Udayan Ganguly

2.6k total citations
191 papers, 1.9k citations indexed

About

Udayan Ganguly is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Udayan Ganguly has authored 191 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Electrical and Electronic Engineering, 31 papers in Materials Chemistry and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Udayan Ganguly's work include Advanced Memory and Neural Computing (116 papers), Semiconductor materials and devices (91 papers) and Ferroelectric and Negative Capacitance Devices (81 papers). Udayan Ganguly is often cited by papers focused on Advanced Memory and Neural Computing (116 papers), Semiconductor materials and devices (91 papers) and Ferroelectric and Negative Capacitance Devices (81 papers). Udayan Ganguly collaborates with scholars based in India, United States and Germany. Udayan Ganguly's co-authors include Pankaj Kumbhare, Sandip Lashkare, Edwin C. Kan, Aditya Shukla, Saurabh Lodha, Tuo‐Hung Hou, Nihar R. Mohapatra, Bipin Rajendran, S. Mittal and Vinay Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Udayan Ganguly

168 papers receiving 1.8k citations

Peers

Countries citing papers authored by Udayan Ganguly

Since Specialization

Citations

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

Fields of papers citing papers by Udayan Ganguly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udayan Ganguly

This figure shows the co-authorship network connecting the top 25 collaborators of Udayan Ganguly. A scholar is included among the top collaborators of Udayan Ganguly 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 Udayan Ganguly. Udayan Ganguly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Structural and electrical characterization of phase evolution in epitaxial Gd2O3 due to anneal temperature for silicon on insulator application 2024 ·Thin Solid Films ·(unknown), (unknown), (unknown), Sandeep Kumar, Anand Sharma, (unknown), Rakesh G. Mote, Sandip Lashkare, Apurba Laha, Veeresh Deshpande, Udayan Ganguly	0
2	Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for the TCAM, Storage, and In-Memory Computing Applications 2024 ·IEEE Transactions on Electron Devices ·(unknown), (unknown), Sandip Lashkare, (unknown), Halid Mulaosmanovic, Veeresh Deshpande, Stefan Dünkel, Sven Beyer, Udayan Ganguly	1
3	Indigenous back-end-of-line compatible SiO₂-based One-Time Programmable Memory for Secured Spiking Neural Network Inference Accelerator 2024 ·(unknown), (unknown), (unknown), (unknown), Veeresh Deshpande, Udayan Ganguly	1
4	FeFET-Based MirrorBit Cell for High-Density NVM Storage 2024 ·IEEE Transactions on Electron Devices ·(unknown), (unknown), (unknown), Sandip Lashkare, Halid Mulaosmanovic, (unknown), Stefan Dünkel, Sven Beyer, Udayan Ganguly	3
5	A Compact Low Power Multi-mode Spiking Neuron using Band to Band Tunneling 2024 ·(unknown), (unknown), (unknown), Maryam Shojaei Baghini, Udayan Ganguly	2
6	Engineering wafer scale single-crystalline Si growth on epitaxial Gd2O3/Si(111) substrate using radio frequency sputtering for silicon on insulator application 2024 ·Thin Solid Films ·(unknown), (unknown), (unknown), Sandip Lashkare, Apurba Laha, Veeresh Deshpande, Udayan Ganguly	0
7	Reliability of Tunneling Regime for Silicon on Insulator-Based Neuron 2024 ·IEEE Transactions on Electron Devices ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Nihar R. Mohapatra, Sandip Lashkare, Veeresh Deshpande, Udayan Ganguly	1
8	Design Space and Variability Analysis of SOI MOSFET for Ultralow-Power Band-to-Band Tunneling Neurons 2024 ·IEEE Transactions on Electron Devices ·(unknown), (unknown), (unknown), (unknown), Sandip Lashkare, Veeresh Deshpande, Udayan Ganguly	1
9	One-Time Programmable Memory for Ultra-Low Power ANN Inference Accelerator With Security Against Thermal Fault Injection 2024 ·IEEE Journal of the Electron Devices Society ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Veeresh Deshpande, Udayan Ganguly	0
10	Highly oriented crystalline si on epitaxial Gd2O3/Si(111) substrate using low-cost Radio Frequency sputtering for Silicon on Insulator application 2024 ·Thin Solid Films ·(unknown), Sandeep Kumar, (unknown), (unknown), (unknown), Anand Sharma, Sandip Lashkare, Rakesh G. Mote, Apurba Laha, Veeresh Deshpande, Udayan Ganguly	1
11	Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing 2023 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Sandip Lashkare, Udayan Ganguly	0
12	Process-Voltage-Temperature Variability Estimation of Tunneling Current for Band-to-Band-Tunneling-Based Neuron 2023 ·IEEE Transactions on Electron Devices ·(unknown), Anand Sharma, (unknown), (unknown), (unknown), Sandip Lashkare, Nihar R. Mohapatra, Udayan Ganguly	4
13	Phase evolution in epitaxial Gd2O3 due to anneal temperature for silicon on insulator application 2023 ·Thin Solid Films ·(unknown), Sandeep Kumar, (unknown), (unknown), Rakesh G. Mote, Apurba Laha, Udayan Ganguly	4
14	Evolution of Ferroelectricity With Annealing Temperature and Thickness in Sputter Deposited Undoped HfO₂ on Silicon 2023 ·IEEE Transactions on Electron Devices ·(unknown), (unknown), (unknown), (unknown), (unknown), Sandip Lashkare, Veeresh Deshpande, Udayan Ganguly	1
15	Interlayer-Engineered Local Epitaxial Templating Induced Enhancement in Polarization (2P_r > 70 μC/cm²) in Hf_0.5Zr_0.5O₂ Thin Films 2023 ·IEEE Transactions on Electron Devices ·(unknown), (unknown), (unknown), (unknown), Sandip Lashkare, Udayan Ganguly	10
16	Integration of Non-Filamentary Pr_0.7Ca_0.3MnO₃– Based Memristor With Silicon-PN Junction 2023 ·IEEE Electron Device Letters ·(unknown), (unknown), (unknown), Sandip Lashkare, Udayan Ganguly	1
17	Investigation of Dielectric and Quantum Confinement Based Dopant Deactivation in the Extension Region of FinFET 2022 ·IEEE Electron Device Letters ·(unknown), (unknown), (unknown), T. Chiarella, Bertrand Parvais, Udayan Ganguly	1
18	An Accurate Process-Induced Variability-Aware Compact Model-Based Circuit Performance Estimation for Design-Technology Co-Optimization 2021 ·IEEE Transactions on Electron Devices ·(unknown), (unknown), Udayan Ganguly	3
19	Self-Assembled Sn Nanocrystals as the Floating Gate of Nonvolatile Flash Memory 2019 ·ACS Applied Electronic Materials ·J.S. Rathore, (unknown), Shalini Srivastava, (unknown), (unknown), Udayan Ganguly, Apurba Laha, Suddhasatta Mahapatra	10
20	A Real-time Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses. 2017 ·arXiv (Cornell University) ·Aditya Shukla, Udayan Ganguly	1

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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