Himanshu Kumar

1.2k total citations · 1 hit paper
16 papers, 623 citations indexed

About

Himanshu Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Himanshu Kumar has authored 16 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Himanshu Kumar's work include Handwritten Text Recognition Techniques (5 papers), Machine Learning and Data Classification (3 papers) and Natural Language Processing Techniques (3 papers). Himanshu Kumar is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Machine Learning and Data Classification (3 papers) and Natural Language Processing Techniques (3 papers). Himanshu Kumar collaborates with scholars based in India. Himanshu Kumar's co-authors include P. S. Sastry, Aritra Ghosh, A. G. Ramakrishnan, M. Hanmandlu, Naresh Manwani, Kundan Kumar, Rajaram Bal, Bhavani Rajaram, Rajendra Prasad Mahapatra and Harikumar Kandath and has published in prestigious journals such as Scientific Reports, ACM Transactions on Asian and Low-Resource Language Information Processing and International Journal of Innovative Technology and Exploring Engineering.

In The Last Decade

Himanshu Kumar

15 papers receiving 586 citations

Hit Papers

Robust Loss Functions under Label Noise for Deep Neural N... 2017 2026 2020 2023 2017 100 200 300 400 500
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.

  1. Robust Loss Functions under Label Noise for Deep Neural Networks
    2017 541 citations Aritra Ghosh, Himanshu Kumar et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Himanshu Kumar India 6 432 252 69 59 39 16 623
Yooju Shin South Korea 4 382 0.9× 162 0.6× 34 0.5× 46 0.8× 43 1.1× 9 605
Masanori Suganuma Japan 8 379 0.9× 400 1.6× 82 1.2× 33 0.6× 20 0.5× 25 711
Daiki Ikami Japan 8 386 0.9× 243 1.0× 21 0.3× 48 0.8× 27 0.7× 12 528
Chengliang Liu China 17 500 1.2× 434 1.7× 48 0.7× 17 0.3× 45 1.2× 46 828
Diego Ortego Spain 8 400 0.9× 333 1.3× 35 0.5× 21 0.4× 27 0.7× 14 635
Zheng Pan China 10 199 0.5× 330 1.3× 46 0.7× 26 0.4× 28 0.7× 33 570
Eric Arazo Ireland 6 380 0.9× 264 1.0× 31 0.4× 21 0.4× 27 0.7× 10 568
Bingyi Kang Singapore 5 487 1.1× 494 2.0× 90 1.3× 57 1.0× 20 0.5× 6 815
Ningzhong Liu China 15 138 0.3× 377 1.5× 92 1.3× 79 1.3× 68 1.7× 60 640
Zi-Rui Wang China 11 374 0.9× 294 1.2× 73 1.1× 14 0.2× 71 1.8× 23 661

Countries citing papers authored by Himanshu Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Himanshu Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Himanshu Kumar

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

All Works

16 of 16 papers shown
1.
Kumar, Himanshu, et al.. (2025). A deep embedded clustering method for location-specific driving safety profiling using trajectory data. Scientific Reports. 15(1). 41635–41635.
2.
3.
Kumar, Kundan, et al.. (2021). Efficient Human-Quality Kannada TTS using Transfer Learning on NVIDIA's Tacotron2. 1–6. 3 indexed citations
4.
Kumar, Himanshu, et al.. (2020). Hybrid Machine Intelligence for Imbalanced Data. SSRN Electronic Journal. 2 indexed citations
5.
Kumar, Himanshu, Naresh Manwani, & P. S. Sastry. (2020). Robust Learning of Multi-Label Classifiers under Label Noise. 90–97. 8 indexed citations
6.
Kumar, Himanshu & A. G. Ramakrishnan. (2020). Lipi Gnani. ACM Transactions on Asian and Low-Resource Language Information Processing. 19(4). 1–23. 7 indexed citations
7.
Amutha, B., et al.. (2019). Website Reputation System. International Journal of Innovative Technology and Exploring Engineering. 8(11S). 1228–1233. 1 indexed citations
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10.
Kumar, Himanshu & P. S. Sastry. (2018). Robust Loss Functions for Learning Multi-class Classifiers. 687–692. 8 indexed citations
11.
Kumar, Himanshu, et al.. (2018). Protocol based Ensemble Classifier for Malicious URL Detection. 331–336. 1 indexed citations
12.
Ghosh, Aritra, Himanshu Kumar, & P. S. Sastry. (2017). Robust Loss Functions under Label Noise for Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 541 indexed citations breakdown →
13.
Bal, Rajaram, Himanshu Kumar, & A. G. Ramakrishnan. (2014). MILE TTS for Tamil for blizzard challenge 2014. 21–27. 3 indexed citations
14.
Ramakrishnan, A. G., et al.. (2014). Improved recognition of aged Kannada documents by effective segmentation of merged characters. 1–6. 8 indexed citations
15.
Kumar, Himanshu, et al.. (2013). MILE TTS for Tamil and Kannada for blizzard challenge 2013. 60–63. 4 indexed citations
16.
Hanmandlu, M., et al.. (1999). Neural based handwritten character recognition. 8. 241–244. 31 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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