Himanshu Buckchash

444 total citations
18 papers, 158 citations indexed

About

Himanshu Buckchash is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Himanshu Buckchash has authored 18 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Himanshu Buckchash's work include Anomaly Detection Techniques and Applications (8 papers), Human Pose and Action Recognition (7 papers) and Human Motion and Animation (3 papers). Himanshu Buckchash is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Human Pose and Action Recognition (7 papers) and Human Motion and Animation (3 papers). Himanshu Buckchash collaborates with scholars based in India, Norway and Malaysia. Himanshu Buckchash's co-authors include Balasubramanian Raman, Ganesh N. Pandian, Rahul Kumar, Vinodh J Sahayasheela, Narayanan Narayanan, Ridhi Arora, Javed Imran, R. Venkatesh Babu, Jogendra Nath Kundu and Dilip K. Prasad and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Himanshu Buckchash

15 papers receiving 154 citations

Peers

Himanshu Buckchash

CVPR

RNMI

CNC

Bojian Hou United States

Aoxiao Zhong United States

Behrooz Razeghi Iran

Ziqi Yang China

B. Uma Maheswari India

Sanjay Kumar Sonbhadra India

Mahesh Pawar India

Saumil Maheshwari India

Bojian Hou United States

Himanshu Buckchash

136 ×1.3

37 ×0.6

CVPR

39 ×0.9

RNMI

8 ×0.2

CNC

14 ×0.6

Citations per year, relative to Himanshu Buckchash Himanshu Buckchash (= 1×) peers Bojian Hou

Countries citing papers authored by Himanshu Buckchash

Since Specialization

Citations

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

Fields of papers citing papers by Himanshu Buckchash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Himanshu Buckchash

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

All Works

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18 of 18 papers shown

Buckchash, Himanshu, et al.. (2025). Applications and Challenges of AI and Microscopy in Life Science Research: A Review. ArXiv.org.

Buckchash, Himanshu, Brototi Biswas, Chhavi Agarwal, & Dilip K. Prasad. (2025). Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs. 1–5.

Buckchash, Himanshu, et al.. (2024). pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems. Neurocomputing. 593. 127810–127810. 5 indexed citations

Singh, Ayush, et al.. (2024). Latent Graph Attention for Spatial Context in Light-Weight Networks: Multi-Domain Applications in Visual Perception Tasks. Applied Sciences. 14(22). 10677–10677. 1 indexed citations

Kumar, Rahul, Ridhi Arora, Vinodh J Sahayasheela, et al.. (2022). Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient. Multimedia Tools and Applications. 81(19). 27631–27655. 26 indexed citations

Buckchash, Himanshu & Balasubramanian Raman. (2022). GraSP: Local Grassmannian Spatio-Temporal Patterns for Unsupervised Pose Sequence Recognition. ACM Transactions on Multimedia Computing Communications and Applications. 18(3). 1–23. 1 indexed citations

Arora, Ridhi, Himanshu Buckchash, Rahul Kumar, et al.. (2021). AI-based diagnosis of COVID-19 patients using X-ray scans with stochastic ensemble of CNNs. Physical and Engineering Sciences in Medicine. 44(4). 1257–1271. 18 indexed citations

Buckchash, Himanshu, et al.. (2021). Computational Intelligence Enabled Student Performance Estimation in the Age of COVID-19. SN Computer Science. 3(1). 41–41. 10 indexed citations

Buckchash, Himanshu, et al.. (2021). Discriminative Auto-Encoding for Classification and Representation Learning Problems. IEEE Signal Processing Letters. 28. 987–991. 9 indexed citations

10.

Buckchash, Himanshu & Balasubramanian Raman. (2021). Towards zero shot learning of geometry of motion streams and its application to anomaly recognition. Expert Systems with Applications. 177. 114916–114916. 8 indexed citations

11.

Buckchash, Himanshu & Balasubramanian Raman. (2020). Variational Conditioning of Deep Recurrent Networks for Modeling Complex Motion Dynamics. IEEE Access. 8. 67822–67834. 5 indexed citations

12.

Kundu, Jogendra Nath, et al.. (2020). Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions. 2713–2722. 14 indexed citations

13.

Buckchash, Himanshu & Balasubramanian Raman. (2020). Human Motion Generation by Stochastic Conditioning of Deep Recurrent Networks On Pose Manifolds. 2406–2410. 1 indexed citations

14.

Buckchash, Himanshu & Balasubramanian Raman. (2020). DuTriNet: Dual-Stream Triplet Siamese Network for Self-Supervised Action Recognition by Modeling Temporal Correlations. 488–495. 5 indexed citations

15.

Buckchash, Himanshu, et al.. (2018). Dense motion analysis of German finger spellings. Multimedia Tools and Applications. 78(8). 9511–9536. 2 indexed citations

16.

Buckchash, Himanshu & Balasubramanian Raman. (2017). A robust object detector: Application to detection of visual knives. 633–638. 18 indexed citations

17.

Buckchash, Himanshu, et al.. (2017). Anomaly based intrusion detection using filter based feature selection on KDD-CUP 99. 839–844. 35 indexed citations

18.

Buckchash, Himanshu & Gyanendra K. Verma. (2015). Texture vs. multiresolution analysis of facial expressions: application to emotion recognition. 2(1). 46–46.

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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