Supriya Aggarwal

447 total citations
27 papers, 333 citations indexed

About

Supriya Aggarwal is a scholar working on Signal Processing, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Supriya Aggarwal has authored 27 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 16 papers in Computational Theory and Mathematics and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Supriya Aggarwal's work include Digital Filter Design and Implementation (17 papers), Numerical Methods and Algorithms (16 papers) and Advanced Wireless Communication Techniques (9 papers). Supriya Aggarwal is often cited by papers focused on Digital Filter Design and Implementation (17 papers), Numerical Methods and Algorithms (16 papers) and Advanced Wireless Communication Techniques (9 papers). Supriya Aggarwal collaborates with scholars based in India, Singapore and United States. Supriya Aggarwal's co-authors include Kavita Khare, Pramod Kumar Meher, Ram Narayan Yadav, D. K. Raghuvanshi, Viet Tu Nguyen, Chadi Jabbour and Himanshu Rai and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and Journal of the Franklin Institute.

In The Last Decade

Supriya Aggarwal

24 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supriya Aggarwal India 9 207 171 159 88 43 27 333
Sau-Gee Chen Taiwan 13 409 2.0× 160 0.9× 275 1.7× 146 1.7× 39 0.9× 80 565
Byeong‐Gyu Nam South Korea 10 221 1.1× 184 1.1× 131 0.8× 110 1.3× 19 0.4× 39 443
Vicenç Almenar Spain 14 428 2.1× 60 0.4× 81 0.5× 188 2.1× 33 0.8× 69 534
Javier Hormigo Spain 12 168 0.8× 206 1.2× 179 1.1× 28 0.3× 42 1.0× 48 397
Kavita Khare India 11 355 1.7× 195 1.1× 152 1.0× 27 0.3× 47 1.1× 85 507
A.A. Gaffar United Kingdom 9 215 1.0× 223 1.3× 107 0.7× 36 0.4× 41 1.0× 12 405
Khalid H. Abed United States 8 200 1.0× 202 1.2× 164 1.0× 24 0.3× 33 0.8× 39 355
Shousheng He Sweden 7 481 2.3× 265 1.5× 563 3.5× 95 1.1× 36 0.8× 8 790
Yu-Wei Lin Taiwan 5 314 1.5× 124 0.7× 331 2.1× 41 0.5× 12 0.3× 8 458
Tze‐Yun Sung Taiwan 10 66 0.3× 107 0.6× 161 1.0× 12 0.1× 39 0.9× 50 314

Countries citing papers authored by Supriya Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Supriya Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Aggarwal. A scholar is included among the top collaborators of Supriya Aggarwal 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 Supriya Aggarwal. Supriya Aggarwal 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.
Meher, Pramod Kumar & Supriya Aggarwal. (2025). Efficient Design and Implementation of Scale-Free CORDIC With Mutually Exclusive Micro-Rotations. IEEE Transactions on Circuits and Systems I Regular Papers. 72(5). 2243–2251.
2.
Aggarwal, Supriya & Pramod Kumar Meher. (2022). Enhanced Sharpening of CIC Decimation Filters, Implementation and Applications. Circuits Systems and Signal Processing. 41(8). 4581–4603. 10 indexed citations
4.
Aggarwal, Supriya. (2021). Efficient design of decimation filter using linear programming and its FPGA implementation. Integration. 79. 94–106. 4 indexed citations
5.
Aggarwal, Supriya. (2021). Product of two Gaussian Q-functions as sum of exponentials and its applications. Annals of Telecommunications. 77(3-4). 151–161.
6.
Aggarwal, Supriya. (2020). Generalized solution to symbol error probability integral containing over different fading models. International Journal of Communication Systems. 34(1). 1 indexed citations
7.
Aggarwal, Supriya. (2020). Application of Gaussian Q-Function Approximations in Fluctuating Beckmann Fading Model. National Academy Science Letters. 44(2). 125–131. 1 indexed citations
8.
Aggarwal, Supriya. (2019). Approximate Solution to SEP Integral over Fluctuating Beckmann Fading. Wireless Personal Communications. 111(3). 1367–1376. 4 indexed citations
9.
Aggarwal, Supriya. (2019). A Survey-cum-Tutorial on Approximations to Gaussian ${Q}$ Function for Symbol Error Probability Analysis Over Nakagami-${m}$ Fading Channels. IEEE Communications Surveys & Tutorials. 21(3). 2195–2223. 30 indexed citations
10.
Aggarwal, Supriya. (2019). Closed‐form solutions to SEP integrals over generalized fading distributions ημ and κμ using approximate computing. International Journal of Communication Systems. 32(18). 3 indexed citations
11.
Khare, Kavita, et al.. (2017). Performance optimized digital QPSK modulator. 68–71. 3 indexed citations
12.
Aggarwal, Supriya, Pramod Kumar Meher, & Kavita Khare. (2015). Concept, Design, and Implementation of Reconfigurable CORDIC. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 24(4). 1588–1592. 54 indexed citations
13.
Aggarwal, Supriya & Pramod Kumar Meher. (2014). Reconfigurable CORDIC architectures for multi-mode and multi-trajectory operations. 2490–2494. 12 indexed citations
14.
Aggarwal, Supriya, Pramod Kumar Meher, & Kavita Khare. (2013). Scale-Free Hyperbolic CORDIC Processor and Its Application to Waveform Generation. IEEE Transactions on Circuits and Systems I Regular Papers. 60(2). 314–326. 43 indexed citations
15.
Khare, Kavita, et al.. (2013). A Novel Scaling Free Vectoring CORDIC and its FPGA Implementation. International Journal of Computer Applications. 63(14). 1–5. 1 indexed citations
16.
Aggarwal, Supriya & Kavita Khare. (2012). Hardware Efficient Architecture for Generating Sine/Cosine Waves. 57–61. 9 indexed citations
17.
Aggarwal, Supriya & Kavita Khare. (2012). Low complexity VLSI implementation of CORDIC-based exponent calculation for neural networks. International Journal of Electronics. 99(11). 1471–1488. 2 indexed citations
18.
Aggarwal, Supriya & Kavita Khare. (2012). Redesigned-Scale-Free CORDIC Algorithm Based FPGA Implementation of Window Functions to Minimize Area and Latency. SHILAP Revista de lepidopterología. 2012. 1–8. 1 indexed citations
19.
Aggarwal, Supriya & Kavita Khare. (2012). Leading One Detection Hyperbolic CORDIC with Enhanced Range of Convergence. Journal of Signal Processing Systems. 70(1). 49–57. 2 indexed citations
20.
Aggarwal, Supriya, Pramod Kumar Meher, & Kavita Khare. (2011). Area-Time Efficient Scaling-Free CORDIC Using Generalized Micro-Rotation Selection. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 20(8). 1542–1546. 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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