S. K. Manhas

1.5k total citations
115 papers, 1.1k citations indexed

About

S. K. Manhas is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, S. K. Manhas has authored 115 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Electrical and Electronic Engineering, 35 papers in Biomedical Engineering and 25 papers in Materials Chemistry. Recurrent topics in S. K. Manhas's work include Semiconductor materials and devices (55 papers), Advancements in Semiconductor Devices and Circuit Design (46 papers) and Low-power high-performance VLSI design (21 papers). S. K. Manhas is often cited by papers focused on Semiconductor materials and devices (55 papers), Advancements in Semiconductor Devices and Circuit Design (46 papers) and Low-power high-performance VLSI design (21 papers). S. K. Manhas collaborates with scholars based in India, United States and Singapore. S. K. Manhas's co-authors include Brajesh Kumar Kaushik, Manoj Kumar Majumder, Satish Maheshwaram, Navab Singh, Arvind Kumar, Anand Bulusu, Gaurav Kaushal, Sudeb Dasgupta, Mahendra Pakala and M. M. Joglekar and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Sensors and Actuators B Chemical.

In The Last Decade

S. K. Manhas

104 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. K. Manhas India 20 857 360 260 50 49 115 1.1k
Jun-Young Park South Korea 20 887 1.0× 203 0.6× 172 0.7× 41 0.8× 31 0.6× 106 1.1k
Ashok Srivastava United States 17 699 0.8× 266 0.7× 415 1.6× 108 2.2× 32 0.7× 152 962
Christophe Lallement France 20 1.2k 1.4× 363 1.0× 85 0.3× 42 0.8× 33 0.7× 84 1.4k
Yung‐Chun Wu Taiwan 23 1.4k 1.7× 356 1.0× 256 1.0× 65 1.3× 37 0.8× 149 1.6k
Ulrich Hilleringmann Germany 19 833 1.0× 263 0.7× 339 1.3× 107 2.1× 30 0.6× 130 1.1k
Yongliang Zhou China 13 459 0.5× 226 0.6× 91 0.3× 120 2.4× 36 0.7× 71 756
Hung‐Yu Chen Taiwan 12 445 0.5× 182 0.5× 249 1.0× 35 0.7× 41 0.8× 58 755
ARVIND ARVIND United States 5 428 0.5× 170 0.5× 339 1.3× 72 1.4× 25 0.5× 9 784
Meng‐Hsueh Chiang Taiwan 18 1.4k 1.6× 158 0.4× 411 1.6× 77 1.5× 66 1.3× 95 1.6k
Aminul Islam India 23 1.7k 2.0× 272 0.8× 79 0.3× 74 1.5× 60 1.2× 180 1.9k

Countries citing papers authored by S. K. Manhas

Since Specialization
Citations

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

Fields of papers citing papers by S. K. Manhas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. K. Manhas. 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 S. K. Manhas. The network helps show where S. K. Manhas may publish in the future.

Co-authorship network of co-authors of S. K. Manhas

This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Manhas. A scholar is included among the top collaborators of S. K. Manhas 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 S. K. Manhas. S. K. Manhas 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.
Manhas, S. K., et al.. (2025). Nano-ionic Solid Electrolyte FET-Based Reservoir Computing for Efficient Temporal Data Classification and Forecasting. ACS Applied Materials & Interfaces. 17(11). 17590–17598. 1 indexed citations
2.
Manhas, S. K., et al.. (2025). Transfer learning-based parameter optimization for improved 3D NAND performance. Journal of Computational Electronics. 24(2).
3.
Manhas, S. K., et al.. (2025). Design, Simulation, and Modeling of a Highly Sensitive Multicapacitor Piezoelectric MEMS Accelerometer. IEEE Sensors Journal. 25(18). 35418–35425.
4.
Manhas, S. K., et al.. (2024). Neural ordinary differential equations for predicting the temporal dynamics of a ZnO solid electrolyte FET. Journal of Materials Chemistry C. 13(6). 2804–2813. 2 indexed citations
5.
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Manhas, S. K., et al.. (2023). Design and analysis of gate all around stacked nanosheet-DRAM for future technology node. Japanese Journal of Applied Physics. 63(2). 02SP64–02SP64. 3 indexed citations
8.
Pradhan, Rangadhar, et al.. (2021). Four electrode-based impedimetric biosensors for evaluating cytotoxicity of tamoxifen on cervical cancer cells. RSC Advances. 11(2). 798–806. 25 indexed citations
9.
Manhas, S. K., et al.. (2021). Scaling behavior of ferroelectric FET with reduction in number of domains in ferroelectric layer. Japanese Journal of Applied Physics. 61(SC). SC1030–SC1030. 3 indexed citations
10.
Pradhan, Rangadhar, et al.. (2021). Optimization, fabrication, and characterization of four electrode-based sensors for blood impedance measurement. Biomedical Microdevices. 23(1). 9–9. 19 indexed citations
11.
Joglekar, M. M., et al.. (2020). Fabrication and modeling of β-phase PVDF-TrFE based flexible piezoelectric energy harvester. Sensors and Actuators A Physical. 304. 111879–111879. 32 indexed citations
12.
Prakash, Om, et al.. (2019). Impact of Time Zero Variability and BTI Reliability on SiNW FET-Based Circuits. IEEE Transactions on Device and Materials Reliability. 19(4). 741–750. 3 indexed citations
13.
Joglekar, M. M., et al.. (2018). Influence of Process Parameters and Formation of Highly c-Axis Oriented AlN Thin Films on Mo by Reactive Sputtering. Journal of Electronic Materials. 47(12). 7520–7530. 27 indexed citations
14.
Gupta, Pallavi, Murali Kumarasamy, Ritu Varshney, et al.. (2018). Differential neural cell adhesion and neurite outgrowth on carbon nanotube and graphene reinforced polymeric scaffolds. Materials Science and Engineering C. 97. 539–551. 55 indexed citations
15.
Kumar, Piyush, et al.. (2016). A simple method for detection of anionic detergents in milk using unmodified gold nanoparticles. Sensors and Actuators B Chemical. 233. 157–161. 23 indexed citations
16.
Joshi, Ashish, Satinder K. Sharma, S. K. Manhas, & Sudeb Dasgupta. (2015). Design and Analysis of Low Power and Area Efficient Single Capacitor DAC Based Successive Approximation ADC Using 45 Nm Fin FET. 792–796. 3 indexed citations
17.
Shankar, Ravi, Gaurav Kaushal, Satish Maheshwaram, Sudeb Dasgupta, & S. K. Manhas. (2014). A Degradation Model of Double Gate and Gate-All-Around MOSFETs With Interface Trapped Charges Including Effects of Channel Mobile Charge Carriers. IEEE Transactions on Device and Materials Reliability. 14(2). 689–697. 23 indexed citations
18.
Majumder, Manoj Kumar, Brajesh Kumar Kaushik, & S. K. Manhas. (2013). Novel Spatially Arranged Mixed Carbon Nanotube Bundle Interconnects - Impact on Delay and Power. Scientia Iranica. 20(6). 2341–2347.
19.
Kaushal, Gaurav, S. S. Rathod, Satish Maheshwaram, et al.. (2012). Radiation Effects in Si-NW GAA FET and CMOS Inverter: A TCAD Simulation Study. IEEE Transactions on Electron Devices. 59(5). 1563–1566. 33 indexed citations
20.
Majumder, Manoj Kumar, Brajesh Kumar Kaushik, K. Narasimha Reddy, & S. K. Manhas. (2012). Comparison of propagation delay in single- and multi-layer graphene nanoribbon interconnects. 1–4. 4 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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