Neeraj Kumar Sharma, Prashant Krishnan et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shreyas Ramoji India	5	141	116	90	79	29	8	232
Prashant Krishnan India	4	151 1.1×	125 1.1×	83 0.9×	73 0.9×	29 1.0×	4	234
Srikanth Raj Chetupalli India	7	172 1.2×	141 1.2×	172 1.9×	124 1.6×	33 1.1×	29	343
Madhurananda Pahar South Africa	6	189 1.3×	190 1.6×	72 0.8×	84 1.1×	32 1.1×	13	329
Apinan Hasthanasombat United Kingdom	6	78 0.6×	64 0.6×	89 1.0×	59 0.7×	13 0.4×	7	186
Shams Nafisa Ali Bangladesh	6	46 0.3×	104 0.9×	25 0.3×	38 0.5×		8	228
Dianwen Ng Singapore	8	85 0.6×	26 0.2×	55 0.6×	151 1.9×		23	258
Kartik Thakral India	7	227 1.6×	53 0.5×	13 0.1×	164 2.1×		14	370
Maurice Weber Switzerland	6	6 0.0×	31 0.3×	19 0.2×	82 1.0×	8 0.3×	8	127
Sakshi Ahuja India	7	331 2.3×	56 0.5×	7 0.1×	251 3.2×	2 0.1×	10	450
Rohit Joshi United States	7	30 0.2×	13 0.1×	36 0.4×	206 2.6×		7	310

Countries citing papers authored by Shreyas Ramoji

Since Specialization

Citations

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

Fields of papers citing papers by Shreyas Ramoji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shreyas Ramoji

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Ramoji, Shreyas, et al.. (2024). Summary of the DISPLACE challenge 2023-DIarization of SPeaker and LAnguage in Conversational Environments. Speech Communication. 161. 103080–103080. 1 indexed citations

2.

Ramoji, Shreyas, et al.. (2023). The DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environments. 3562–3566. 1 indexed citations

3.

Ramoji, Shreyas, Prashant Krishnan, & Sriram Ganapathy. (2022). PLDA inspired Siamese networks for speaker verification. Computer Speech & Language. 76. 101383–101383. 4 indexed citations

4.

Sharma, Neeraj Kumar, Prashant Krishnan, Rohit Kumar, et al.. (2020). Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis. arXiv (Cornell University). 4811–4815. 211 indexed citations breakdown →

5.

Ramoji, Shreyas, et al.. (2019). The Leap Speaker Recognition System for NIST SRE 2018 Challenge. 5771–5775. 1 indexed citations

6.

Ramoji, Shreyas & Sriram Ganapathy. (2019). Supervised I-vector modeling for language and accent recognition. Computer Speech & Language. 60. 101030–101030. 6 indexed citations

7.

Ramoji, Shreyas, et al.. (2018). The LEAP Language Recognition System for LRE 2017 Challenge - Improvements and Error Analysis. 31–38. 4 indexed citations

8.

Ramoji, Shreyas & Sriram Ganapathy. (2018). Supervised I-vector Modeling - Theory and Applications. 1091–1095. 4 indexed citations

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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