Sahaj Saxena

2.6k total citations
93 papers, 2.0k citations indexed

About

Sahaj Saxena is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sahaj Saxena has authored 93 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Control and Systems Engineering, 24 papers in Electrical and Electronic Engineering and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sahaj Saxena's work include ECG Monitoring and Analysis (16 papers), Advanced Control Systems Design (15 papers) and Image and Signal Denoising Methods (13 papers). Sahaj Saxena is often cited by papers focused on ECG Monitoring and Analysis (16 papers), Advanced Control Systems Design (15 papers) and Image and Signal Denoising Methods (13 papers). Sahaj Saxena collaborates with scholars based in India, United States and Israel. Sahaj Saxena's co-authors include Yogesh V. Hote, Vinod Kumar, Satish T. Hamde, R. C. Chauhan, Savita Gupta, Emilia Fridman, Lakhwinder Kaur, V. K. Giri, Mandeep Sharma and Surya Prakash and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and Solar Energy.

In The Last Decade

Sahaj Saxena

86 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sahaj Saxena India 25 1.1k 901 360 283 202 93 2.0k
Manjeet Kumar India 25 402 0.4× 231 0.3× 517 1.4× 546 1.9× 275 1.4× 101 1.7k
Yonghong Tan China 28 1.4k 1.3× 266 0.3× 90 0.3× 166 0.6× 132 0.7× 175 2.1k
Claudio Turchetti Italy 23 166 0.2× 604 0.7× 146 0.4× 439 1.6× 196 1.0× 161 1.8k
José Antonio de la O Serna Mexico 22 973 0.9× 1.3k 1.5× 103 0.3× 91 0.3× 48 0.2× 49 1.7k
Reza R. Adhami United States 19 255 0.2× 420 0.5× 116 0.3× 266 0.9× 544 2.7× 103 1.5k
Mostefa Mesbah Australia 23 350 0.3× 207 0.2× 301 0.8× 250 0.9× 147 0.7× 132 1.5k
Suman Kumar Saha India 21 503 0.5× 178 0.2× 158 0.4× 220 0.8× 73 0.4× 83 1.1k
Binqiang Chen China 15 706 0.7× 167 0.2× 406 1.1× 218 0.8× 90 0.4× 30 1.6k
Susmita Das India 17 169 0.2× 529 0.6× 208 0.6× 182 0.6× 70 0.3× 139 1.1k
Claudio Narduzzi Italy 18 310 0.3× 777 0.9× 86 0.2× 330 1.2× 98 0.5× 113 1.4k

Countries citing papers authored by Sahaj Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Sahaj Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahaj Saxena

This figure shows the co-authorship network connecting the top 25 collaborators of Sahaj Saxena. A scholar is included among the top collaborators of Sahaj Saxena 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 Sahaj Saxena. Sahaj Saxena 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.
Mondal, Debasmita, et al.. (2025). Prescribed finite-time backstepping control for blood glucose regulation in type 1 diabetes. Computers in Biology and Medicine. 196(Pt B). 110737–110737.
2.
Singh, Vishal, et al.. (2024). Physics-Informed Neural Network for Solving a One-Dimensional Solid Mechanics Problem. SHILAP Revista de lepidopterología. 5(4). 1532–1549. 6 indexed citations
3.
Saxena, Sahaj, et al.. (2024). Optimal Design of Quadcopter Chassis Using Generative Design and Lightweight Materials to Advance Precision Agriculture. Machines. 12(3). 187–187. 6 indexed citations
4.
5.
Saxena, Sahaj, et al.. (2023). Parameter Estimation in a System of Integro-Differential Equations With Time-Delay. IEEE Transactions on Circuits & Systems II Express Briefs. 70(11). 4158–4160. 1 indexed citations
6.
Mehta, Utkal, et al.. (2023). A comprehensive review of modified Internal Model Control (IMC) structures and their filters for unstable processes. Annual Reviews in Control. 56. 100895–100895. 19 indexed citations
7.
Saxena, Sahaj, et al.. (2022). CyRRA: Cyberattack Resilient Robotic Arm. 2022 IEEE 19th India Council International Conference (INDICON). 1–6. 1 indexed citations
8.
Saxena, Sahaj, et al.. (2021). Fractional-order IMC controller for high-order system using reduced-order modelling via Big-Bang, Big-Crunch optimisation. International Journal of Systems Science. 53(1). 168–181. 13 indexed citations
9.
Nijhawan, Parag, et al.. (2019). A Review of Custom Power Devices for Power Quality Improvement of Distribution Network with Arc Furnace. International Journal of Advanced Trends in Computer Science and Engineering. 8(2). 224–230. 2 indexed citations
10.
Hote, Yogesh V., et al.. (2016). Reduced-order modeling of linear time invariant systems using big bang big crunch optimization and time moment matching method. Applied Mathematical Modelling. 40(15-16). 7225–7244. 70 indexed citations
11.
Saxena, Sahaj, et al.. (2015). Learning fundamentals of introductory course of automatic control through experimental kits. 50. 412–415. 1 indexed citations
12.
Singh, Mandeep, Vinod Kumar, & Sahaj Saxena. (2014). Refinement Criterion for SPIHT based ECG Signal Compression. IETE Technical Review. 2 indexed citations
13.
Saxena, Sahaj, et al.. (2012). Advances in internal model control technique: A review and future prospects. IETE Technical Review. 29(6). 461–461. 105 indexed citations
14.
Jain, Alok, Rajiv Saxena, & Sahaj Saxena. (2006). Anti-image FIR filters for large interpolation factors. Signal Processing. 86(11). 3240–3245. 2 indexed citations
15.
Kaur, Lakhwinder, R. C. Chauhan, & Sahaj Saxena. (2006). Wavelet based compression of medical ultrasound images using vector quantization. Journal of Medical Engineering & Technology. 30(3). 128–133. 5 indexed citations
16.
Kaur, Lakhwinder, R. C. Chauhan, & Sahaj Saxena. (2005). Joint thresholding and quantizer selection for compression of medical ultrasound images in the wavelet domain. Journal of Medical Engineering & Technology. 30(1). 17–24. 3 indexed citations
17.
Gupta, Savita, R. C. Chauhan, & Sahaj Saxena. (2005). Robust non-homomorphic approach for speckle reduction in medical ultrasound images. Medical & Biological Engineering & Computing. 43(2). 189–195. 32 indexed citations
18.
Saxena, Sahaj & A. K. Wadhwani. (2004). A Comparative Study of the Techniques for Decomposition of EMG Signals. IETE Journal of Research. 50(1). 87–102. 2 indexed citations
19.
Saxena, Sahaj, Vinod Kumar, & Satish T. Hamde. (2002). QRS detection using new wavelets. Journal of Medical Engineering & Technology. 26(1). 7–15. 34 indexed citations
20.
Saxena, Sahaj, et al.. (1994). Differential inductive ratio transducer with short-circuiting ring for displacement measurement. IEEE Transactions on Instrumentation and Measurement. 43(5). 777–780. 13 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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