Sourav De

988 total citations
59 papers, 491 citations indexed

About

Sourav De is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sourav De has authored 59 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sourav De's work include Ferroelectric and Negative Capacitance Devices (56 papers), Semiconductor materials and devices (49 papers) and Advanced Memory and Neural Computing (39 papers). Sourav De is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (56 papers), Semiconductor materials and devices (49 papers) and Advanced Memory and Neural Computing (39 papers). Sourav De collaborates with scholars based in Germany, Taiwan and India. Sourav De's co-authors include Thomas Kämpfe, Darsen D. Lu, Maximilian Lederer, Yao‐Jen Lee, Yannick Raffel, Konrad Seidel, Franz Müller, Tarek Ali, Po-Jung Sung and Sven Beyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Sourav De

54 papers receiving 490 citations

Peers

Sourav De

EEE

CMN

Kaiyuan Wang Hong Kong

Tatsuya Onuki Japan

Gicheol Shin South Korea

Matthew San Jose United States

Geun Hyeong Park South Korea

Abhisek Chakraborty Italy

Yusaku Tagawa Japan

Nellie Laleni Germany

Dong Ik Suh South Korea

Chengji Jin China

Kaiyuan Wang Hong Kong

Sourav De

241 ×0.5

EEE

100 ×1.1

70 ×3.3

15 ×1.3

CMN

12 ×1.0

Citations per year, relative to Sourav De Sourav De (= 1×) peers Kaiyuan Wang

Countries citing papers authored by Sourav De

Since Specialization

Citations

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

Fields of papers citing papers by Sourav De

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav De

This figure shows the co-authorship network connecting the top 25 collaborators of Sourav De. A scholar is included among the top collaborators of Sourav De 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 Sourav De. Sourav De 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

Iung, Thierry, Mengmeng Lao, Sourav De, et al.. (2025). Oxygen vacancy distribution and phase composition in scaled, Hf0.5Zr0.5O2-based ferroelectric capacitors. Applied Physics Letters. 126(6). 3 indexed citations

Kumar, Gautham, et al.. (2025). Trapping Dynamics and Endurance in HfO ₂ -FeFETs: An Insight From Charge Pumping. IEEE Electron Device Letters. 46(11). 2014–2017.

Kumar, Gautham, Deepak Bhatnagar, Yannick Raffel, et al.. (2025). Spike-Timing Dependent Learning Dynamics in Silicon-Doped Hafnium-Oxide-Based Ferroelectric Field Effect Transistors. IEEE Journal of the Electron Devices Society. 13. 762–768. 1 indexed citations

Pande, Sandeep Dwarkanath, Yannick Raffel, Maximilian Lederer, et al.. (2024). FeFET based LIF Neuron with Learnable Threshold and Time Constant. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–2. 1 indexed citations

Lederer, Maximilian, Yannick Raffel, Luca Pirro, et al.. (2024). Spike-Time Dependent Plasticity in HfO₂-Based Ferroelectric FET Synapses. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–3. 1 indexed citations

Yin, Xunzhao, Franz Müller, Shan Deng, et al.. (2024). A Homogeneous FeFET-Based Time-Domain Compute-in-Memory Fabric for Matrix-Vector Multiplication and Associative Search. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(5). 1856–1868. 5 indexed citations

Lederer, Maximilian, Yannick Raffel, Franz Müller, et al.. (2024). Ferroelectric Field Effect Transistors–Based Content‐Addressable Storage‐Class Memory: A Study on the Impact of Device Variation and High‐Temperature Compatibility. SHILAP Revista de lepidopterología. 6(4). 5 indexed citations

Deng, Shan, Juejian Wu, Zijian Zhao, et al.. (2023). A 2-Transistor-2-Capacitor Ferroelectric Edge Compute-in-Memory Scheme With Disturb-Free Inference and High Endurance. IEEE Electron Device Letters. 44(7). 1088–1091. 10 indexed citations

Müller, Franz, Yannick Raffel, Maximilian Lederer, et al.. (2023). Fixed charges at the HfO 2 /SiO2 interface: Impact on the memory window of FeFET. SHILAP Revista de lepidopterología. 4. 100050–100050. 2 indexed citations

10.

Raffel, Yannick, Ricardo Olivo, Maik Simon, et al.. (2023). Importance of temperature dependence of interface traps in high-k metal gate stacks for silicon spin-qubit development. Applied Physics Letters. 123(3). 5 indexed citations

11.

Parmar, Vivek, Franz Müller, Sandeep Kaur Kingra, et al.. (2023). Demonstration of Differential Mode Ferroelectric Field‐Effect Transistor Array‐Based in‐Memory Computing Macro for Realizing Multiprecision Mixed‐Signal Artificial Intelligence Accelerator. SHILAP Revista de lepidopterología. 5(6). 12 indexed citations

12.

Lehninger, David, Shawn Sanctis, Yannick Raffel, et al.. (2023). Ferroelectric Content-Addressable Memory Cells with IGZO Channel: Impact of Retention Degradation on the Multibit Operation. ACS Applied Electronic Materials. 5(2). 812–820. 15 indexed citations

13.

Tsai, Cheng‐Hsien, Yu‐Ming Chang, Po-Jung Sung, et al.. (2022). 3-D Monolithic Stacking of Complementary-FET on CMOS for Next Generation Compute-In-Memory SRAM. IEEE Journal of the Electron Devices Society. 11. 107–113. 3 indexed citations

14.

De, Sourav, et al.. (2022). Bending Resistant Multibit Memristor for Flexible Precision Inference Engine Application. IEEE Transactions on Electron Devices. 69(8). 4737–4743. 12 indexed citations

15.

Raffel, Yannick, Maximilian Drescher, Ricardo Olivo, et al.. (2022). Three Level Charge Pumping On Dielectric Hafnium Oxide Gate. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4. 2 indexed citations

16.

Raffel, Yannick, Sourav De, Maximilian Lederer, et al.. (2022). Synergistic Approach of Interfacial Layer Engineering and READ-Voltage Optimization in HfO₂-Based FeFETs for In-Memory-Computing Applications. ACS Applied Electronic Materials. 4(11). 5292–5300. 23 indexed citations

17.

De, Sourav, et al.. (2021). Robust Binary Neural Network Operation From 233 K to 398 K via Gate Stack and Bias Optimization of Ferroelectric FinFET Synapses. IEEE Electron Device Letters. 42(8). 1144–1147. 23 indexed citations

18.

De, Sourav, Darsen D. Lu, Yao‐Jen Lee, et al.. (2021). Ultra-Low Power Robust 3bit/cell Hf 0.5 Zr 0.5 O 2 Ferroelectric FinFET with High Endurance for Advanced Computing-In-Memory Technology. Symposium on VLSI Technology. 1–2. 21 indexed citations

19.

Lu, Darsen D., et al.. (2020). Computationally efficient compact model for ferroelectric field-effect transistors to simulate the online training of neural networks. Semiconductor Science and Technology. 35(9). 95007–95007. 14 indexed citations

20.

De, Sourav, et al.. (2020). Compact model for PZT ferroelectric capacitors with voltage dependent switching behavior. Semiconductor Science and Technology. 35(5). 55033–55033. 2 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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