Sushmita Datta

1.2k total citations
27 papers, 933 citations indexed

About

Sushmita Datta is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pathology and Forensic Medicine. According to data from OpenAlex, Sushmita Datta has authored 27 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Sushmita Datta's work include Medical Image Segmentation Techniques (13 papers), Multiple Sclerosis Research Studies (9 papers) and Ultrasound Imaging and Elastography (6 papers). Sushmita Datta is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Multiple Sclerosis Research Studies (9 papers) and Ultrasound Imaging and Elastography (6 papers). Sushmita Datta collaborates with scholars based in United States, India and Switzerland. Sushmita Datta's co-authors include Ponnada A. Narayana, Jerry S. Wolinsky, Renjie He, Balasrinivasa R. Sajja, Flavia Nelson, Guozhi Tao, Rakesh Gupta, Gary Cutter, Fred Lublin and Khader M. Hasan and has published in prestigious journals such as PLoS ONE, NeuroImage and Human Brain Mapping.

In The Last Decade

Sushmita Datta

27 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sushmita Datta United States 17 539 342 193 139 136 27 933
Navid Shiee United States 15 628 1.2× 671 2.0× 257 1.3× 187 1.3× 182 1.3× 25 1.4k
Arzu Öztürk United States 16 401 0.7× 365 1.1× 109 0.6× 98 0.7× 81 0.6× 35 945
Blake E. Dewey United States 20 314 0.6× 694 2.0× 303 1.6× 103 0.7× 81 0.6× 59 1.3k
Annemie Ribbens Belgium 14 253 0.5× 265 0.8× 92 0.5× 114 0.8× 77 0.6× 37 752
Marita Daams Netherlands 19 875 1.6× 436 1.3× 97 0.5× 207 1.5× 219 1.6× 23 1.4k
Eloy Roura Spain 11 171 0.3× 208 0.6× 297 1.5× 226 1.6× 65 0.5× 18 666
Melissa Cambron Belgium 14 495 0.9× 187 0.5× 49 0.3× 231 1.7× 115 0.8× 40 1.0k
Sergi Valverde Spain 17 306 0.6× 381 1.1× 554 2.9× 448 3.2× 66 0.5× 29 1.2k
Loredana Storelli Italy 13 315 0.6× 160 0.5× 76 0.4× 95 0.7× 66 0.5× 37 501
Mário João Fartaria Switzerland 14 307 0.6× 229 0.7× 48 0.2× 86 0.6× 68 0.5× 26 568

Countries citing papers authored by Sushmita Datta

Since Specialization
Citations

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

Fields of papers citing papers by Sushmita Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushmita Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Sushmita Datta. A scholar is included among the top collaborators of Sushmita Datta 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 Sushmita Datta. Sushmita Datta 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.
Murray, Kristy O., Melissa S. Nolan, Shannon E. Ronca, et al.. (2018). The Neurocognitive and MRI Outcomes of West Nile Virus Infection: Preliminary Analysis Using an External Control Group. Frontiers in Neurology. 9. 111–111. 34 indexed citations
2.
Sujit, Sheeba J., Refaat E. Gabr, Ivan Coronado, et al.. (2018). Automated Image Quality Evaluation of Structural Brain Magnetic Resonance Images using Deep Convolutional Neural Networks. 33–36. 8 indexed citations
3.
Datta, Sushmita, et al.. (2015). Regional gray matter atrophy in relapsing remitting multiple sclerosis: Baseline analysis of multi-center data. Multiple Sclerosis and Related Disorders. 4(2). 124–136. 27 indexed citations
4.
Govindarajan, Koushik A., Sushmita Datta, Khader M. Hasan, et al.. (2015). Effect of in‐painting on cortical thickness measurements in multiple sclerosis: A large cohort study. Human Brain Mapping. 36(10). 3749–3760. 14 indexed citations
5.
Nelson, Flavia, Aziz H. Poonawalla, Sushmita Datta, Jerry S. Wolinsky, & Ponnada A. Narayana. (2013). Is 3D MPRAGE better than the combination DIR/PSIR for cortical lesion detection at 3 T MRI?. Multiple Sclerosis and Related Disorders. 3(2). 253–257. 14 indexed citations
6.
Datta, Sushmita & Ponnada A. Narayana. (2013). A comprehensive approach to the segmentation of multichannel three-dimensional MR brain images in multiple sclerosis. NeuroImage Clinical. 2. 184–196. 32 indexed citations
7.
Narayana, Ponnada A., et al.. (2013). Hypoperfusion and T1-hypointense lesions in white matter in multiple sclerosis. Multiple Sclerosis Journal. 20(3). 365–373. 42 indexed citations
8.
Narayana, Ponnada A., Koushik A. Govindarajan, Sushmita Datta, et al.. (2012). Regional cortical thickness in relapsing remitting multiple sclerosis: A multi-center study. NeuroImage Clinical. 2. 120–131. 72 indexed citations
9.
Datta, Sushmita & Ponnada A. Narayana. (2011). Automated brain extraction from T2‐weighted magnetic resonance images. Journal of Magnetic Resonance Imaging. 33(4). 822–829. 9 indexed citations
10.
11.
Yu, Xintian, Yanjie Zhang, Robert E. Lasky, et al.. (2010). Comprehensive Brain MRI Segmentation in High Risk Preterm Newborns. PLoS ONE. 5(11). e13874–e13874. 35 indexed citations
12.
Narayana, Ponnada A., Sushmita Datta, Guozhi Tao, Joel L. Steinberg, & F. Gerard Moeller. (2010). Effect of cocaine on structural changes in brain: MRI volumetry using tensor-based morphometry. Drug and Alcohol Dependence. 111(3). 191–199. 34 indexed citations
13.
Tao, Guozhi, Renjie He, Sushmita Datta, & Ponnada A. Narayana. (2009). Symmetric inverse consistent nonlinear registration driven by mutual information. Computer Methods and Programs in Biomedicine. 95(2). 105–115. 18 indexed citations
14.
Datta, Sushmita, Guozhi Tao, Renjie He, Jerry S. Wolinsky, & Ponnada A. Narayana. (2009). Improved cerebellar tissue classification on magnetic resonance images of brain. Journal of Magnetic Resonance Imaging. 29(5). 1035–1042. 12 indexed citations
15.
Tao, Guozhi, Sushmita Datta, Renjie He, et al.. (2009). Deep gray matter atrophy in multiple sclerosis: A tensor based morphometry. Journal of the Neurological Sciences. 282(1-2). 39–46. 71 indexed citations
16.
He, Renjie, Sushmita Datta, Balasrinivasa R. Sajja, & Ponnada A. Narayana. (2008). Generalized fuzzy clustering for segmentation of multi-spectral magnetic resonance images. Computerized Medical Imaging and Graphics. 32(5). 353–366. 30 indexed citations
17.
Tao, Guozhi, Renjie He, Sushmita Datta, & Ponnada A. Narayana. (2008). Mutual information driven Inverse Consistent nonlinear registration. PubMed. 18. 3957–3960. 2 indexed citations
18.
He, Renjie, Balasrinivasa R. Sajja, Sushmita Datta, & Ponnada A. Narayana. (2008). Volume and Shape in Feature Space on Adaptive FCM in MRI Segmentation. Annals of Biomedical Engineering. 36(9). 1580–1593. 9 indexed citations
19.
Datta, Sushmita, Balasrinivasa R. Sajja, Renjie He, et al.. (2007). Segmentation of gadolinium‐enhanced lesions on MRI in multiple sclerosis. Journal of Magnetic Resonance Imaging. 25(5). 932–937. 35 indexed citations
20.
Datta, Sushmita, Balasrinivasa R. Sajja, Renjie He, et al.. (2005). Segmentation and quantification of black holes in multiple sclerosis. NeuroImage. 29(2). 467–474. 65 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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