S. J. Pawan

401 total citations
12 papers, 235 citations indexed

About

S. J. Pawan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, S. J. Pawan has authored 12 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Neurology. Recurrent topics in S. J. Pawan's work include Advanced Neural Network Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Image Segmentation Techniques (3 papers). S. J. Pawan is often cited by papers focused on Advanced Neural Network Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Image Segmentation Techniques (3 papers). S. J. Pawan collaborates with scholars based in India and United States. S. J. Pawan's co-authors include Jeny Rajan, M. Anand Kumar, Chandrasekharan Kesavadas, Kapal Dev, Anubhav Jain, M. Venkatesan, Abhishek Kothari, Vinay Duddalwar, Mihir Desai and Xiaomeng Lei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

S. J. Pawan

10 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. J. Pawan India	6	118	79	57	54	38	12	235
Zhuoyuan Li China	6	89 0.8×	121 1.5×	101 1.8×	54 1.0×	34 0.9×	12	301
Raghav Mehta India	7	99 0.8×	91 1.2×	68 1.2×	53 1.0×	32 0.8×	13	245
Nagaraj Yamanakkanavar South Korea	6	147 1.2×	76 1.0×	103 1.8×	164 3.0×	38 1.0×	10	323
Xuechen Li China	8	62 0.5×	133 1.7×	85 1.5×	60 1.1×	27 0.7×	16	251
Ivan Coronado United States	8	84 0.7×	145 1.8×	56 1.0×	98 1.8×	58 1.5×	12	330
Maria Inês Meyer Belgium	5	177 1.5×	220 2.8×	88 1.5×	25 0.5×	42 1.1×	5	368
Inas A. Yassine Egypt	9	77 0.7×	150 1.9×	63 1.1×	50 0.9×	60 1.6×	33	394
Tongtong Che China	11	67 0.6×	146 1.8×	68 1.2×	44 0.8×	41 1.1×	22	313
Orhun Utku Aydin Germany	7	152 1.3×	151 1.9×	55 1.0×	74 1.4×	61 1.6×	16	417
Xiuchao Sui Singapore	5	165 1.4×	82 1.0×	57 1.0×	33 0.6×	23 0.6×	7	265

Countries citing papers authored by S. J. Pawan

Since Specialization

Citations

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

Fields of papers citing papers by S. J. Pawan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Pawan. 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 S. J. Pawan. The network helps show where S. J. Pawan may publish in the future.

Co-authorship network of co-authors of S. J. Pawan

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

All Works

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12 of 12 papers shown

Pawan, S. J., A. Ian Smith, Darryl Hwang, et al.. (2025). Analyzing foundation models for segmentation of osseous metastatic lesions in prostate cancer on CT scans. 5. 100058–100058.

Pawan, S. J., Xiaomeng Lei, Mihir Desai, et al.. (2025). Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach. Multimodal Technologies and Interaction. 9(5). 49–49. 2 indexed citations

Pawan, S. J., Shahin Nazarian, Nicholas Heller, et al.. (2025). A Study on Energy Consumption in AI-Driven Medical Image Segmentation. Journal of Imaging. 11(6). 174–174.

Pawan, S. J., et al.. (2024). Artificial intelligence and radiomics applied to prostate cancer bone metastasis imaging: A review. SHILAP Revista de lepidopterología. 2(6). 527–538. 3 indexed citations

Pawan, S. J., et al.. (2023). WideCaps: a wide attention-based capsule network for image classification. Machine Vision and Applications. 34(4). 2 indexed citations

Pawan, S. J., et al.. (2023). A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image Segmentation. IEEE Transactions on Artificial Intelligence. 5(2). 556–565. 13 indexed citations

Pawan, S. J., et al.. (2022). Medical image segmentation with 3D convolutional neural networks: A survey. Neurocomputing. 493. 397–413. 83 indexed citations

Pawan, S. J., et al.. (2022). Semi-supervised structure attentive temporal mixup coherence for medical image segmentation. Journal of Applied Biomedicine. 42(4). 1149–1161. 3 indexed citations

Pawan, S. J. & Jeny Rajan. (2022). Capsule networks for image classification: A review. Neurocomputing. 509. 102–120. 28 indexed citations

10.

Pawan, S. J., et al.. (2021). Capsule Network–based architectures for the segmentation of sub-retinal serous fluid in optical coherence tomography images of central serous chorioretinopathy. Medical & Biological Engineering & Computing. 59(6). 1245–1259. 16 indexed citations

11.

Pawan, S. J., et al.. (2020). Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images. IEEE Journal of Biomedical and Health Informatics. 25(5). 1724–1734. 53 indexed citations

12.

Dev, Kapal, et al.. (2019). Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network. Biomedical Signal Processing and Control. 52. 218–225. 32 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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