Bharat Kaul

48 total papers · 1.6k total citations
17 papers, 569 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 17 papers receiving a total of 569 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), Parallel Computing and Optimization Techniques (5 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Bharat Kaul is often cited by papers focused on Advanced Neural Network Applications (6 papers), Parallel Computing and Optimization Techniques (5 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Bharat Kaul collaborates with scholars based in United States, India and United Kingdom. Bharat Kaul's co-authors include Dipankar Das, Eric Qin, Sudarshan Srinivasan, Ananda Samajdar, Tushar Krishna, Hyoukjun Kwon, Ashish Ranjan, Anand Raghunathan, Pradeep Dubey and Sasikanth Avancha and has published in prestigious journals such as The Astrophysical Journal Supplement Series, Journal of Artificial Intelligence Research and International Journal of Modern Physics C.

In The Last Decade

Bharat Kaul

16 papers receiving 552 citations

Hit Papers

SIGMA: A Sparse and Irreg... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bharat Kaul 274 269 205 185 116 17 569
Dipankar Das 168 0.6× 344 1.3× 217 1.1× 222 1.2× 173 1.5× 16 607
Lei Zhang 314 1.1× 318 1.2× 163 0.8× 191 1.0× 100 0.9× 25 588
Xuechao Wei 321 1.2× 286 1.1× 176 0.9× 143 0.8× 107 0.9× 28 560
Duncan J. M. Moss 268 1.0× 214 0.8× 138 0.7× 162 0.9× 100 0.9× 13 513
Xin Li 243 0.9× 247 0.9× 110 0.5× 242 1.3× 157 1.4× 21 611
Yiming Hu 268 1.0× 400 1.5× 114 0.6× 291 1.6× 46 0.4× 24 650
Xuan Yang 380 1.4× 291 1.1× 253 1.2× 147 0.8× 128 1.1× 18 630
Eunhyeok Park 203 0.7× 481 1.8× 104 0.5× 233 1.3× 88 0.8× 24 695
Suchit Subhaschandra 237 0.9× 222 0.8× 213 1.0× 144 0.8× 171 1.5× 8 517
David Sheffield 235 0.9× 197 0.7× 212 1.0× 172 0.9× 146 1.3× 14 549

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

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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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