Praful Hambarde

766 total citations
14 papers, 478 citations indexed

About

Praful Hambarde is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Plant Science. According to data from OpenAlex, Praful Hambarde has authored 14 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 3 papers in Plant Science. Recurrent topics in Praful Hambarde's work include Advanced Vision and Imaging (5 papers), Image Enhancement Techniques (4 papers) and Advanced Image Processing Techniques (4 papers). Praful Hambarde is often cited by papers focused on Advanced Vision and Imaging (5 papers), Image Enhancement Techniques (4 papers) and Advanced Image Processing Techniques (4 papers). Praful Hambarde collaborates with scholars based in India, Australia and Ireland. Praful Hambarde's co-authors include Subrahmanyam Murala, Abhinav Dhall, Akshay Dudhane, Prashant W. Patil, Manesh Kokare, Ravi Kamble, Abhishek Mahajan, Satishkumar Chavan, Meenakshi Thakur and Nilesh Sable and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Instrumentation and Measurement and IEEE Signal Processing Letters.

In The Last Decade

Praful Hambarde

14 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Praful Hambarde India	10	332	120	93	38	33	14	478
Shuwei Shi China	6	231 0.7×	124 1.0×	58 0.6×	15 0.4×	22 0.7×	9	369
Xiwang Xie China	10	253 0.8×	87 0.7×	64 0.7×	62 1.6×	31 0.9×	18	466
Kaiqiong Sun China	9	189 0.6×	24 0.2×	67 0.7×	110 2.9×	24 0.7×	27	315
K. K. Thyagharajan India	11	163 0.5×	101 0.8×	28 0.3×	10 0.3×	19 0.6×	58	370
Teresa E. Alarcón Mexico	8	184 0.6×	91 0.8×	17 0.2×	36 0.9×	30 0.9×	19	283
Hüseyin Fırat Türkiye	10	81 0.2×	149 1.2×	16 0.2×	47 1.2×	17 0.5×	35	334
Romulus Terebeş Romania	9	89 0.3×	52 0.4×	91 1.0×	15 0.4×	22 0.7×	44	284
Jun Lyu China	9	159 0.5×	83 0.7×	23 0.2×	60 1.6×	33 1.0×	27	281
Miaomiao Liang China	13	145 0.4×	473 3.9×	15 0.2×	41 1.1×	26 0.8×	34	604

Countries citing papers authored by Praful Hambarde

Since Specialization

Citations

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

Fields of papers citing papers by Praful Hambarde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praful Hambarde

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

All Works

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14 of 14 papers shown

Kokare, Manesh, et al.. (2024). Advancing real-time plant disease detection: A lightweight deep learning approach and novel dataset for pigeon pea crop. SHILAP Revista de lepidopterología. 7. 100408–100408. 24 indexed citations

Maheshwari, R, et al.. (2024). Luminate: Linguistic Understanding and Multi-Granularity Interaction for Video Object Segmentation. 4028–4034. 1 indexed citations

Hambarde, Praful, et al.. (2024). Occlusion Boundary Prediction and Transformer Based Depth-Map Refinement From Single Image. ACM Transactions on Multimedia Computing Communications and Applications. 1 indexed citations

Kokare, Manesh, et al.. (2022). Eff-UNet++: A novel architecture for plant leaf segmentation and counting. Ecological Informatics. 68. 101583–101583. 49 indexed citations

Patil, Prashant W., et al.. (2022). Robust Unseen Video Understanding for Various Surveillance Environments. 30. 1–8. 2 indexed citations

Kokare, Manesh, et al.. (2021). WheatNet-Lite: A Novel Light Weight Network for Wheat Head Detection. 1332–1341. 29 indexed citations

Hambarde, Praful, Subrahmanyam Murala, & Abhinav Dhall. (2021). UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 126 indexed citations

Hambarde, Praful, Akshay Dudhane, Prashant W. Patil, Subrahmanyam Murala, & Abhinav Dhall. (2020). Depth Estimation From Single Image And Semantic Prior. 1441–1445. 19 indexed citations

Dudhane, Akshay, Praful Hambarde, Prashant W. Patil, & Subrahmanyam Murala. (2020). Deep Underwater Image Restoration and Beyond. IEEE Signal Processing Letters. 27. 675–679. 79 indexed citations

10.

Dudhane, Akshay, et al.. (2020). Varicolored Image De-Hazing. 4563–4572. 38 indexed citations

11.

Hambarde, Praful & Subrahmanyam Murala. (2020). S2DNet: Depth Estimation From Single Image and Sparse Samples. IEEE Transactions on Computational Imaging. 6. 806–817. 39 indexed citations

12.

Hambarde, Praful, Sanjay N. Talbar, Abhishek Mahajan, et al.. (2020). Prostate lesion segmentation in MR images using radiomics based deeply supervised U-Net. Journal of Applied Biomedicine. 40(4). 1421–1435. 48 indexed citations

13.

Hambarde, Praful, Sanjay N. Talbar, Nilesh Sable, et al.. (2019). Radiomics for peripheral zone and intra-prostatic urethra segmentation in MR imaging. Biomedical Signal Processing and Control. 51. 19–29. 9 indexed citations

14.

Hambarde, Praful, Akshay Dudhane, & Subrahmanyam Murala. (2019). Single Image Depth Estimation Using Deep Adversarial Training. 989–993. 14 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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