Piya Pal

7.1k total citations · 3 hit papers
121 papers, 5.4k citations indexed

About

Piya Pal is a scholar working on Signal Processing, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Piya Pal has authored 121 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Signal Processing, 53 papers in Computational Mechanics and 28 papers in Aerospace Engineering. Recurrent topics in Piya Pal's work include Direction-of-Arrival Estimation Techniques (66 papers), Sparse and Compressive Sensing Techniques (46 papers) and Speech and Audio Processing (42 papers). Piya Pal is often cited by papers focused on Direction-of-Arrival Estimation Techniques (66 papers), Sparse and Compressive Sensing Techniques (46 papers) and Speech and Audio Processing (42 papers). Piya Pal collaborates with scholars based in United States, India and Australia. Piya Pal's co-authors include P. P. Vaidyanathan, Ali Koochakzadeh, Chun-Lin Liu, Wei Liu, Siliang Wu, Wei Cui, Santosh Nannuru, Peter Gerstoft, Qing Shen and Kay L. Gemba and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and IEEE Transactions on Signal Processing.

In The Last Decade

Piya Pal

109 papers receiving 5.2k citations

Hit Papers

Nested Arrays: A Novel Approach to Array Processing With ... 2010 2026 2015 2020 2010 2010 2011 400 800 1.2k
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.

  1. Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom
    2010 1.5k citations Piya Pal, P. P. Vaidyanathan IEEE Transactions on Signal Processing profile →
  2. Sparse Sensing With Co-Prime Samplers and Arrays
    2010 1.3k citations P. P. Vaidyanathan, Piya Pal IEEE Transactions on Signal Processing profile →
  3. Coprime sampling and the music algorithm
    2011 676 citations Piya Pal, P. P. Vaidyanathan profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piya Pal United States 25 4.7k 2.8k 1.4k 957 352 121 5.4k
S.U. Pillai United States 21 1.9k 0.4× 1.7k 0.6× 781 0.6× 415 0.4× 255 0.7× 79 3.4k
M.D. Zoltowski United States 37 3.9k 0.8× 2.0k 0.7× 3.2k 2.3× 934 1.0× 291 0.8× 281 6.2k
L.J. Griffiths United States 19 2.8k 0.6× 1.0k 0.4× 492 0.4× 1.9k 1.9× 142 0.4× 84 3.5k
Zai Yang China 19 1.6k 0.3× 826 0.3× 856 0.6× 1.1k 1.1× 294 0.8× 71 2.7k
Braham Himed United States 46 2.2k 0.5× 5.6k 2.0× 1.4k 1.0× 571 0.6× 106 0.3× 304 6.7k
Arye Nehorai United States 26 1.6k 0.3× 657 0.2× 754 0.6× 300 0.3× 176 0.5× 63 2.5k
Michael C. Wicks United States 34 1.7k 0.4× 4.1k 1.5× 1.1k 0.8× 332 0.3× 49 0.1× 266 5.2k
Yuri I. Abramovich Australia 27 1.4k 0.3× 1.7k 0.6× 348 0.3× 223 0.2× 78 0.2× 190 2.4k
Zishu He China 29 1.1k 0.2× 3.0k 1.1× 977 0.7× 190 0.2× 42 0.1× 313 3.6k
Daniel R. Fuhrmann United States 20 1.4k 0.3× 2.5k 0.9× 396 0.3× 210 0.2× 57 0.2× 96 3.4k

Countries citing papers authored by Piya Pal

Since Specialization
Citations

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

Fields of papers citing papers by Piya Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piya Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Piya Pal. A scholar is included among the top collaborators of Piya Pal 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 Piya Pal. Piya Pal 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.
2.
Tiwari, J. L., et al.. (2025). DCMS analysis revealed differential selection signatures in the transboundary Sahiwal cattle for major economic traits. Scientific Reports. 15(1). 15685–15685. 1 indexed citations
3.
Pal, Piya, et al.. (2023). Harnessing Holes for Spatial Smoothing with Applications in Automotive Radar. 1308–1312. 1 indexed citations
4.
Hattori, Ryoma, et al.. (2023). Super-Resolution With Binary Priors: Theory and Algorithms. IEEE Transactions on Signal Processing. 71. 3213–3228.
5.
6.
Chen, Jiawen, Piya Pal, & Eric T. Ahrens. (2022). Enhanced detection of paramagnetic fluorine‐19 magnetic resonance imaging agents using zero echo time sequence and compressed sensing. NMR in Biomedicine. 35(8). e4725–e4725. 8 indexed citations
7.
Nguyen, P., et al.. (2022). SERS-based ssDNA composition analysis with inhomogeneous peak broadening and reservoir computing. Applied Physics Letters. 120(2). 2 indexed citations
8.
Chen, Jiawen, et al.. (2022). Exploring the Geometry of Generative Priors with Applications in Cellular MRI. 1010–1015. 2 indexed citations
9.
10.
Pal, Piya, et al.. (2019). A Non-convex Approach to Non-negative Super-resolution: Theory and Algorithm. 4220–4224. 4 indexed citations
11.
Pal, Piya, et al.. (2019). Guaranteed Localization of More Sources Than Sensors With Finite Snapshots in Multiple Measurement Vector Models Using Difference Co-Arrays. IEEE Transactions on Signal Processing. 67(22). 5715–5729. 39 indexed citations
12.
Nannuru, Santosh, Peter Gerstoft, Ali Koochakzadeh, & Piya Pal. (2018). Sparse Bayesian Learning for DOA Estimation Using Co-Prime and Nested Arrays. 519–523. 10 indexed citations
13.
Pal, Piya, et al.. (2017). Unified analysis of co-array interpolation for direction-of-arrival estimation. 3056–3060. 42 indexed citations
14.
Liu, Chun-Lin, P. P. Vaidyanathan, & Piya Pal. (2016). Coprime coarray interpolation for DOA estimation via nuclear norm minimization. 2639–2642. 138 indexed citations
15.
Pal, Piya, et al.. (2016). Sparse phase retrieval with near minimal measurements: A structured sampling based approach. 4722–4726. 1 indexed citations
16.
Pal, Piya, et al.. (2016). Theoretical and experimental study of sub-Nyquist FMCW LIDAR systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9857. 985702–985702. 1 indexed citations
17.
Vaidyanathan, P. P. & Piya Pal. (2012). Direct-MUSIC on sparse arrays. 1–5. 41 indexed citations
18.
Pal, Piya & P. P. Vaidyanathan. (2011). Coprime sampling and the music algorithm. 289–294. 676 indexed citations breakdown →
19.
Pal, Piya & P. P. Vaidyanathan. (2011). Coprimality of Certain Families of Integer Matrices. IEEE Transactions on Signal Processing. 59(4). 1481–1490. 8 indexed citations
20.
Pal, Piya & P. P. Vaidyanathan. (2009). A novel autofocusing approach for estimating directions-of-arrival of wideband signals. 1663–1667. 24 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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