Vaishali Kulkarni

63 total papers · 464 total citations
40 papers, 260 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 260 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, Prateek Kumar Singh, Maitreya Natu, U.S. Raikar, Vinayak Ashok Bharadi, V.N. Bapat, Zia Saquib, Priyanka Verma and Manan Shah 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 227 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vaishali Kulkarni 76 74 66 53 53 40 260
Ahmad Sami Al‐Shamayleh 83 1.1× 61 0.8× 28 0.4× 31 0.6× 35 0.7× 51 315
Qiang Song 13 0.2× 78 1.1× 22 0.3× 3 0.1× 32 0.6× 36 300
Maheshi B. Dissanayake 9 0.1× 42 0.6× 36 0.5× 5 0.1× 64 1.2× 41 268
Carmelo Pino 31 0.4× 48 0.6× 11 0.2× 5 0.1× 17 0.3× 45 255
Liang Chang 61 0.8× 46 0.6× 19 0.3× 9 0.2× 9 0.2× 32 310
Miloš Železný 110 1.4× 60 0.8× 90 1.4× 56 1.1× 25 0.5× 59 287
Norah Alnaim 37 0.5× 87 1.2× 18 0.3× 14 0.3× 21 0.4× 22 264
Li Liu 48 0.6× 54 0.7× 89 1.3× 34 0.6× 24 0.5× 26 188
G. K. Kharate 103 1.4× 55 0.7× 20 0.3× 45 0.8× 28 0.5× 43 266
Charul Bhatnagar 62 0.8× 71 1.0× 54 0.8× 38 0.7× 39 0.7× 39 314

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

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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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