Manan Suri

3.5k total citations
101 papers, 1.5k citations indexed

About

Manan Suri is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Manan Suri has authored 101 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Electrical and Electronic Engineering, 25 papers in Artificial Intelligence and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Manan Suri's work include Advanced Memory and Neural Computing (83 papers), Ferroelectric and Negative Capacitance Devices (45 papers) and Semiconductor materials and devices (15 papers). Manan Suri is often cited by papers focused on Advanced Memory and Neural Computing (83 papers), Ferroelectric and Negative Capacitance Devices (45 papers) and Semiconductor materials and devices (15 papers). Manan Suri collaborates with scholars based in India, France and Taiwan. Manan Suri's co-authors include Damien Querlioz, Olivier Bichler, Christian Gamrat, D. Vuillaume, Vivek Parmar, B. DeSalvo, Sandeep Kaur Kingra, L. Perniola, O. Cueto and Elisa Vianello and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Manan Suri

91 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manan Suri India 16 1.3k 485 313 298 151 101 1.5k
Sukru Burc Eryilmaz United States 8 1.7k 1.3× 623 1.3× 257 0.8× 368 1.2× 186 1.2× 14 1.8k
S. R. Nandakumar United States 15 1.5k 1.2× 458 0.9× 225 0.7× 427 1.4× 294 1.9× 26 1.6k
Peng Yan United States 10 1.5k 1.1× 636 1.3× 294 0.9× 286 1.0× 110 0.7× 13 1.6k
Giacomo Pedretti Italy 21 1.8k 1.4× 595 1.2× 459 1.5× 631 2.1× 108 0.7× 64 2.0k
Riduan Khaddam-Aljameh Switzerland 8 1.5k 1.1× 340 0.7× 142 0.5× 343 1.2× 328 2.2× 16 1.6k
Christian Mayr Germany 21 1.3k 1.0× 642 1.3× 528 1.7× 242 0.8× 73 0.5× 131 1.5k
Yimao Cai China 20 1.1k 0.9× 359 0.7× 93 0.3× 171 0.6× 154 1.0× 109 1.2k
Siddharth Joshi United States 20 1.7k 1.3× 493 1.0× 367 1.2× 381 1.3× 158 1.0× 57 1.9k
Weier Wan United States 9 877 0.7× 229 0.5× 110 0.4× 204 0.7× 106 0.7× 16 947
Severin Sidler Switzerland 9 2.5k 1.9× 837 1.7× 385 1.2× 611 2.1× 342 2.3× 11 2.6k

Countries citing papers authored by Manan Suri

Since Specialization
Citations

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

Fields of papers citing papers by Manan Suri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manan Suri

This figure shows the co-authorship network connecting the top 25 collaborators of Manan Suri. A scholar is included among the top collaborators of Manan Suri 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 Manan Suri. Manan Suri 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.
2.
Suri, Manan, et al.. (2024). VPU-CIM: A 130nm, 33.98 TOPS/W RRAM based Compute-In-Memory Vector Co-Processor. 1–5. 1 indexed citations
3.
Suri, Manan, et al.. (2024). POEM: Performance Optimization and Endurance Management for Non-volatile Caches. ACM Transactions on Design Automation of Electronic Systems. 29(5). 1–36. 2 indexed citations
4.
Abs, Elisabeth, et al.. (2024). Spike frequency adaptation: bridging neural models and neuromorphic applications. SHILAP Revista de lepidopterología. 3(1). 14 indexed citations
5.
Parmar, Vivek, et al.. (2023). Analysis of VMM computation strategies to implement BNN applications on RRAM arrays. SHILAP Revista de lepidopterología. 1(2). 2 indexed citations
6.
Kumar, Manoj & Manan Suri. (2023). Oxide-based Memory Devices as Artificial Dendrites for Neuromorphic Hardware. 1–6. 1 indexed citations
7.
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
8.
Suri, Manan, et al.. (2023). A survey and perspective on neuromorphic continual learning systems. Frontiers in Neuroscience. 17. 1149410–1149410. 3 indexed citations
9.
Parmar, Vivek, Sandeep Kaur Kingra, Syed Shakib Sarwar, et al.. (2023). Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications. 30. 4502–4508. 1 indexed citations
10.
Parmar, Vivek, Sandeep Kaur Kingra, Deepak Verma, et al.. (2023). Demonstration of SMT-reflow Immune and SCA-resilient PUF on 28nm RRAM device array. SPIRE - Sciences Po Institutional REpository. 1–4.
11.
Chakraborty, Supriya & Manan Suri. (2023). Exploiting switching properties of non-volatile memory chips for data security applications. SHILAP Revista de lepidopterología. 4. 100044–100044. 1 indexed citations
12.
Parmar, Vivek, Bogdan Penkovsky, Damien Querlioz, & Manan Suri. (2022). Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing. Frontiers in Neuroscience. 15. 781786–781786. 4 indexed citations
13.
Suri, Manan, et al.. (2021). An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation. Nature Communications. 12(1). 4234–4234. 69 indexed citations
14.
Kingra, Sandeep Kaur, Vivek Parmar, Che‐Chia Chang, et al.. (2020). SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices. Scientific Reports. 10(1). 2567–2567. 169 indexed citations
15.
Bennett, Christopher H., Vivek Parmar, Laurie E. Calvet, et al.. (2019). Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. IEEE Access. 7. 73938–73953. 4 indexed citations
16.
Parmar, Vivek, Jung-Ho Ahn, & Manan Suri. (2019). Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware. 1–7. 2 indexed citations
17.
Mohapatra, Nihar R., et al.. (2018). Transient Variability in SOI-Based LIF Neuron and Impact on Unsupervised Learning. IEEE Transactions on Electron Devices. 65(11). 5137–5144. 7 indexed citations
18.
Merkel, Cory, Dhireesha Kudithipudi, Manan Suri, & Bryant Wysocki. (2017). Stochastic CBRAM-Based Neuromorphic Time Series Prediction System. ACM Journal on Emerging Technologies in Computing Systems. 13(3). 1–14. 4 indexed citations
19.
Suri, Manan, et al.. (2017). Rapid cervical cancer detection using neuromorphic hardware. 1–4. 3 indexed citations
20.
Suri, Manan, et al.. (2010). Vehicle tracking based technique for radiation monitoring during nuclear or radiological emergency. Radiation Protection and Environment. 33(3). 131.

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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