Shadab Khan

826 total citations
24 papers, 489 citations indexed

About

Shadab Khan is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Shadab Khan has authored 24 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Information Systems. Recurrent topics in Shadab Khan's work include Fetal and Pediatric Neurological Disorders (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Software Reliability and Analysis Research (5 papers). Shadab Khan is often cited by papers focused on Fetal and Pediatric Neurological Disorders (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Software Reliability and Analysis Research (5 papers). Shadab Khan collaborates with scholars based in United States, India and United Arab Emirates. Shadab Khan's co-authors include Ali Gholipour, J. W. S. Macfie, Simon K. Warfield, Seyed Sadegh Mohseni Salehi, Deniz Erdoğmuş, Onur Afacan, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung and Jarallah S. AlGhamdi and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Shadab Khan

23 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shadab Khan United States 11 153 152 65 60 51 24 489
Rudaina Banihani Canada 8 97 0.6× 163 1.1× 64 1.0× 54 0.9× 15 0.3× 35 526
Takuya Watanabe Japan 8 13 0.1× 78 0.5× 32 0.5× 14 0.2× 53 1.0× 32 298
Yubo Tan China 12 21 0.1× 133 0.9× 19 0.3× 33 0.6× 70 1.4× 48 472
Ghada Zamzmi United States 16 181 1.2× 197 1.3× 6 0.1× 127 2.1× 32 0.6× 54 649
Volkan Tuzcu Türkiye 16 30 0.2× 35 0.2× 27 0.4× 26 0.4× 160 3.1× 68 851
Tae Hyun Kim South Korea 11 12 0.1× 19 0.1× 20 0.3× 48 0.8× 30 0.6× 30 426
Haseeb Hassan China 13 37 0.2× 166 1.1× 8 0.1× 93 1.6× 15 0.3× 45 514
Ting Cai China 9 19 0.1× 109 0.7× 4 0.1× 104 1.7× 19 0.4× 13 571
Andrew Moss United Kingdom 12 17 0.1× 21 0.1× 34 0.5× 25 0.4× 44 0.9× 25 383
Weimin Huang China 15 25 0.2× 52 0.3× 2 0.0× 60 1.0× 102 2.0× 61 571

Countries citing papers authored by Shadab Khan

Since Specialization
Citations

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

Fields of papers citing papers by Shadab Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shadab Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Shadab Khan. A scholar is included among the top collaborators of Shadab Khan 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 Shadab Khan. Shadab Khan 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.
Singh, Yash Veer, Shadab Khan, Santosh Kumar Shukla, & Ki‐Hyun Jung. (2022). Local-Moment-Driven Robust Reversible Data Hiding. Applied Sciences. 12(22). 11826–11826. 3 indexed citations
2.
Hayat, Nasir, et al.. (2022). Towards Robust and Reproducible Active Learning using Neural Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 223–232. 17 indexed citations
3.
4.
Machado‐Rivas, Fedel, Onur Afacan, Shadab Khan, et al.. (2021). Tractography of the Cerebellar Peduncles in Second- and Third-Trimester Fetuses. American Journal of Neuroradiology. 42(1). 194–200. 3 indexed citations
5.
Machado‐Rivas, Fedel, Onur Afacan, Shadab Khan, et al.. (2021). Spatiotemporal changes in diffusivity and anisotropy in fetal brain tractography. Human Brain Mapping. 42(17). 5771–5784. 20 indexed citations
6.
Karimi, Davood, Camilo Jaimes, Fedel Machado‐Rivas, et al.. (2021). Deep learning-based parameter estimation in fetal diffusion-weighted MRI. NeuroImage. 243. 118482–118482. 25 indexed citations
7.
Khan, Shadab, Yash Veer Singh, & Arun Kumar. (2021). An efficient edge preserving universal noise removal algorithm using kernel ridge regression. Multimedia Tools and Applications. 81(14). 19863–19877. 1 indexed citations
8.
Jaimes, Camilo, Fedel Machado‐Rivas, Onur Afacan, et al.. (2020). In vivo characterization of emerging white matter microstructure in the fetal brain in the third trimester. Human Brain Mapping. 41(12). 3177–3185. 30 indexed citations
9.
Sadiq, Mohd, et al.. (2020). Selection of software requirements using TOPSIS under fuzzy environment. International Journal of Computers and Applications. 44(6). 503–512. 9 indexed citations
10.
Khan, Shadab, et al.. (2020). Hypersensitivity Reaction after Transarterial Chemoembolization. Seminars in Interventional Radiology. 37(4). 426–429.
11.
Khan, Shadab, Lana Vasung, Caitlin K. Rollins, et al.. (2018). Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images. NeuroImage. 185. 593–608. 78 indexed citations
12.
Khan, Shadab, Caitlin K. Rollins, Cynthia M. Ortinau, et al.. (2018). Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging. Lecture notes in computer science. 11072. 28–35. 8 indexed citations
13.
Khan, Shadab, et al.. (2018). Location of appendix in pregnancy: does it change?. Clinical and Experimental Gastroenterology. Volume 11. 281–287. 6 indexed citations
14.
Salehi, Seyed Sadegh Mohseni, Shadab Khan, Deniz Erdoğmuş, & Ali Gholipour. (2018). Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. IEEE Transactions on Medical Imaging. 38(2). 470–481. 70 indexed citations
15.
Marami, Bahram, Benoît Scherrer, Shadab Khan, et al.. (2018). Motion‐robust diffusion compartment imaging using simultaneous multi‐slice acquisition. Magnetic Resonance in Medicine. 81(5). 3314–3329. 5 indexed citations
16.
Agarwal, Pankaj, et al.. (2015). Recent advancements in requirement elicitation and prioritization techniques. 237–240. 14 indexed citations
17.
Khan, Shadab, et al.. (2013). MDCT and MRI evaluation of cervical spine trauma. Insights into Imaging. 5(1). 67–75. 13 indexed citations
18.
Naydenov, Nayden G., et al.. (2013). Novel mechanism of cytokine-induced disruption of epithelial barriers. Tissue Barriers. 1(4). e25231–e25231. 26 indexed citations
19.
Sadiq, Mohd, et al.. (2011). Prediction of Software Project Effort Estimation: A Case Study. International Journal of Modeling and Optimization. 37–43. 3 indexed citations
20.
Sadiq, Mohd, et al.. (2011). Prediction of software project effort using fuzzy logic. i3#1. 353–358. 6 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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