Kaushallya Adhikari

522 total citations
38 papers, 335 citations indexed

About

Kaushallya Adhikari is a scholar working on Signal Processing, Aerospace Engineering and Oceanography. According to data from OpenAlex, Kaushallya Adhikari has authored 38 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Signal Processing, 22 papers in Aerospace Engineering and 6 papers in Oceanography. Recurrent topics in Kaushallya Adhikari's work include Direction-of-Arrival Estimation Techniques (29 papers), Speech and Audio Processing (23 papers) and Antenna Design and Optimization (15 papers). Kaushallya Adhikari is often cited by papers focused on Direction-of-Arrival Estimation Techniques (29 papers), Speech and Audio Processing (23 papers) and Antenna Design and Optimization (15 papers). Kaushallya Adhikari collaborates with scholars based in United States. Kaushallya Adhikari's co-authors include John R. Buck, Kathleen E. Wage, Steven Kay, Igal Bilik, R.J. Vaccaro, Thao Pham, Walter G. Besio, Lauren A. Freeman, Christopher J. Bell and Bo Tang and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Kaushallya Adhikari

31 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaushallya Adhikari United States 9 292 172 87 56 32 38 335
Keyong Han United States 7 379 1.3× 232 1.3× 107 1.2× 32 0.6× 62 1.9× 12 438
Jens Steinwandt Germany 11 291 1.0× 125 0.7× 132 1.5× 24 0.4× 81 2.5× 29 357
Renzheng Cao China 8 245 0.8× 188 1.1× 85 1.0× 16 0.3× 54 1.7× 15 307
Veerendra Dakulagi India 11 184 0.6× 115 0.7× 94 1.1× 21 0.4× 69 2.2× 35 278
Michael Rübsamen Germany 10 382 1.3× 210 1.2× 158 1.8× 28 0.5× 95 3.0× 18 489
R.T. Williams United States 5 304 1.0× 123 0.7× 76 0.9× 57 1.0× 66 2.1× 11 344
Guodong Qin China 8 230 0.8× 159 0.9× 106 1.2× 18 0.3× 30 0.9× 17 294
M.A. Doron Israel 8 370 1.3× 167 1.0× 108 1.2× 37 0.7× 88 2.8× 12 400
Ruiyan Du China 8 195 0.7× 120 0.7× 156 1.8× 20 0.4× 75 2.3× 83 349
N. Yuen United States 6 308 1.1× 106 0.6× 114 1.3× 20 0.4× 48 1.5× 10 340

Countries citing papers authored by Kaushallya Adhikari

Since Specialization
Citations

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

Fields of papers citing papers by Kaushallya Adhikari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaushallya Adhikari

This figure shows the co-authorship network connecting the top 25 collaborators of Kaushallya Adhikari. A scholar is included among the top collaborators of Kaushallya Adhikari 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 Kaushallya Adhikari. Kaushallya Adhikari 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.
Kay, Steven, Kaushallya Adhikari, & Bo Tang. (2025). A Nonparametric Data-Driven Classifier Based on the Cumulant Generating Function. IEEE Transactions on Signal Processing. 73. 519–533.
2.
Bell, Christopher J., Kaushallya Adhikari, & Andrew Brown. (2025). Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds. IEEE Access. 13. 25533–25545.
3.
Kay, Steven & Kaushallya Adhikari. (2025). Introducing Information Metrics for Statistical Signal Processing [Lecture Notes]. IEEE Signal Processing Magazine. 42(2). 16–26.
4.
Adhikari, Kaushallya, et al.. (2024). SVM for Classification of Ten-Finger Imagined Movements using tEEG Signals. 557–561.
5.
Adhikari, Kaushallya, et al.. (2024). Comparative Analysis of SVM and CNN for Sonar Signal Classification Using Sparse Arrays. IEEE Access. 12. 59818–59830. 2 indexed citations
6.
Adhikari, Kaushallya, et al.. (2024). Autoregressive Modeling of Time Series in Renewable Energy Systems. Journal of Media Literacy Education. 372–378.
7.
Bell, Christopher J., Kaushallya Adhikari, & Lauren A. Freeman. (2023). Convolutional Neural Network-Based Regression for Direction of Arrival Estimation. Journal of Media Literacy Education. I. 373–379. 4 indexed citations
8.
Adhikari, Kaushallya, et al.. (2023). Performance Analysis of SVM-Based DOA Estimation for Uniform Linear Arrays. Journal of Media Literacy Education. 198. 339–345. 3 indexed citations
9.
Adhikari, Kaushallya & Steven Kay. (2023). An Exact Solution for Sparse Sampling for Optimal Detection of Known Signals in Gaussian Noise. IEEE Signal Processing Letters. 30. 369–373. 5 indexed citations
10.
Adhikari, Kaushallya, Bo Tang, Steven Kay, & Christopher J. Bell. (2023). Underwater Signal Detection Using Non-Parametric Classifiers. Digital Commons - URI (University of Rhode Island). 1–6. 3 indexed citations
11.
Adhikari, Kaushallya, et al.. (2023). Optimal Subspace Estimation in Radar Signal Processing. Digital Commons - URI (University of Rhode Island). 1–6. 1 indexed citations
12.
Adhikari, Kaushallya, et al.. (2022). Shift invariant sparse arrays and their optimal signal and noise subspaces. Signal Processing. 198. 108579–108579. 8 indexed citations
13.
Adhikari, Kaushallya, et al.. (2022). Language Mapping using tEEG and EEG Data with Convolutional Neural Networks. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 4060–4063. 4 indexed citations
14.
Adhikari, Kaushallya, et al.. (2021). Minimum Norm Method for Linear and Planar Sparse Arrays. Journal of Media Literacy Education. 14. 1–6. 1 indexed citations
15.
Adhikari, Kaushallya, et al.. (2019). Comparison of MUSIC Variants for Sparse Arrays. 63. 398–405. 6 indexed citations
16.
Adhikari, Kaushallya, et al.. (2019). Nested sensor array extension factors required to match the peak sidelobe height of a uniform linear array. The Journal of the Acoustical Society of America. 145(3_Supplement). 1733–1733. 1 indexed citations
17.
Adhikari, Kaushallya. (2018). Sampling with semi-coprime arrays. The Journal of the Acoustical Society of America. 143(3_Supplement). 1851–1851. 1 indexed citations
18.
Adhikari, Kaushallya & John R. Buck. (2017). Detection performance analysis of product processing of colinear arrays. The Journal of the Acoustical Society of America. 142(4_Supplement). 2587–2587. 4 indexed citations
19.
Adhikari, Kaushallya & John R. Buck. (2015). Gaussian signal detection by coprime sensor arrays. 2379–2383. 22 indexed citations
20.
Adhikari, Kaushallya, John R. Buck, & Kathleen E. Wage. (2013). Beamforming with extended co-prime sensor arrays. 4183–4186. 49 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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