Gopalakrishnan Srinivasan

3.0k total citations · 1 hit paper
43 papers, 1.6k citations indexed

About

Gopalakrishnan Srinivasan is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Gopalakrishnan Srinivasan has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 12 papers in Cognitive Neuroscience and 11 papers in Artificial Intelligence. Recurrent topics in Gopalakrishnan Srinivasan's work include Advanced Memory and Neural Computing (21 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Neural dynamics and brain function (12 papers). Gopalakrishnan Srinivasan is often cited by papers focused on Advanced Memory and Neural Computing (21 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Neural dynamics and brain function (12 papers). Gopalakrishnan Srinivasan collaborates with scholars based in United States, United Kingdom and Spain. Gopalakrishnan Srinivasan's co-authors include Kaushik Roy, Priyadarshini Panda, Chankyu Lee, Abhronil Sengupta, Bing Han, Syed Shakib Sarwar, G. Shobha, Arumugam Abirami, Kalaiselvi Palanisamy and Mohamad Fawzi Mahomoodally and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Gopalakrishnan Srinivasan

39 papers receiving 1.6k 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.

Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures

2020 292 citations Chankyu Lee, Syed Shakib Sarwar et al. Frontiers in Neuroscience profile →

Peers

Countries citing papers authored by Gopalakrishnan Srinivasan

Since Specialization

Citations

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

Fields of papers citing papers by Gopalakrishnan Srinivasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopalakrishnan Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Gopalakrishnan Srinivasan. A scholar is included among the top collaborators of Gopalakrishnan Srinivasan 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 Gopalakrishnan Srinivasan. Gopalakrishnan Srinivasan 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	Phase II Study Investigating the Safety and Efficacy of Savolitinib and Durvalumab in Metastatic Papillary Renal Cancer (CALYPSO) 2023 ·Journal of Clinical Oncology ·Cristina Suárez, James Larkin, (unknown), Begoña P. Valderrama, Alejo Rodríguez‐Vida, Hilary Glen, Fiona Thistlethwaite, Christy Ralph, Gopalakrishnan Srinivasan, (unknown), Ryan J. Hartmaier, Aleksandra Markovets, Aaron Prendergast, Bernadett Szabados, Kelly Mousa, Thomas Powles	35
2	Entity Recognition in Clinical Text Using A Hybrid Model Based on LSTM and Neural Networks 2022 ·2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) ·(unknown), Gopalakrishnan Srinivasan, (unknown)	0
3	BlocTrain: Block-Wise Conditional Training and Inference for Efficient Spike-Based Deep Learning 2021 ·Frontiers in Neuroscience ·Gopalakrishnan Srinivasan, Kaushik Roy	2
4	Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems 2021 ·(unknown), Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy	11
5	Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures breakdown → 2020 ·Frontiers in Neuroscience ·Chankyu Lee, Syed Shakib Sarwar, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy	292
6	Effect of the COVID-19 pandemic on cancer treatment and research 2020 ·The Lancet Haematology ·Kamal S. Saini, Begoña de las Heras, Javier de Castro, Ramachandran Venkitaraman, Martine Poelman, Gopalakrishnan Srinivasan, Monika Lamba Saini, Sanjeev Verma, Manuela Leone, Philippe Aftimos, Giuseppe Curigliano	94
7	Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation 2020 ·arXiv (Cornell University) ·Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy	22
8	Structured Learning for Action Recognition in Videos 2019 ·IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·(unknown), Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy	0
9	Antioxidant activity, type II diabetes related enzymes, cholinesterase and tyrosinase inhibition properties of methanolic extracts of peel, pulp and peel fiber from underutilized fruits of Citrus hystrix and C. maxima 2018 ·International Journal of Food Sciences and Nutrition ·Arumugam Abirami, Gopalakrishnan Srinivasan, Gunasekaran Nagarani, (unknown), Perumal Siddhuraju	0
10	SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image Recognition 2018 ·Frontiers in Neuroscience ·Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy	26
11	Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning 2018 ·Frontiers in Neuroscience ·Chankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy	133
12	Stochastic Inference and Learning Enabled by Magnetic Tunnel Junctions 2018 ·Abhronil Sengupta, Gopalakrishnan Srinivasan, (unknown), Kaushik Roy	16
13	Magnetic tunnel junction enabled all-spin stochastic spiking neural network 2017 ·Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy	34
14	Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP Learning 2016 ·Scientific Reports ·Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy	159
15	Modeling and analysis for single item multi-attribute Reverse Auction 2013 ·(unknown), Kanakatti Subramanya, Gopalakrishnan Srinivasan	1
16	Segmentation techniques for target recognition 2008 ·WSEAS Transactions on Computers archive ·Gopalakrishnan Srinivasan, G. Shobha	11
17	An overview of segmentation techniques for target detection in visual images 2008 ·Gopalakrishnan Srinivasan, G. Shobha	3
18	How many patients self-medicate with St John's wort? 2001 ·Psychiatric Bulletin ·(unknown), Richard Laugharne, (unknown), Gopalakrishnan Srinivasan	9
19	Segmentation of gated TI-SPECT images and computation of ejection fraction: A different approach 1999 ·Journal of Nuclear Cardiology ·P. Brigger, Stephen L. Bacharach, Gopalakrishnan Srinivasan, (unknown), (unknown), Vasken Dilsizian, Akram Aldroubi, Michaël Unser	9
20	Unsuspected vasculitis and intracranial hemorrhage following thrombolysis 1997 ·Clinical Cardiology ·Gopalakrishnan Srinivasan, (unknown), Sanford I. Roth, Robert C. Hendel	7

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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