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R

Rajeev Kumar Ranjan

Indian Institute of Technology (Indian School of Mines) Dhanbad

22H指数
150论文数
2.3K被引数
收录论文 30
发表时间
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A comprehensive review of memcapacitor devices and emulator architectures for nonlinear, chaotic, and advanced electronic applications非线性、混沌及先进电子应用中忆容器件与仿真架构的全面综述
errNonlinear Dynamics
IF6
err2026-09-11
err0
PREAI
errBasit Shafat Makhdoomi; Vedant Upadhyay; Rajeev Kumar Ranjan; Manodipan Sahoo
err分享
err收藏
Design of a 65-nm CMOS Neuromorphic Circuit for Sequential Alphanumeric Pattern Detection With Experimental Verification设计一种用于顺序字母数字模式检测的65纳米CMOS神经形态电路及实验验证
errIEEE Transactions on Very Large Scale Integration (VLSI) Systems
IF3.1
err2026-03-23
err0
PREAI
errVedant Upadhyay; Nitin Singhal; Basit Shafat Makhdoomi; Varun Saxena; Rajeev Kumar Ranjan; Sung-Mo Kang
err分享
err收藏
A compact memristor emulator for energy efficient neuron application一种紧凑型忆阻器模拟器，用于节能神经元应用
errAEU - International Journal of Electronics and Communications
IF0
err2026-02-16
err0
PREAI
errArun Kalakola; Basit Shafat Makhdoomi; Rahul Ranjan; Rajeev Kumar Ranjan; Shahram Minaei
err分享
err收藏
A Passive Symmetrical Memristor Emulator Circuit with Applications in Square Wave Generator, Chaotic Oscillator, and Digital Logic Gates一种应用于方波发生器、混沌振荡器和数字逻辑门的被动对称忆阻器仿真电路
errCircuits Systems and Signal Processing
IF2
err2026-02-01
err0
PREAI
errUpadhyay, Vedant; Kumar, Kaustubh Kalp; Gupta, Rahul Kumar; Saxena, Varun; Ranjan, Rajeev Kumar
err分享
err收藏
Morphological tuning of VO2 nanowires to develop VO2/CuWO4 nanocomposite for improved supercapacitance as a binder free electrode通过调节VO2纳米线的形貌，制备VO2/CuWO4纳米复合材料，以开发出具有更高超级电容性能的无粘结剂电极。
errInorganic Chemistry Communications
IF5.4
err2025-10-14
err0
PREAI
errNiraj Kumar; Rajeev Kumar Ranjan
err分享
err收藏
Performance of tri-metallic Zn-ion battery cathode using hybrid morphology of VO2/CuWO4 nanocomposite采用VO2/CuWO4纳米复合材料的混合形貌三金属Zn离子电池正极的性能
errCrystEngComm
IF2.6
err2025-10-02
err0
PREAI
errNiraj Kumar; Sanjay Sankaranarayanan; Kandasamy Muthusamy; Ahmad Husain; Rajeev Kumar Ranjan
err分享
err收藏
Memristor-Emulator-Based Crossbar Array for Object Detection and Recognition基于忆阻器模拟器的交叉阵列用于目标检测与识别
errieee transactions on circuits and systems i regular papers
IF0
err2025-08-01
err0
PREAI
errJagveer Singh Verma; Prashant Kumar; Basit Shafat Makhdoomi; Rajeev Kumar Ranjan; Sung-Mo Kang
err分享
err收藏
Experimental validation of a high-frequency memristor emulator based on CCCCTA framework and its application in chaos circuit
errAEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
IF3.2
err2025-02-01
err0
PREAI
errKumar, Prashant; Makhdoomi, Basit Shafat; Verma, Jagveer Singh; Sonwani, Shweta; Ranjan, Rahul; Ranjan, Rajeev Kumar
err分享
err收藏
Memristor-Emulating-Integrate-and-Fire Neuron-Based Fully Neuromorphic Framework for Pattern Recognition用于模式识别的基于忆阻器仿真集成和激发神经元的完全神经形态框架
errIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
IF4.9
err2024-12-01
err0
PREAI
errKumar, Prashant; Ranjan, Rajeev Kumar; Kang, Sung-Mo
err分享
err收藏
A novel and compact MOSFET-C only based grounded meminductor emulator and its application
errAEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
IF3.2
err2024-08-01
err1
PREAI
errKumar, Pankaj; Bhat, Aasif Mohammad; Sharma, Pankaj Kumar; Ranjan, Rajeev Kumar
err分享
err收藏
Emulation of novel floating and tunable Multimem-Elements circuit and its application
errAEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
IF3.2
err2024-04-01
err2
PREAI
errRaj, Niranjan; Ranjan, Rajeev Kumar
err分享
err收藏
A Memristor Emulation in 180-nm CMOS Process for Spiking Signal Generation and Chaos Application180纳米CMOS工艺中的忆阻器仿真，用于尖峰信号的产生和混沌应用
errIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
IF5.2
err2024-04-01
err7
PREAI
errKumar, Prashant; Ranjan, Rajeev Kumar; Kang, Sung-Mo
err分享
err收藏
New DTMOS Based High Frequency Memristor Emulator and Its Nonlinear Applications基于DTMOS的新型高频忆阻器仿真器及其非线性应用
errIEEE ACCESS
IF3.6
err2024-01-01
err3
errOAAI
errSrivastava, Pushkar; Sharma, R. K.; Gupta, R. K.; Kacar, Firat; Ranjan, Rajeev Kumar
err分享
err收藏
Power-Efficient Electronically Tunable Fractional-Order Filter高能效电子可调分数阶滤波器
errFRACTAL AND FRACTIONAL
IF3.3
err2023-12-30
err1
errOAAI
errTasneem, Sadaf; Ranjan, Rajeev Kumar; Paul, Sajal K.; Herencsar, Norbert
err分享
err收藏
Electronically Tunable Memristor Emulator Implemented Using a Single Active Element and Its Application in Adaptive Learning使用单个有源元件实现的电子可调谐忆阻器仿真器及其在自适应学习中的应用
errSENSORS
IF3.5
err2023-02-02
err8
errOAAI
errTasneem, Sadaf; Sharma, Pankaj Kumar; Ranjan, Rajeev Kumar; Khateb, Fabian
err分享
err收藏
Resistive tunable memristor emulator model and its application
errAEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
IF3.2
err2023-02-01
err15
PREAI
errSharma, Pankaj Kumar; Prasad, Sagar Surendra; Tasneem, Sadaf; Priyadarshini, Bindu; Ranjan, Rajeev Kumar
err分享
err收藏
0.5 V Multiple-Input Multiple-Output Differential Difference Transconductance Amplifier and Its Applications to Shadow Filter and Oscillator
errIEEE ACCESS
IF3.6
err2023-01-01
err8
errOAAI
errKhateb, Fabian; Kumngern, Montree; Kulej, Tomasz; Ranjan, Rajeev Kumar
err分享
err收藏
New Zero Power Memristor Emulator Model and Its Application in Memristive Neural Computation新型零功率忆阻器仿真模型及其在忆阻神经计算中的应用
errIEEE ACCESS
IF3.6
err2023-01-01
err9
errOAAI
errKumar, Prashant; Srivastava, Pushkar; Ranjan, Rajeev Kumar; Kumngern, Montree
err分享
err收藏
A compact floating and grounded memristor model using single active element
errAEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
IF3.2
err2022-12-01
err11
PREAI
errPrasad, Sagar Surendra; Kumar, Prashant; Raj, Niranjan; Sharma, Pankaj Kumar; Priyadarshini, Bindu; Ranjan, Rajeev Kumar; Prommee, Pipat
err分享
err收藏
Nanopower multiple-input DTMOS OTA and its applications to high-order filters for biomedical systems
errAEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
IF3.2
err2021-02-01
err23
PREAI
errKumngern, Montree; Kulej, Tomasz; Khateb, Fabian; Stopjakova, Viera; Ranjan, Rajeev K.
err分享
err收藏

研究方向

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合作学者
合作期刊
S
Shahram Mınaeı
H 指数: 41 · 论文数: 256
F
Fabian Khateb
H 指数: 36 · 论文数: 194
N
Norbert Herencsár
H 指数: 34 · 论文数: 307
R
Ravi Shankar
H 指数: 33 · 论文数: 235
S
Sung-Mo Kang
H 指数: 30 · 论文数: 180
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