Vaishali Kulkarni

468 total citations
40 papers, 264 citations indexed

About

Vaishali Kulkarni is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vaishali Kulkarni has authored 40 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 14 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vaishali Kulkarni's work include Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (10 papers) and Music and Audio Processing (5 papers). Vaishali Kulkarni is often cited by papers focused on Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (10 papers) and Music and Audio Processing (5 papers). Vaishali Kulkarni collaborates with scholars based in India and United States. Vaishali Kulkarni's co-authors include Shashikant Patil, H. B. Kekre, U.S. Raikar, Vinayak Ashok Bharadi, Maitreya Natu, Prateek Kumar Singh, Zia Saquib, Manan Shah, V.N. Bapat and Priyanka Verma and has published in prestigious journals such as Heliyon, Journal of Sensor and Actuator Networks and IET Image Processing.

In The Last Decade

Vaishali Kulkarni

34 papers receiving 231 citations

Peers

Vaishali Kulkarni
Liang Chang China
Miloš Železný Czechia
Tianming Zhao United States
Norah Alnaim Saudi Arabia
Christopher Conly United States
Charul Bhatnagar India
G. K. Kharate India
Jakub Gałka Poland
Hafizah Husain Malaysia
Liang Chang China
Vaishali Kulkarni
Citations per year, relative to Vaishali Kulkarni Vaishali Kulkarni (= 1×) peers Liang Chang

Countries citing papers authored by Vaishali Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Vaishali Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaishali Kulkarni

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

All Works

20 of 20 papers shown
1.
Kulkarni, Vaishali, et al.. (2025). LIDNeRF. International Journal of Intelligent Information Technologies. 21(1). 1–18.
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Kulkarni, Vaishali, et al.. (2022). Cooperative Spectrum Sensing under SISO and MIMO Environment forCognitive Radio Networks. International Journal of Sensors Wireless Communications and Control. 12(4). 302–311. 2 indexed citations
4.
Kulkarni, Vaishali, et al.. (2021). GAN Based Try-On System: Improving CAGAN Towards Commercial Viability. abs 1611 7004. 1–6. 3 indexed citations
5.
Kulkarni, Vaishali, et al.. (2019). Credit Card Fraud Detection using Deep Learning. 1–5. 10 indexed citations
6.
Patil, Shashikant, et al.. (2019). Algorithmic analysis for dental caries detection using an adaptive neural network architecture. Heliyon. 5(5). e01579–e01579. 42 indexed citations
7.
Patil, Shashikant, et al.. (2018). Caries Detection with the Aid of Multilinear Principal Component Analysis and Neural Network. 272–277. 1 indexed citations
8.
Kulkarni, Vaishali, et al.. (2017). Enhancing cyber physical system security via anomaly detection using behaviour analysis. 944–948. 3 indexed citations
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Kulkarni, Vaishali, et al.. (2016). Simulation & development of high power class-D, 2 MHz, 4 kW RF source for RF based H−ion source. 10–13. 3 indexed citations
11.
Kulkarni, Vaishali, et al.. (2015). Indian sign language translator using gesture recognition algorithm. 195–200. 49 indexed citations
12.
Bapat, V.N., et al.. (2015). Classification and determination of physical intrusion using Wireless Sensor Networks. 90. 1–5. 1 indexed citations
13.
Natu, Maitreya, et al.. (2014). Problem identification by mining trouble tickets. International Conference on Management of Data. 76–86. 5 indexed citations
14.
Kulkarni, Vaishali, et al.. (2014). Indian Sign Language Recognition: Database creation, Hand tracking and Segmentation. 358–363. 16 indexed citations
15.
Kulkarni, Vaishali, et al.. (2014). Real time analysis of EEG signals on Android application. 1–4. 3 indexed citations
16.
Kekre, H. B. & Vaishali Kulkarni. (2013). Closed set and open set Speaker Identification using amplitude distribution of different Transforms. 2. 1–8. 3 indexed citations
17.
Kekre, H. B., et al.. (2012). Speaker Identification using Spectrograms of Varying Frame Sizes. International Journal of Computer Applications. 50(20). 27–33. 14 indexed citations
18.
Kekre, H. B. & Vaishali Kulkarni. (2011). Automatic speaker recognition using circular DFT sectors. 1280–1280. 1 indexed citations
19.
Kulkarni, Vaishali, et al.. (2011). Speaker Identification using Row Mean of Haar and Kekre’s Transform on Spectrograms of Different Frame Sizes. International Journal of Advanced Computer Science and Applications. 1(3). 2 indexed citations
20.
Kekre, H. B., et al.. (2010). Off-line signature recognition using morphological pixel variance analysis. 3–10. 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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