Adarsh Kumar Kosta

438 total citations
18 papers, 222 citations indexed

About

Adarsh Kumar Kosta is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Adarsh Kumar Kosta has authored 18 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 6 papers in Cognitive Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Adarsh Kumar Kosta's work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Neural Networks and Reservoir Computing (5 papers). Adarsh Kumar Kosta is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Neural Networks and Reservoir Computing (5 papers). Adarsh Kumar Kosta collaborates with scholars based in United States and India. Adarsh Kumar Kosta's co-authors include Kaushik Roy, Nitin Rathi, Aayush Ankit, Priyadarshini Panda, Indranil Chakraborty, Abhronil Sengupta, Chankyu Lee, Amogh Agrawal, Sayeed Shafayet Chowdhury and Zishen Wan and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Emerging Topics in Computing.

In The Last Decade

Adarsh Kumar Kosta

16 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adarsh Kumar Kosta United States 8 167 79 69 24 21 18 222
Xiao Ming-qing China 8 104 0.6× 59 0.7× 101 1.5× 33 1.4× 16 0.8× 25 209
Gourav Datta United States 9 168 1.0× 67 0.8× 71 1.0× 37 1.5× 28 1.3× 25 233
Man Yao China 7 274 1.6× 127 1.6× 175 2.5× 41 1.7× 37 1.8× 15 366
Shasha Guo China 9 196 1.2× 93 1.2× 74 1.1× 43 1.8× 49 2.3× 24 267
Gregor Lenz France 5 274 1.6× 126 1.6× 134 1.9× 18 0.8× 73 3.5× 12 361
Amar Shrestha United States 10 233 1.4× 97 1.2× 120 1.7× 13 0.5× 67 3.2× 16 271
William Severa United States 8 177 1.1× 148 1.9× 74 1.1× 23 1.0× 40 1.9× 31 273
Guangzhi Tang Netherlands 7 146 0.9× 53 0.7× 81 1.2× 11 0.5× 44 2.1× 18 173
Brian Crafton United States 11 262 1.6× 64 0.8× 18 0.3× 25 1.0× 36 1.7× 21 292
Zongwu Wang China 10 206 1.2× 121 1.5× 72 1.0× 73 3.0× 14 0.7× 43 316

Countries citing papers authored by Adarsh Kumar Kosta

Since Specialization
Citations

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

Fields of papers citing papers by Adarsh Kumar Kosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adarsh Kumar Kosta. 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 Adarsh Kumar Kosta. The network helps show where Adarsh Kumar Kosta may publish in the future.

Co-authorship network of co-authors of Adarsh Kumar Kosta

This figure shows the co-authorship network connecting the top 25 collaborators of Adarsh Kumar Kosta. A scholar is included among the top collaborators of Adarsh Kumar Kosta 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 Adarsh Kumar Kosta. Adarsh Kumar Kosta 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.
Roy, Kaushik, Adarsh Kumar Kosta, Anand Raghunathan, et al.. (2025). Breaking the memory wall: next-generation artificial intelligence hardware. SHILAP Revista de lepidopterología. 3.
2.
Chowdhury, Sayeed Shafayet, et al.. (2025). Neuromorphic computing for robotic vision: algorithms to hardware advances. Communications Engineering. 4(1). 152–152. 2 indexed citations
4.
Kosta, Adarsh Kumar, et al.. (2024). Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation. 2696–2703. 2 indexed citations
5.
Kosta, Adarsh Kumar, et al.. (2024). FEDORA: A Flying Event Dataset fOr Reactive behAvior. 5859–5866. 1 indexed citations
6.
Kosta, Adarsh Kumar, et al.. (2024). HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. 5952–5962. 8 indexed citations
7.
Chowdhury, Sayeed Shafayet, et al.. (2023). Unlocking the Potential of Spiking Neural Networks: Understanding the What, Why, and Where. IEEE Transactions on Cognitive and Developmental Systems. 16(5). 1648–1663. 7 indexed citations
8.
Kosta, Adarsh Kumar & Kaushik Roy. (2023). Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics. 6021–6027. 14 indexed citations
9.
Kosta, Adarsh Kumar, et al.. (2023). Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks. IEEE Transactions on Emerging Topics in Computing. 12(1). 35–47. 7 indexed citations
11.
Kosta, Adarsh Kumar, et al.. (2023). Lightning Talk: A Perspective on Neuromorphic Computing. 1–2. 1 indexed citations
12.
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
13.
Lee, Chankyu, Adarsh Kumar Kosta, & Kaushik Roy. (2022). Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. 2022 International Conference on Robotics and Automation (ICRA). 6504–6510. 30 indexed citations
14.
Kosta, Adarsh Kumar, et al.. (2022). RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. 2022 International Conference on Robotics and Automation (ICRA). 7492–7498. 2 indexed citations
15.
Kosta, Adarsh Kumar, et al.. (2022). HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 88–91. 7 indexed citations
16.
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
17.
Agrawal, Amogh, et al.. (2020). CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 10(3). 295–305. 18 indexed citations
18.
Kosta, Adarsh Kumar, et al.. (2018). Low-cost Brain Controlled Orthotic Exoskeleton Arm for Monoplegic Paralyzed Individuals. 15. 2083–2087. 1 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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