Nitin Rathi

1.2k total citations
18 papers, 553 citations indexed

About

Nitin Rathi is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Nitin Rathi has authored 18 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 4 papers in Cognitive Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Nitin Rathi's work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Neural dynamics and brain function (4 papers). Nitin Rathi is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Neural dynamics and brain function (4 papers). Nitin Rathi collaborates with scholars based in United States, India and South Korea. Nitin Rathi's co-authors include Kaushik Roy, Swaroop Ghosh, Debjani Roy, Priyadarshini Panda, Adarsh Kumar Kosta, Aayush Ankit, Indranil Chakraborty, Abhronil Sengupta, Amogh Agrawal and Helia Naeimi and has published in prestigious journals such as PLoS ONE, ACM Computing Surveys and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Nitin Rathi

18 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitin Rathi United States 12 390 167 155 61 48 18 553
Josep L. Rosselló Spain 17 649 1.7× 190 1.1× 372 2.4× 52 0.9× 30 0.6× 68 854
Indranil Chakraborty United States 15 680 1.7× 91 0.5× 202 1.3× 105 1.7× 9 0.2× 36 815
Vincent Canals Spain 15 399 1.0× 180 1.1× 355 2.3× 40 0.7× 23 0.5× 54 612
Antoni Morro Spain 11 218 0.6× 110 0.7× 192 1.2× 34 0.6× 23 0.5× 18 358
Prasanna Date United States 12 712 1.8× 173 1.0× 475 3.1× 181 3.0× 11 0.2× 36 966
Guanrui Wang China 9 446 1.1× 131 0.8× 153 1.0× 135 2.2× 10 0.2× 17 554
De Ma China 14 405 1.0× 210 1.3× 197 1.3× 94 1.5× 15 0.3× 44 592
Joachim Becker Germany 18 728 1.9× 153 0.9× 71 0.5× 336 5.5× 23 0.5× 86 1.0k
Haibin Shen China 14 148 0.4× 144 0.9× 102 0.7× 18 0.3× 43 0.9× 82 676
Anni Lu United States 14 667 1.7× 24 0.1× 152 1.0× 107 1.8× 26 0.5× 36 792

Countries citing papers authored by Nitin Rathi

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Rathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Rathi

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

All Works

18 of 18 papers shown
1.
Rathi, Nitin & Kaushik Roy. (2024). LITE-SNN: Leveraging Inherent Dynamics to Train Energy-Efficient Spiking Neural Networks for Sequential Learning. IEEE Transactions on Cognitive and Developmental Systems. 16(6). 1905–1914. 3 indexed citations
2.
Rathi, Nitin, et al.. (2023). Non-conventional machining of nickel based superalloys: A review. Materials Today Proceedings. 16 indexed citations
3.
Rathi, Nitin, Indranil Chakraborty, Adarsh Kumar Kosta, et al.. (2022). Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Computing Surveys. 55(12). 1–49. 106 indexed citations
4.
Rathi, Nitin, et al.. (2022). Efficiency attacks on spiking neural networks. Proceedings of the 59th ACM/IEEE Design Automation Conference. 373–378. 4 indexed citations
5.
Agrawal, Amogh, et al.. (2021). IMPULSE: A 65-nm Digital Compute-in-Memory Macro With Fused Weights and Membrane Potential for Spike-Based Sequential Learning Tasks. IEEE Solid-State Circuits Letters. 4. 137–140. 32 indexed citations
6.
Rathi, Nitin & Kaushik Roy. (2021). DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 3174–3182. 155 indexed citations
7.
Parsa, Maryam, Catherine D. Schuman, Nitin Rathi, et al.. (2021). Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 1 indexed citations
8.
Rathi, Nitin, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, & Kaushik Roy. (2021). Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives. 902–907. 11 indexed citations
9.
Rathi, Nitin, Gopalakrishnan Srinivasan, Priyadarshini Panda, & Kaushik Roy. (2020). Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. arXiv (Cornell University). 22 indexed citations
10.
Rathi, Nitin & Kaushik Roy. (2018). STDP Based Unsupervised Multimodal Learning With Cross-Modal Processing in Spiking Neural Networks. IEEE Transactions on Emerging Topics in Computational Intelligence. 5(1). 143–153. 24 indexed citations
11.
Ghosh, Swaroop, et al.. (2018). Magnetic Tunnel Junction Reliability Assessment Under Process Variations and Activity Factors and Mitigation Techniques. Journal of Low Power Electronics. 14(2). 217–226. 2 indexed citations
12.
Ghosh, Swaroop, et al.. (2017). Cache Bypassing and Checkpointing to Circumvent Data Security Attacks on STTRAM. IEEE Transactions on Emerging Topics in Computing. 7(2). 262–270. 3 indexed citations
13.
Roy, Debjani, et al.. (2017). Epigenetic Drug Repositioning for Alzheimer’s Disease Based on Epigenetic Targets in Human Interactome. Journal of Alzheimer s Disease. 61(1). 53–65. 16 indexed citations
14.
Rathi, Nitin, et al.. (2016). Data privacy in non-volatile cache: Challenges, attack models and solutions. 348–353. 14 indexed citations
15.
Ghosh, Swaroop, et al.. (2016). Side channel attacks on STTRAM and low-overhead countermeasures. 141–146. 15 indexed citations
16.
Ghosh, Swaroop, et al.. (2015). Impact of process-variations in STTRAM and adaptive boosting for robustness. Design, Automation, and Test in Europe. 1431–1436. 33 indexed citations
17.
Ghosh, Swaroop, et al.. (2015). Impact of Process-Variations in STTRAM and Adaptive Boosting for Robustness. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. 1431–1436. 38 indexed citations
18.
Rathi, Nitin, et al.. (2014). Construction and Analysis of the Protein-Protein Interaction Networks Based on Gene Expression Profiles of Parkinson's Disease. PLoS ONE. 9(8). e103047–e103047. 58 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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