Deepti Mittal

1.0k total citations
33 papers, 724 citations indexed

About

Deepti Mittal is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Deepti Mittal has authored 33 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Deepti Mittal's work include AI in cancer detection (10 papers), Retinal Imaging and Analysis (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Deepti Mittal is often cited by papers focused on AI in cancer detection (10 papers), Retinal Imaging and Analysis (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Deepti Mittal collaborates with scholars based in India and Germany. Deepti Mittal's co-authors include Jaskirat Kaur, Madhup Kumar Mittal, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal, Ashish Aggarwal, Ramesh Kumar Sunkaria, Kanika Sharma, Ruchi Singla and Lakhan Dev Sharma and has published in prestigious journals such as Archives of Computational Methods in Engineering, The Computer Journal and Computers & Electrical Engineering.

In The Last Decade

Deepti Mittal

32 papers receiving 704 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Deepti Mittal 503 270 239 143 67 33 724
Sertan Serte 733 1.5× 447 1.7× 263 1.1× 139 1.0× 36 1.0k
Alexandra Nikita 203 0.4× 236 0.9× 190 0.8× 4 0.0× 82 1.2× 16 564
Daniel Kermany 514 1.0× 343 1.3× 137 0.6× 86 0.6× 8 641
Zhibin Liao 352 0.7× 249 0.9× 124 0.5× 3 0.0× 10 0.1× 50 750
Enas M. F. El Houby 270 0.5× 347 1.3× 111 0.5× 11 0.1× 3 0.0× 17 509
Lisa Di Jorio 163 0.3× 102 0.4× 133 0.6× 6 0.0× 26 0.4× 9 319
Antônio Oseas de Carvalho Filho 621 1.2× 343 1.3× 199 0.8× 102 0.7× 45 816
Joaquim de Moura 506 1.0× 149 0.6× 88 0.4× 249 1.7× 68 604
Ali Serener 361 0.7× 134 0.5× 140 0.6× 175 1.2× 31 489
Michael Pekala 406 0.8× 103 0.4× 112 0.5× 334 2.3× 16 575

Countries citing papers authored by Deepti Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Mittal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepti Mittal. A scholar is included among the top collaborators of Deepti Mittal 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 Deepti Mittal. Deepti Mittal 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.
Mittal, Deepti, et al.. (2021). Feature based CT image registration of liver cancer. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 236(1). 3–11. 2 indexed citations
2.
Mittal, Deepti, et al.. (2020). A deep learning approach to detect Covid-19 coronavirus with X-Ray images. Journal of Applied Biomedicine. 40(4). 1391–1405. 210 indexed citations
3.
Kaur, Jaskirat & Deepti Mittal. (2020). Construction of benchmark retinal image database for diabetic retinopathy analysis. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 234(9). 1036–1048. 1 indexed citations
4.
Mittal, Deepti, et al.. (2020). Ensembled liver cancer detection and classification using CT images. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 235(2). 232–244. 28 indexed citations
5.
Mittal, Deepti, et al.. (2019). Effective segmentation and classification of tumor on liver MRI and CT images using multi-kernel K-means clustering. Biomedizinische Technik/Biomedical Engineering. 65(3). 301–313. 16 indexed citations
6.
Sunkaria, Ramesh Kumar, et al.. (2019). Ultrasound Image Despeckling and Enhancement using Modified Multiscale Anisotropic Diffusion Model in Non-Subsampled Shearlet Domain. The Computer Journal. 64(12). 1785–1800. 4 indexed citations
7.
Mittal, Deepti, et al.. (2018). Preliminary Study of Chronic Liver Classification on Ultrasound Images Using an Ensemble Model. Ultrasonic Imaging. 40(6). 357–379. 43 indexed citations
8.
Mittal, Deepti, et al.. (2018). Characterization of chronic liver disease based on ultrasound images using the variants of grey-level difference matrix. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 232(9). 884–900. 5 indexed citations
9.
Kaur, Jaskirat & Deepti Mittal. (2018). Estimation of severity level of non-proliferative diabetic retinopathy for clinical aid. Journal of Applied Biomedicine. 38(3). 708–732. 11 indexed citations
10.
Kaur, Jaskirat & Deepti Mittal. (2017). A generalized method for the detection of vascular structure in pathological retinal images. Journal of Applied Biomedicine. 37(1). 184–200. 34 indexed citations
11.
Mittal, Deepti, et al.. (2016). Enhancement of CT Images by Modified Object Based Contrast Stretching. 3(1). 68. 1 indexed citations
12.
Mittal, Deepti, et al.. (2016). Detection and Classification of Focal Liver Lesions using Support Vector Machine Classifiers. 3(1). 21. 9 indexed citations
13.
14.
Sharma, Lakhan Dev, et al.. (2016). Comparative study of fetal ECG elicitation using adaptive filtering techniques. 68–72. 7 indexed citations
15.
Sharma, Kanika & Deepti Mittal. (2015). Contrast Enhancement Technique for CT Images. 2(1). 44. 5 indexed citations
16.
Mittal, Deepti, et al.. (2015). Automated Drusen Detection Technique for Age-Related Macular Degeneration. 2(1). 18. 10 indexed citations
17.
18.
Mittal, Deepti, et al.. (2015). Segmentation of Liver from Abdomen CT images and 3D Visualization. 2(5). 3 indexed citations
19.
Mittal, Deepti, et al.. (2011). Neural network based focal liver lesion diagnosis using ultrasound images. Computerized Medical Imaging and Graphics. 35(4). 315–323. 67 indexed citations
20.
Mittal, Deepti, et al.. (2010). Enhancement of the ultrasound images by modified anisotropic diffusion method. Medical & Biological Engineering & Computing. 48(12). 1281–1291. 63 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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