Tarun Agrawal

425 total citations
26 papers, 257 citations indexed

About

Tarun Agrawal is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Tarun Agrawal has authored 26 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in Tarun Agrawal's work include COVID-19 diagnosis using AI (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (5 papers). Tarun Agrawal is often cited by papers focused on COVID-19 diagnosis using AI (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (5 papers). Tarun Agrawal collaborates with scholars based in India, United Kingdom and Egypt. Tarun Agrawal's co-authors include Prakash Choudhary, Anjan Kumar, Prabhishek Singh, Manoj Diwakar, Subhasis Chaudhuri, Achyut Shankar, Sandeep Kumar, Vijay Kumar, Gaurav Sharma and Pooja Aggarwal and has published in prestigious journals such as Scientific Reports, Biomedical Signal Processing and Control and The Visual Computer.

In The Last Decade

Tarun Agrawal

22 papers receiving 239 citations

Peers

Tarun Agrawal

RNMI

CVPR

EEE

NEURO

D. Narain Ponraj India

Antônio Carlos da Silva Barros Brazil

Yar Muhammad Pakistan

Basma Abd El-Rahiem Egypt

Mohemmed Sha Saudi Arabia

Muhammad Sohail Khan Pakistan

Huadeng Wang China

Bunil Kumar Balabantaray India

Arpan Basu India

Kwabena Adu Ghana

D. Narain Ponraj India

Tarun Agrawal

106 ×0.9

RNMI

137 ×1.7

83 ×1.2

CVPR

23 ×0.5

EEE

41 ×1.0

NEURO

Citations per year, relative to Tarun Agrawal Tarun Agrawal (= 1×) peers D. Narain Ponraj

Countries citing papers authored by Tarun Agrawal

Since Specialization

Citations

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

Fields of papers citing papers by Tarun Agrawal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarun Agrawal

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

All Works

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20 of 20 papers shown

Johri, Prashant, Ahmed Elbeltagi, Ali Salem, et al.. (2025). Enhanced residual-attention deep neural network for disease classification in maize leaf images. Scientific Reports. 15(1). 29452–29452.

Choudhary, Prakash, et al.. (2024). HCN: Hybrid Capsule Network for Fetal Plane Classification in Ultrasound Images. International Journal of Imaging Systems and Technology. 34(4). 3 indexed citations

Agrawal, Tarun, Prakash Choudhary, Vijay Kumar, et al.. (2024). A comparative study of brain tumor classification on unbalanced dataset using deep neural networks. Biomedical Signal Processing and Control. 94. 106256–106256. 13 indexed citations

Kumar, Yogendra, et al.. (2024). Emergency Communication Architecture for Catastrophic Events: A Hybrid Approach. 1–6.

Agrawal, Tarun, Prakash Choudhary, Achyut Shankar, Prabhishek Singh, & Manoj Diwakar. (2023). MultiFeNet: Multi‐scale feature scaling in deep neural network for the brain tumour classification in MRI images. International Journal of Imaging Systems and Technology. 34(1). 28 indexed citations

Agrawal, Tarun & Prakash Choudhary. (2023). COVID-SegNet: encoder–decoder-based architecture for COVID-19 lesion segmentation in chest X-ray. Multimedia Systems. 29(4). 2111–2124. 6 indexed citations

Agrawal, Tarun & Prakash Choudhary. (2023). ReSE‐Net: Enhanced UNet architecture for lung segmentation in chest radiography images. Computational Intelligence. 39(3). 456–477. 2 indexed citations

Gupta, Jyoti, Tarun Agrawal, Prabhishek Singh, & Manoj Diwakar. (2023). Optical Biosensor for Early Diagnosis of Cancer. 1–5. 1 indexed citations

Choudhary, Prakash, et al.. (2022). OWAE-Net: COVID-19 detection from ECG images using deep learning and optimized weighted average ensemble technique. Intelligent Systems with Applications. 16. 200154–200154. 10 indexed citations

10.

Agrawal, Tarun & Prakash Choudhary. (2022). Segmentation and classification on chest radiography: a systematic survey. The Visual Computer. 39(3). 875–913. 55 indexed citations

11.

Agrawal, Tarun & Prakash Choudhary. (2022). EfficientUNet: Modified encoder‐decoder architecture for the lung segmentation in chest x‐ray images. Expert Systems. 39(8). 4 indexed citations

12.

Agrawal, Tarun & Prakash Choudhary. (2022). ALCNN: Attention based lightweight convolutional neural network for pneumothorax detection in chest X-rays. Biomedical Signal Processing and Control. 79. 104126–104126. 10 indexed citations

13.

Agrawal, Tarun & Prakash Choudhary. (2021). FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images. Evolving Systems. 13(4). 519–533. 55 indexed citations

14.

Agrawal, Tarun & Prakash Choudhary. (2021). Automated COVID-19 detection using Deep Convolutional Neural Network and Chest X-ray Images. 25. 277–281.

15.

Agrawal, Tarun, et al.. (2018). LVCMOS Based 4-Bit Register. 1–3. 3 indexed citations

16.

Kumar, Anjan, et al.. (2016). A Designing of Random Access Memory Using Different IO Standard Technology. 1–8. 2 indexed citations

17.

Agrawal, Tarun, et al.. (2016). A Future Communication Technology: 5G. International Journal of Future Generation Communication and Networking. 9(1). 303–310. 11 indexed citations

18.

Agrawal, Tarun, et al.. (2015). Designing of Power Efficient ROM Using LVTTL and Mobile-DDR IO Standard on 28nm FPGA. 1334–1337. 6 indexed citations

19.

Agrawal, Tarun. (2015). A Survey On Information Hiding Technique Digital Watermarking. 3(8). 1 indexed citations

20.

Chaudhuri, Subhasis, et al.. (2001). Simultaneous Tracking of Both Hands by Estimation of Erroneous Observations. 10.1–10.10. 18 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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