Deepak Kadetotad

580 total citations
26 papers, 442 citations indexed

About

Deepak Kadetotad is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Deepak Kadetotad has authored 26 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Deepak Kadetotad's work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neuroscience and Neural Engineering (7 papers). Deepak Kadetotad is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neuroscience and Neural Engineering (7 papers). Deepak Kadetotad collaborates with scholars based in United States, South Korea and China. Deepak Kadetotad's co-authors include Jae-sun Seo, Shihui Yin, Yu Cao, Chaitali Chakrabarti, Abinash Mohanty, Shimeng Yu, Sarma Vrudhula, Binbin Lin, Jieping Ye and Pai-Yu Chen and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Biomedical Circuits and Systems.

In The Last Decade

Deepak Kadetotad

26 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Kadetotad United States	11	292	103	98	71	70	26	442
Adam Page United States	10	124 0.4×	50 0.5×	54 0.6×	77 1.1×	190 2.7×	14	351
Xiaoyang Zeng China	11	300 1.0×	41 0.4×	31 0.3×	46 0.6×	36 0.5×	71	394
Venkata Rajesh Pamula United States	11	188 0.6×	27 0.3×	100 1.0×	70 1.0×	61 0.9×	19	341
Corey Lammie Australia	12	362 1.2×	138 1.3×	113 1.2×	16 0.2×	142 2.0×	31	511
Morteza Hosseini United States	10	446 1.5×	223 2.2×	144 1.5×	14 0.2×	170 2.4×	19	607
Jianbiao Xiao China	7	161 0.6×	62 0.6×	48 0.5×	103 1.5×	120 1.7×	16	317
Sanjeev Tannirkulam Chandrasekaran United States	11	200 0.7×	67 0.7×	29 0.3×	16 0.2×	52 0.7×	24	270
Luke Everson United States	9	160 0.5×	34 0.3×	26 0.3×	192 2.7×	73 1.0×	21	451
Enyi Yao China	9	153 0.5×	88 0.9×	65 0.7×	9 0.1×	75 1.1×	30	252
Zunchao Li China	11	284 1.0×	46 0.4×	42 0.4×	35 0.5×	141 2.0×	44	461

Countries citing papers authored by Deepak Kadetotad

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Kadetotad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Kadetotad

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yin, Shihui, et al.. (2020). ECG Authentication Hardware Design With Low-Power Signal Processing and Neural Network Optimization With Low Precision and Structured Compression. IEEE Transactions on Biomedical Circuits and Systems. 14(2). 198–208. 19 indexed citations

Yin, Shihui, et al.. (2020). A Smart Hardware Security Engine Combining Entropy Sources of ECG, HRV, and SRAM PUF for Authentication and Secret Key Generation. IEEE Journal of Solid-State Circuits. 55(10). 2680–2690. 15 indexed citations

Kadetotad, Deepak, et al.. (2020). Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity. 21–25. 2 indexed citations

Yin, Shihui, et al.. (2019). ECG Authentication Neural Network Hardware Design with Collective Optimization of Low Precision and Structured Compression. 1–5. 4 indexed citations

Yin, Shihui, Minkyu Kim, Deepak Kadetotad, et al.. (2019). A 1.06-$\mu$ W Smart ECG Processor in 65-nm CMOS for Real-Time Biometric Authentication and Personal Cardiac Monitoring. IEEE Journal of Solid-State Circuits. 54(8). 2316–2326. 63 indexed citations

Kulkarni, Shruti, Deepak Kadetotad, Shihui Yin, Jae-sun Seo, & Bipin Rajendran. (2019). Neuromorphic Hardware Accelerator for SNN Inference based on STT-RAM Crossbar Arrays. Research Portal (King's College London). 438–441. 13 indexed citations

Kadetotad, Deepak, et al.. (2019). Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks. Arizona State University Library Digital Repository (Arizona State University). 1393–1397. 10 indexed citations

Kadetotad, Deepak, Visar Berisha, Chaitali Chakrabarti, & Jae-sun Seo. (2019). A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip. IEEE Solid-State Circuits Letters. 2(9). 119–122. 10 indexed citations

Chang, Kyungwook, Deepak Kadetotad, Yu Cao, Jae-sun Seo, & Sung Kyu Lim. (2018). Power, Performance, and Area Benefit of Monolithic 3D ICs for On-Chip Deep Neural Networks Targeting Speech Recognition. ACM Journal on Emerging Technologies in Computing Systems. 14(4). 1–19. 3 indexed citations

10.

Kulkarni, Shruti, Deepak Kadetotad, Jae-sun Seo, & Bipin Rajendran. (2018). Well-Posed Verilog-A Compact Model for Phase Change Memory. Research Portal (King's College London). 26. 369–373. 2 indexed citations

11.

Yin, Shihui, Deepak Kadetotad, Bonan Yan, et al.. (2017). Low-power neuromorphic speech recognition engine with coarse-grain sparsity. 111–114. 5 indexed citations

12.

Yin, Shihui, Minkyu Kim, Deepak Kadetotad, et al.. (2017). A 1.06 μw smart ecg processor in 65 nm cmos for real-time biometric authentication and personal cardiac monitoring. C102–C103. 9 indexed citations

13.

Kadetotad, Deepak, et al.. (2016). Efficient memory compression in deep neural networks using coarse-grain sparsification for speech applications. 1–8. 24 indexed citations

14.

Chen, Pai-Yu, Deepak Kadetotad, Zihan Xu, et al.. (2015). Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip. Design, Automation, and Test in Europe. 854–859. 38 indexed citations

15.

Chen, Pai-Yu, Deepak Kadetotad, Abinash Mohanty, et al.. (2015). Technology-design Co-optimization of Resistive Cross-point Array for Accelerating Learning Algorithms on Chip. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. 854–859. 44 indexed citations

16.

Seo, Jae-sun, Binbin Lin, Minkyu Kim, et al.. (2015). On-Chip Sparse Learning Acceleration With CMOS and Resistive Synaptic Devices. IEEE Transactions on Nanotechnology. 14(6). 969–979. 19 indexed citations

17.

Kadetotad, Deepak, Abinash Mohanty, Pai-Yu Chen, et al.. (2015). Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 5(2). 194–204. 56 indexed citations

18.

Mohanty, Abinash, Pai-Yu Chen, Deepak Kadetotad, et al.. (2014). Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity. Procedia Computer Science. 41. 126–133. 12 indexed citations

19.

Kadetotad, Deepak, Abinash Mohanty, Pai-Yu Chen, et al.. (2014). Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning. 536–539. 10 indexed citations

20.

Kadetotad, Deepak, et al.. (2013). A Brain-Computer Interface Based Security System. 248–252. 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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