Rajnish Sharma

2.0k total citations · 1 hit paper
112 papers, 1.6k citations indexed

About

Rajnish Sharma is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Rajnish Sharma has authored 112 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Electrical and Electronic Engineering, 30 papers in Biomedical Engineering and 30 papers in Materials Chemistry. Recurrent topics in Rajnish Sharma's work include Advancements in Semiconductor Devices and Circuit Design (30 papers), Perovskite Materials and Applications (28 papers) and Semiconductor materials and devices (22 papers). Rajnish Sharma is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (30 papers), Perovskite Materials and Applications (28 papers) and Semiconductor materials and devices (22 papers). Rajnish Sharma collaborates with scholars based in India, United States and France. Rajnish Sharma's co-authors include Jaya Madan, Rahul Pandey, Kulbhushan Sharma, Rishu Chaujar, Savita Kashyap, Anu Singla, O. S. Panwar, Rajarshi Bhattacharyya, Sushil Kumar and S.S. Jamuar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and Solar Energy.

In The Last Decade

Rajnish Sharma

105 papers receiving 1.6k citations

Hit Papers

Device simulation of 17.3... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajnish Sharma India 22 1.3k 573 370 236 179 112 1.6k
Fu-Liang Yang Taiwan 22 1.6k 1.2× 502 0.9× 387 1.0× 153 0.6× 107 0.6× 96 1.9k
Yongmin Kim South Korea 20 805 0.6× 512 0.9× 88 0.2× 253 1.1× 114 0.6× 89 1.1k
Markus Becherer Germany 25 1.4k 1.0× 473 0.8× 760 2.1× 177 0.8× 902 5.0× 156 2.2k
Asir Intisar Khan United States 20 617 0.5× 714 1.2× 150 0.4× 134 0.6× 79 0.4× 53 1.1k
Francisco G. Ruiz Spain 18 803 0.6× 214 0.4× 328 0.9× 47 0.2× 97 0.5× 98 1.0k
Norhayati Soin Malaysia 18 869 0.6× 125 0.2× 418 1.1× 83 0.4× 131 0.7× 176 1.2k
Ognian Marinov Canada 22 1.3k 0.9× 175 0.3× 387 1.0× 213 0.9× 114 0.6× 68 1.6k
J. Ajayan India 27 1.7k 1.3× 414 0.7× 515 1.4× 113 0.5× 379 2.1× 155 2.3k
Minho Kwon South Korea 20 811 0.6× 230 0.4× 315 0.9× 160 0.7× 368 2.1× 55 1.4k
A. Ortíz-Conde Venezuela 29 3.6k 2.7× 470 0.8× 536 1.4× 120 0.5× 349 1.9× 153 4.0k

Countries citing papers authored by Rajnish Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Rajnish Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajnish Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Rajnish Sharma. A scholar is included among the top collaborators of Rajnish Sharma 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 Rajnish Sharma. Rajnish Sharma 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
2.
Sharma, Rajnish, et al.. (2025). First-principles investigation of Ra doping effects on structural, electronic, and optical properties of BaTiO 3 perovskite for solar cell applications. Journal of Physics Communications. 9(1). 15002–15002. 1 indexed citations
5.
Wadsworth, B., et al.. (2023). Concept of operations for the Neptune system mission Arcanum. The Aeronautical Journal. 128(1321). 469–488.
6.
Madan, Jaya, et al.. (2022). Chemical modulation of conducting polymer gate electrode work function based double gate Mg2Si TFET for gas sensing applications. Journal of Materials Science Materials in Electronics. 33(31). 23927–23936. 14 indexed citations
7.
Sharma, Kulbhushan, et al.. (2021). Ultra-low power signal conditioning system for effective biopotential signal recording. Journal of Micromechanics and Microengineering. 31(12). 124005–124005. 24 indexed citations
8.
Madan, Jaya, et al.. (2021). Numerical simulations of a novel CH 3 NH 3 PbI 3 based double-gate dopingless tunnel FET. Semiconductor Science and Technology. 36(5). 55008–55008. 9 indexed citations
9.
Madan, Jaya, et al.. (2021). Reliability analysis of cost-efficient CH3NH3PbI3 based dopingless tunnel FET. Semiconductor Science and Technology. 37(1). 15011–15011. 4 indexed citations
11.
Kashyap, Savita, Rahul Pandey, Jaya Madan, & Rajnish Sharma. (2021). Silicide Electrode based Electrostatically Doped Back Surface Field in PERC Solar Cell. 2386–2388. 5 indexed citations
12.
Sharma, Kulbhushan, et al.. (2021). Ultra Low-Power Low-Pass Filter Design for Wearable Biomedical Applications. 629–632. 16 indexed citations
13.
Sharma, Rajnish, et al.. (2020). Semiconductor technologies for 5G implementation at millimeter wave frequencies – Design challenges and current state of work. Engineering Science and Technology an International Journal. 24(1). 205–217. 68 indexed citations
14.
Pandey, Rahul, et al.. (2020). Design and optimization of 26.3% efficient perovskite/FeSi2 monolithic tandem solar cell. Journal of Materials Science Materials in Electronics. 31(18). 15218–15224. 33 indexed citations
15.
Madan, Jaya, et al.. (2020). A novel source material engineered double gate tunnel field effect transistor for radio frequency integrated circuit applications. Semiconductor Science and Technology. 35(10). 105013–105013. 17 indexed citations
16.
Madan, Jaya, et al.. (2020). RF Analysis of Double-Gate Junctionless Tunnel FET for Wireless Communication Systems: A Non-quasi Static Approach. Journal of Electronic Materials. 50(1). 138–154. 16 indexed citations
17.
Kashyap, Savita, Rahul Pandey, Jaya Madan, & Rajnish Sharma. (2020). Design and Simulation of a‐Si:H/PbS Colloidal Quantum Dots Monolithic Tandem Solar Cell for 12% Efficiency. physica status solidi (a). 217(20). 33 indexed citations
18.
Sharma, Kulbhushan & Rajnish Sharma. (2019). Design considerations for effective neural signal sensing and amplification: a review. Biomedical Physics & Engineering Express. 5(4). 42001–42001. 28 indexed citations
19.
Pandey, Rahul, Anu Singla, Jaya Madan, Rajnish Sharma, & Rishu Chaujar. (2019). Toward the design of monolithic 23.1% efficient hysteresis and moisture free perovskite/c-Si HJ tandem solar cell: a numerical simulation study. Journal of Micromechanics and Microengineering. 29(6). 64001–64001. 48 indexed citations
20.
Sharma, Rajnish, et al.. (2019). Design of High Gain, High Reverse Isolation and High Input Matched Narrowband LNA for GPS L1 Band Applications Using 0.18µm Technology. SHILAP Revista de lepidopterología. 1 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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