Sanjay N. Talbar

3.5k total citations
116 papers, 2.0k citations indexed

About

Sanjay N. Talbar is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Sanjay N. Talbar has authored 116 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 27 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Artificial Intelligence. Recurrent topics in Sanjay N. Talbar's work include Radiomics and Machine Learning in Medical Imaging (19 papers), Image Retrieval and Classification Techniques (14 papers) and AI in cancer detection (14 papers). Sanjay N. Talbar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Image Retrieval and Classification Techniques (14 papers) and AI in cancer detection (14 papers). Sanjay N. Talbar collaborates with scholars based in India, Nepal and Malaysia. Sanjay N. Talbar's co-authors include Suhas Gajre, Bhakti Baheti, Ujjwal Baid, Shubham Innani, Abhishek Mahajan, Meenakshi Thakur, Shweta Tyagi, Satishkumar Chavan, Nilesh Sable and Meenakshi M. Pawar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACM Computing Surveys.

In The Last Decade

Sanjay N. Talbar

108 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay N. Talbar India 23 849 687 485 314 200 116 2.0k
Vasileios Belagiannis Germany 18 1.1k 1.3× 533 0.8× 815 1.7× 82 0.3× 225 1.1× 49 2.1k
Enmin Song China 28 943 1.1× 773 1.1× 576 1.2× 289 0.9× 266 1.3× 142 2.7k
Naoufel Werghi United Arab Emirates 28 1.4k 1.6× 517 0.8× 671 1.4× 180 0.6× 296 1.5× 255 2.5k
Chih‐Cheng Hung United States 19 592 0.7× 381 0.6× 440 0.9× 287 0.9× 144 0.7× 130 1.7k
Jacinto C. Nascimento Portugal 26 1.4k 1.7× 802 1.2× 1.1k 2.3× 124 0.4× 473 2.4× 113 3.1k
Md Zahangir Alom United States 16 1.1k 1.3× 950 1.4× 1.3k 2.8× 119 0.4× 252 1.3× 63 3.3k
Abdullah-Al Nahid Bangladesh 23 521 0.6× 667 1.0× 973 2.0× 103 0.3× 136 0.7× 85 2.2k
Huimin Huang China 16 1.0k 1.2× 571 0.8× 649 1.3× 85 0.3× 282 1.4× 71 2.5k
Abdel Aziz Taha Germany 8 806 0.9× 935 1.4× 410 0.8× 331 1.1× 460 2.3× 11 2.3k
J. Shin United States 7 848 1.0× 1.0k 1.5× 1.1k 2.3× 227 0.7× 271 1.4× 7 2.5k

Countries citing papers authored by Sanjay N. Talbar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay N. Talbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjay N. Talbar. 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 Sanjay N. Talbar. The network helps show where Sanjay N. Talbar may publish in the future.

Co-authorship network of co-authors of Sanjay N. Talbar

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

All Works

20 of 20 papers shown
1.
Mahajan, Abhishek, Ujjwal Baid, Sanjay N. Talbar, et al.. (2023). Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer. SHILAP Revista de lepidopterología. 4(4). 657–668. 6 indexed citations
2.
Talbar, Sanjay N., et al.. (2022). Maximization of lung segmentation of generative adversarial network for using taguchi approach. The Imaging Science Journal. 70(7). 473–482. 1 indexed citations
3.
Talbar, Sanjay N., et al.. (2021). MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images. Computerized Medical Imaging and Graphics. 89. 101885–101885. 100 indexed citations
4.
Talbar, Sanjay N., et al.. (2021). HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images. Computer Methods and Programs in Biomedicine. 213. 106501–106501. 49 indexed citations
5.
Dudhane, Akshay, et al.. (2021). Motion estimation in hazy videos. Pattern Recognition Letters. 150. 130–138. 9 indexed citations
6.
Mahajan, Abhishek, et al.. (2020). Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation. Journal of Digital Imaging. 33(3). 678–684. 64 indexed citations
7.
Gogoi, Manashjit, et al.. (2020). Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image. International Journal of E-Health and Medical Communications. 12(1). 34–45. 9 indexed citations
8.
Baheti, Bhakti, Sanjay N. Talbar, & Suhas Gajre. (2019). A Training-Free Approach for Generic Object Detection. IETE Journal of Research. 68(1). 482–495. 2 indexed citations
9.
Talbar, Sanjay N., et al.. (2018). Knee Articular Cartilage Segmentation from MR Images. ACM Computing Surveys. 51(5). 1–29. 21 indexed citations
10.
Talbar, Sanjay N., et al.. (2017). Local gray level S-curve transformation – A generalized contrast enhancement technique for medical images. Computers in Biology and Medicine. 83. 120–133. 60 indexed citations
11.
Baheti, Bhakti, Ujjwal Baid, & Sanjay N. Talbar. (2016). An approach to automatic object tracking system by combination of SIFT and RANSAC with mean shift and KLT. 254–259. 11 indexed citations
12.
Talbar, Sanjay N., et al.. (2016). A Novel Illumination Invariant Face Recognition Method Based on PCA and WPD Using YCbCr Color Space. Procedia Computer Science. 92. 181–187. 7 indexed citations
13.
14.
Talbar, Sanjay N., et al.. (2012). Face recognition using Oriented Laplacian of Gaussian (OLOG) and Independent Component Analysis (ICA). 99–103. 10 indexed citations
15.
Talbar, Sanjay N., et al.. (2011). Image adaptive watermarking using fuzzy logic on FPGA. 154–159. 2 indexed citations
16.
Talbar, Sanjay N., et al.. (2010). Hybrid machine learning approach for object recognition: fusion of features and decisions. 19(4). 411–428. 1 indexed citations
17.
Talbar, Sanjay N., et al.. (2009). A robust digital watermarking using DWT and DCT. 28–28.
18.
Talbar, Sanjay N., et al.. (2009). Dynamic iris localisation: A novel approach suitable for fake iris detection. 1–5. 18 indexed citations
19.
Talbar, Sanjay N., et al.. (2008). Iris Recognition Using Rotational Complex Wavelet Filters: A novel approach. 1. 658–662. 1 indexed citations
20.
Karande, Kailash J. & Sanjay N. Talbar. (2007). Simplified and modified approach for face recognition using PCA. 523–526. 3 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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