Bipin Rajendran

7.1k total citations · 3 hit papers
105 papers, 5.0k citations indexed

About

Bipin Rajendran is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Bipin Rajendran has authored 105 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Electrical and Electronic Engineering, 25 papers in Cellular and Molecular Neuroscience and 24 papers in Artificial Intelligence. Recurrent topics in Bipin Rajendran's work include Advanced Memory and Neural Computing (71 papers), Ferroelectric and Negative Capacitance Devices (30 papers) and Neural dynamics and brain function (18 papers). Bipin Rajendran is often cited by papers focused on Advanced Memory and Neural Computing (71 papers), Ferroelectric and Negative Capacitance Devices (30 papers) and Neural dynamics and brain function (18 papers). Bipin Rajendran collaborates with scholars based in United States, India and United Kingdom. Bipin Rajendran's co-authors include Abu Sebastian, Simone Raoux, S. R. Nandakumar, H.‐S. Philip Wong, John P. Reifenberg, Mehdi Asheghi, Jiale Liang, Kenneth E. Goodson, Sang‐Bum Kim and Evangelos Eleftheriou and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Bipin Rajendran

101 papers receiving 4.8k 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.

Phase Change Memory

2010 1.4k citations H.‐S. Philip Wong, Simone Raoux et al. Proceedings of the IEEE profile →
Neuromorphic computing with multi-memristive synapses

2018 637 citations Irem Boybat, Manuel Le Gallo et al. Nature Communications profile →
Accurate deep neural network inference using computational phase-change memory

2020 300 citations Vinay Joshi, Manuel Le Gallo et al. profile →

Peers

Countries citing papers authored by Bipin Rajendran

Since Specialization

Citations

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

Fields of papers citing papers by Bipin Rajendran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bipin Rajendran

This figure shows the co-authorship network connecting the top 25 collaborators of Bipin Rajendran. A scholar is included among the top collaborators of Bipin Rajendran 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 Bipin Rajendran. Bipin Rajendran 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	Towards efficient and reliable artificial intelligence through neuromorphic principles 2026 ·Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences ·Bipin Rajendran, (unknown), Bashir M. Al‐Hashimi	0
2	Neuromorphic Wireless Split Computing With Multi-Level Spikes 2025 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Bipin Rajendran, H. Vincent Poor, Osvaldo Simeone	1
3	Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks 2025 ·IEEE Transactions on Circuits and Systems I Regular Papers ·(unknown), (unknown), Osvaldo Simeone, Bashir M. Al‐Hashimi, Bipin Rajendran	1
4	Bayesian Inference Accelerator for Spiking Neural Networks 2024 ·(unknown), (unknown), (unknown), Amit Acharyya, Bashir M. Al‐Hashimi, Bipin Rajendran	3
5	Satellite Adaptive Onboard Beamforming Using Neuromorphic Processors 2024 ·Open Repository and Bibliography (University of Luxembourg) ·Wallace A. Martins, Eva Lagunas, (unknown), Flor Ortíz, Geoffrey Eappen, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas	1
6	Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection 2024 ·Zihang Song, Osvaldo Simeone, Bipin Rajendran	7
7	Building a Smart and Green AI 2023 ·The Electrochemical Society Interface ·Bipin Rajendran	2
8	Ultra-low power neuromorphic obstacle detection using a two-dimensional materials-based subthreshold transistor 2023 ·npj 2D Materials and Applications ·Kartikey Thakar, Bipin Rajendran, Saurabh Lodha	12
9	Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses 2020 ·Scientific Reports ·S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran	57
10	Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing 2020 ·SHILAP Revista de lepidopterología ·Adnan Mehonić, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon	220
11	Bio-mimetic synaptic plasticity and learning in a sub-500 mV Cu/SiO2/W memristor 2020 ·Microelectronic Engineering ·S. R. Nandakumar, Bipin Rajendran	12
12	Mixed-Precision Deep Learning Based on Computational Memory 2020 ·Frontiers in Neuroscience ·S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Αναστάσιος Πετρόπουλος, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou	76
13	Neuromorphic computing with multi-memristive synapses breakdown → 2018 ·Nature Communications ·Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas Parnell, Tomáš Tůma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou	637
14	A phase-change memory model for neuromorphic computing 2018 ·Journal of Applied Physics ·S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou	118
15	Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization 2018 ·Neural Networks ·Shruti Kulkarni, Bipin Rajendran	105
16	Mixed-precision architecture based on computational memory for training deep neural networks 2018 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou	44
17	Efficient and robust spiking neural circuit for navigation inspired by echolocating bats 2016 ·Neural Information Processing Systems ·(unknown), (unknown), Bipin Rajendran	5
18	Programming Current Reduction via Enhanced Asymmetry-Induced Thermoelectric Effects in Vertical Nanopillar Phase-Change Memory Cells 2015 ·IEEE Transactions on Electron Devices ·(unknown), Bipin Rajendran, Bhaskaran Muralidharan	6
19	Phase Change Memory breakdown → 2010 ·Proceedings of the IEEE ·H.‐S. Philip Wong, Simone Raoux, Sang‐Bum Kim, Jiale Liang, John P. Reifenberg, Bipin Rajendran, Mehdi Asheghi, Kenneth E. Goodson	1402
20	Endurance Improvement of Ge2Sb2Te5-Based Phase Change Memory 2009 ·(unknown), A. G. Schrott, (unknown), Simone Raoux, Yang‐Hsin Shih, M. Breitwisch, F. Baumann, Erh-Kun Lai, T. Shaw, P. Flaitz, R. Cheek, Eric Joseph, (unknown), Bipin Rajendran, H.L. Lung, C. Lam	39

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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