Maheswari Sivan

618 total citations · 1 hit paper
16 papers, 488 citations indexed

About

Maheswari Sivan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maheswari Sivan has authored 16 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 4 papers in Biomedical Engineering and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maheswari Sivan's work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Maheswari Sivan is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Maheswari Sivan collaborates with scholars based in Singapore, France and China. Maheswari Sivan's co-authors include Evgeny Zamburg, Jin Feng Leong, Baoshan Tang, Yida Li, Hasita Veluri, Aaron Thean, A. V-Y. Thean, Xinghua Wang, Umesh Chand and Moaz Waqar and has published in prestigious journals such as Nature Communications, ACS Nano and Advanced Functional Materials.

In The Last Decade

Maheswari Sivan

14 papers receiving 479 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing

2022 170 citations Baoshan Tang, Hasita Veluri et al. Nature Communications profile →

Peers

Maheswari Sivan

EEE

CMN

Hasita Veluri Singapore

Sameer Kumar Mallik India

Sebastián Pazos Argentina

Jin Feng Leong Singapore

Geunwoo Hwang South Korea

Yaqing Shen Saudi Arabia

Meiyu He China

Ge‐Qi Mao China

Ruixuan Peng China

Hasita Veluri Singapore

Maheswari Sivan

355 ×0.8

EEE

168 ×0.8

78 ×0.8

CMN

39 ×0.7

46 ×0.9

Citations per year, relative to Maheswari Sivan Maheswari Sivan (= 1×) peers Hasita Veluri

Countries citing papers authored by Maheswari Sivan

Since Specialization

Citations

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

Fields of papers citing papers by Maheswari Sivan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maheswari Sivan

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

All Works

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16 of 16 papers shown

Lin, Hong‐Lin, Maheswari Sivan, Evgeny Zamburg, et al.. (2025). Ferroelectric-based Pockels photonic memory. Nature Communications. 16(1). 8329–8329.

Tan, Tian, Maheswari Sivan, Kai Zhou, et al.. (2025). Self‐Rectifying MoS₂ Memtransistor via Asymmetry Contact Metal Engineering for Neuromorphic Computing. Small. e2503716–e2503716. 1 indexed citations

Tang, Baoshan, Maheswari Sivan, Jin Feng Leong, et al.. (2024). Solution-processable 2D materials for monolithic 3D memory-sensing-computing platforms: opportunities and challenges. npj 2D Materials and Applications. 8(1). 12 indexed citations

Sivan, Maheswari, et al.. (2023). Quantile Online Learning for Semiconductor Failure Analysis. 521. 1–5. 1 indexed citations

Leong, Jin Feng, Maheswari Sivan, Jieming Pan, et al.. (2023). N‐P Reconfigurable Dual‐Mode Memtransistors for Compact Bio‐Inspired Feature Extractor with Inhibitory‐Excitatory Spiking Capability. Advanced Functional Materials. 33(45). 17 indexed citations

Tang, Baoshan, Hasita Veluri, Yida Li, et al.. (2022). Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing. Nature Communications. 13(1). 3037–3037. 170 indexed citations breakdown →

Sivan, Maheswari, Jin Feng Leong, Baoshan Tang, et al.. (2022). Physical Insights into Vacancy-Based Memtransistors: Toward Power Efficiency, Reliable Operation, and Scalability. ACS Nano. 16(9). 14308–14322. 26 indexed citations

Wang, Xinghua, Umesh Chand, Sonu Hooda, et al.. (2022). Stress-Memorized HZO for High-Performance Ferroelectric Field-Effect Memtransistor. ACS Applied Electronic Materials. 4(4). 1642–1650. 30 indexed citations

Thean, Aaron, Maheswari Sivan, Baoshan Tang, et al.. (2022). Low-Thermal-Budget BEOL-Compatible Beyond-Silicon Transistor Technologies for Future Monolithic-3D Compute and Memory Applications. 2022 International Electron Devices Meeting (IEDM). 12.2.1–12.2.4. 12 indexed citations

10.

Chand, Umesh, Yuxuan Luo, Hasita Veluri, et al.. (2021). 2-kbit Array of 3-D Monolithically-stacked IGZO FETs with Low SS-64mV/dec, Ultra-low-leakage, Competitive μ-57 cm 2 /V-s Performance and Novel nMOS-Only Circuit Demonstration. 1–2. 4 indexed citations

11.

Li, Yida, Xuewei Feng, Maheswari Sivan, et al.. (2020). Aerosol Jet Printed WSe₂ Crossbar Architecture Device on Kapton With Dual Functionality as Resistive Memory and Photosensor for Flexible System Integration. IEEE Sensors Journal. 20(9). 4653–4659. 24 indexed citations

12.

Li, Yida, A. Alian, Maheswari Sivan, et al.. (2019). A flexible InGaAs nanomembrane PhotoFET with tunable responsivities in near- and short-wave IR region for lightweight imaging applications. APL Materials. 7(3). 16 indexed citations

13.

Sivan, Maheswari, Yida Li, Hasita Veluri, et al.. (2019). All WSe2 1T1R resistive RAM cell for future monolithic 3D embedded memory integration. Nature Communications. 10(1). 5201–5201. 163 indexed citations

14.

Veluri, Hasita, Yida Li, Umesh Chand, et al.. (2019). Design of Artificial Spiking Neuron with SiO₂ Memristive Synapse to Demonstrate Neuron-Level Spike Timing Dependent Plasticity. National University of Singapore. 1–3.

15.

Lei, Dian, Yuye Kang, Maheswari Sivan, et al.. (2019). Highly Scaled Strained Silicon-On-Insulator Technology for the 5G Era: Impact of Geometry and Annealing on Strain Retention and Device Performance of nMOSFETs. IEEE Transactions on Electron Devices. 66(5). 2068–2074. 4 indexed citations

16.

Li, Yida, Maheswari Sivan, Hasita Veluri, et al.. (2019). Aerosol Jet Printed WSe₂ Based RRAM on Kapton Suitable for Flexible Monolithic Memory Integration. 1–3. 8 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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