Bharat Kaul

1.6k total citations · 1 hit paper
18 papers, 577 citations indexed

About

Bharat Kaul is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Bharat Kaul has authored 18 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 5 papers in Hardware and Architecture. Recurrent topics in Bharat Kaul's work include Advanced Neural Network Applications (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Bharat Kaul is often cited by papers focused on Advanced Neural Network Applications (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Bharat Kaul collaborates with scholars based in United States, India and United Kingdom. Bharat Kaul's co-authors include Dipankar Das, Hyoukjun Kwon, Sudarshan Srinivasan, Ananda Samajdar, Eric Qin, Tushar Krishna, Ashish Ranjan, Anand Raghunathan, Pradeep Dubey and Dipankar Das and has published in prestigious journals such as The Astrophysical Journal Supplement Series, Journal of Artificial Intelligence Research and Autonomous Agents and Multi-Agent Systems.

In The Last Decade

Bharat Kaul

16 papers receiving 559 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.

SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training

2020 288 citations Eric Qin, Ananda Samajdar et al. profile →

Peers

Bharat Kaul

EEE

CVPR

HA

AI

CNC

Jungwook Choi South Korea

Juhyoung Lee South Korea

Ananda Samajdar United States

Xuechao Wei China

Eric Qin United States

Guohao Dai China

Patrick Judd Canada

David Sheffield United States

Huiying Lan China

Dipankar Das India

Jungwook Choi South Korea

Bharat Kaul

362 ×1.3

EEE

352 ×1.3

CVPR

155 ×0.7

HA

352 ×1.9

AI

111 ×0.9

CNC

Citations per year, relative to Bharat Kaul Bharat Kaul (= 1×) peers Jungwook Choi

Countries citing papers authored by Bharat Kaul

Since Specialization

Citations

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

Fields of papers citing papers by Bharat Kaul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bharat Kaul

This figure shows the co-authorship network connecting the top 25 collaborators of Bharat Kaul. A scholar is included among the top collaborators of Bharat Kaul 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 Bharat Kaul. Bharat Kaul 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:

18 of 18 papers shown

1.

Hanasoge, Shravan, et al.. (2025). A Multimodal Encoder–Decoder Neural Network for Forecasting Solar Wind Speed at L1. The Astrophysical Journal Supplement Series. 280(1). 40–40.

2.

Ravindran, Balaraman, et al.. (2021). SEERL: Sample Efficient Ensemble Reinforcement Learning. Autonomous Agents and Multi-Agent Systems. 1100–1108.

3.

Santara, Anirban, et al.. (2021). MADRaS : Multi Agent Driving Simulator. Journal of Artificial Intelligence Research. 70. 1517–1555. 12 indexed citations

4.

Heinecke, Alexander, et al.. (2021). PolyDL. ACM Transactions on Architecture and Code Optimization. 18(1). 1–27. 15 indexed citations

5.

Santara, Anirban, et al.. (2020). MADRaS : Multi Agent Driving Simulator. arXiv (Cornell University). 70. 1517–1555. 1 indexed citations

6.

Qin, Eric, Ananda Samajdar, Hyoukjun Kwon, et al.. (2020). SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. 58–70. 288 indexed citations breakdown →

7.

Ranjan, Ashish, et al.. (2019). Manna. 794–806. 15 indexed citations

8.

Ranjan, Ashish, et al.. (2019). X-MANN. 1–6. 17 indexed citations

9.

Srinivasan, Sudarshan, Eric Qin, Dhiraj Kalamkar, et al.. (2019). K-TanH: Hardware Efficient Activations For Deep Learning.. 3 indexed citations

10.

Das, Dipankar, Naveen Mellempudi, Dheevatsa Mudigere, et al.. (2018). Mixed Precision Training of Convolutional Neural Networks using Integer Operations. arXiv (Cornell University). 15 indexed citations

11.

Venkataramani, Swagath, Ashish Ranjan, Subarno Banerjee, et al.. (2017). ScaleDeep. ACM SIGARCH Computer Architecture News. 45(2). 13–26. 19 indexed citations

12.

Venkataramani, Swagath, Ashish Ranjan, Subarno Banerjee, et al.. (2017). ScaleDeep. 13–26. 123 indexed citations

13.

Mudigere, Dheevatsa, Srinivas Sridharan, Jongsoo Park, et al.. (2015). Exploring Shared-Memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 723–732. 13 indexed citations

14.

Vaidyanathan, Karthikeyan, Dhiraj Kalamkar, Alexander Heinecke, et al.. (2014). Improving Communication Performance and Scalability of Native Applications on Intel Xeon Phi Coprocessor Clusters. 19. 1083–1092. 9 indexed citations

15.

Kaul, Bharat, et al.. (2013). Data structure and movement for lattice-based simulations. Physical Review E. 88(1). 13314–13314. 32 indexed citations

16.

Sherlekar, S.D., et al.. (2013). ON VECTORIZATION FOR LATTICE BASED SIMULATIONS. International Journal of Modern Physics C. 24(12). 1340011–1340011. 8 indexed citations

17.

Kaul, Bharat, et al.. (2012). Generalization of Magic Square (Numerical Logic) 3×3 and its Multiples (3×3) × (3×3). International Journal of Intelligent Systems and Applications. 5(1). 90–97. 2 indexed citations

18.

Kalamkar, Dhiraj, Srinivas Sridharan, Mikhail Smelyanskiy, et al.. (2012). High Performance Non-uniform FFT on Modern X86-based Multi-core Systems. 449–460. 5 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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