Rajeev Kumar Ranjan

2.3k total citations
91 papers, 1.1k citations indexed

About

Rajeev Kumar Ranjan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Rajeev Kumar Ranjan has authored 91 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Electrical and Electronic Engineering, 29 papers in Cellular and Molecular Neuroscience and 28 papers in Biomedical Engineering. Recurrent topics in Rajeev Kumar Ranjan's work include Advanced Memory and Neural Computing (38 papers), Neuroscience and Neural Engineering (29 papers) and Analog and Mixed-Signal Circuit Design (26 papers). Rajeev Kumar Ranjan is often cited by papers focused on Advanced Memory and Neural Computing (38 papers), Neuroscience and Neural Engineering (29 papers) and Analog and Mixed-Signal Circuit Design (26 papers). Rajeev Kumar Ranjan collaborates with scholars based in India, United States and Czechia. Rajeev Kumar Ranjan's co-authors include Fabian Khateb, Niranjan Raj, Montree Kumngern, Sajal K. Paul, Robert K. Brayton, Alberto Sangiovanni‐Vincentelli, Tomasz Kulej, Vijay Kumar Verma, Bhargav Appasani and Rohit Sharma and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Industry Applications.

In The Last Decade

Rajeev Kumar Ranjan

83 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
Rajeev Kumar Ranjan India 18 917 459 202 118 117 91 1.1k
Greg Snider United States 14 989 1.1× 326 0.7× 115 0.6× 178 1.5× 103 0.9× 26 1.2k
Kyoung-Rok Cho South Korea 16 842 0.9× 365 0.8× 103 0.5× 83 0.7× 33 0.3× 102 1.1k
Bai‐Sun Kong South Korea 17 1.3k 1.4× 196 0.4× 331 1.6× 219 1.9× 62 0.5× 93 1.4k
Abdullah Yeşil Türkiye 19 1.4k 1.5× 583 1.3× 616 3.0× 96 0.8× 19 0.2× 69 1.5k
René Schüffny Germany 18 927 1.0× 322 0.7× 177 0.9× 118 1.0× 22 0.2× 93 1.0k
Jordi Madrenas Spain 16 553 0.6× 77 0.2× 243 1.2× 155 1.3× 25 0.2× 99 778
Arindam Sanyal United States 18 958 1.0× 123 0.3× 778 3.9× 125 1.1× 41 0.4× 94 1.2k
T. Nandha Kumar Malaysia 15 602 0.7× 116 0.3× 101 0.5× 57 0.5× 50 0.4× 93 757
Mottaqiallah Taouil Netherlands 21 1.4k 1.5× 335 0.7× 55 0.3× 153 1.3× 30 0.3× 157 1.6k
Fırat Kaçar Türkiye 24 2.1k 2.3× 699 1.5× 1.2k 5.9× 132 1.1× 25 0.2× 146 2.4k

Countries citing papers authored by Rajeev Kumar Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Kumar Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajeev Kumar Ranjan. 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 Rajeev Kumar Ranjan. The network helps show where Rajeev Kumar Ranjan may publish in the future.

Co-authorship network of co-authors of Rajeev Kumar Ranjan

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Kumar Ranjan. A scholar is included among the top collaborators of Rajeev Kumar Ranjan 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 Rajeev Kumar Ranjan. Rajeev Kumar Ranjan 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.
Ranjan, Rajeev Kumar, et al.. (2025). Memristor-Emulator-Based Crossbar Array for Object Detection and Recognition. IEEE Transactions on Circuits and Systems I Regular Papers. 72(8). 4115–4126.
2.
3.
Sharma, Pankaj Kumar, et al.. (2024). A novel and compact MOSFET-C only based grounded meminductor emulator and its application. AEU - International Journal of Electronics and Communications. 183. 155378–155378. 3 indexed citations
4.
Raj, Niranjan & Rajeev Kumar Ranjan. (2024). Emulation of novel floating and tunable Multimem-Elements circuit and its application. AEU - International Journal of Electronics and Communications. 177. 155215–155215. 6 indexed citations
5.
Ranjan, Rahul, et al.. (2024). Experimental validation of a high-frequency memristor emulator based on CCCCTA framework and its application in chaos circuit. AEU - International Journal of Electronics and Communications. 190. 155624–155624. 4 indexed citations
6.
Ranjan, Rajeev Kumar, et al.. (2024). Sonographic and Doppler Evaluation of Carotid Artery in Hypertensive and Normotensive Individuals. Journal of Pharmacy And Bioallied Sciences. 16(Suppl 4). S3673–S3675.
8.
Ranjan, Rajeev Kumar, et al.. (2023). Electronically Tunable Memristor Emulator Implemented Using a Single Active Element and Its Application in Adaptive Learning. Sensors. 23(3). 1620–1620. 11 indexed citations
9.
Jaikla, Winai, Fabian Khateb, Montree Kumngern, et al.. (2020). 0.5 V Fully Differential Universal Filter Based on Multiple Input OTAs. IEEE Access. 8. 187832–187839. 27 indexed citations
10.
Verma, Vijay Kumar, et al.. (2019). A second generation current conveyor based PID controller optimized using a crossover improved genetic algorithm. Microsystem Technologies. 26(5). 1449–1454. 3 indexed citations
11.
Ranjan, Rajeev Kumar, et al.. (2019). PI, PD and PID Controllers Using Single DVCCTA. Iranian Journal of Science and Technology Transactions of Electrical Engineering. 43(3). 673–685. 6 indexed citations
12.
Pandey, Archana, et al.. (2018). A modified method of logical effort for FinFET circuits considering impact of fin-extension effects. 189–195. 1 indexed citations
13.
Sinha, Kanchan, et al.. (2018). Development of Hybrid Time Series Model using Machine Learning Techniques for Forecasting Crop Yield with Covariates. 1 indexed citations
14.
Appasani, Bhargav, et al.. (2017). PSO based CCII PID controller for a continuous stirred tank reactor system. 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). 20. 2786–2789. 3 indexed citations
15.
Ranjan, Rajeev Kumar, et al.. (2017). Integrated Circuit with Memristor Emulator Array and Neuron Circuits for Biologically Inspired Neuromorphic Pattern Recognition. Journal of Circuits Systems and Computers. 26(11). 1750183–1750183. 10 indexed citations
16.
Ranjan, Rajeev Kumar, et al.. (2016). Integrated circuit with memristor emulator array and neuron circuits for neuromorphic pattern recognition. 10. 265–268. 3 indexed citations
17.
Ranjan, Rajeev Kumar, Min-Woo Kwon, Jungjin Park, Hyungjin Kim, & Byung‐Gook Park. (2015). Neuron Circuit Using a Thyristor and Inter-neuron Connection with Synaptic Devices. JSTS Journal of Semiconductor Technology and Science. 15(3). 365–373. 2 indexed citations
18.
Ranjan, Rajeev Kumar, et al.. (1997). Dynamic reordering in a breadth-first manipulation based BDD package: challenges and solutions. 344–351. 3 indexed citations
19.
Ranjan, Rajeev Kumar, M.A. Pai, & Peter W. Sauer. (1993). Analytical formulation of small signal stability analysis of power systems with nonlinear load models. Sadhana. 18(5). 869–889. 8 indexed citations
20.
Ranjan, Rajeev Kumar & M R Barrault. (1980). Axial electric-field measurements of d.c. arcs in current-limiting fuses. IEE Proceedings Generation, Transmission and Distribution [see also IEE Proceedings-Generation, Transmission and Distribution]. 127(3). 199–202. 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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