Prashant Krishnan

422 total citations · 1 hit paper
4 papers, 234 citations indexed

About

Prashant Krishnan is a scholar working on Signal Processing, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Prashant Krishnan has authored 4 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Signal Processing, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Prashant Krishnan's work include COVID-19 diagnosis using AI (3 papers), Music and Audio Processing (3 papers) and Respiratory and Cough-Related Research (2 papers). Prashant Krishnan is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Music and Audio Processing (3 papers) and Respiratory and Cough-Related Research (2 papers). Prashant Krishnan collaborates with scholars based in India. Prashant Krishnan's co-authors include Sriram Ganapathy, Srikanth Raj Chetupalli, Neeraj Kumar Sharma, Shreyas Ramoji, Prasanta Ghosh, R. Nirmala, Rohit Kumar and Lancelot Pinto and has published in prestigious journals such as Computer Speech & Language, IEEE Journal of Translational Engineering in Health and Medicine and arXiv (Cornell University).

In The Last Decade

Prashant Krishnan

4 papers receiving 228 citations

Hit 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

Prashant Krishnan

RNMI

PRM

SP

AI

PHARM

Shreyas Ramoji India

Srikanth Raj Chetupalli India

Madhurananda Pahar South Africa

Jordi Laguarta United States

Lara Orlandic Switzerland

Apinan Hasthanasombat United Kingdom

Shams Nafisa Ali Bangladesh

Dianwen Ng Singapore

Kartik Thakral India

Maurice Weber Switzerland

Shreyas Ramoji India

Prashant Krishnan

141 ×0.9

RNMI

116 ×0.9

PRM

90 ×1.1

SP

79 ×1.1

AI

29 ×1.0

PHARM

Citations per year, relative to Prashant Krishnan Prashant Krishnan (= 1×) peers Shreyas Ramoji

Countries citing papers authored by Prashant Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Prashant Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Krishnan. A scholar is included among the top collaborators of Prashant Krishnan 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 Prashant Krishnan. Prashant Krishnan 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:

4 of 4 papers shown

1.

Chetupalli, Srikanth Raj, Prashant Krishnan, Neeraj Kumar Sharma, et al.. (2023). Multi-Modal Point-of-Care Diagnostics for COVID-19 Based on Acoustics and Symptoms. IEEE Journal of Translational Engineering in Health and Medicine. 11. 199–210. 14 indexed citations

2.

Sharma, Neeraj Kumar, et al.. (2022). Towards sound based testing of COVID-19â��Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge. ePrints@IISc (Indian Institute of Science). 5 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 →

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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