Sushant Agarwal

1.0k total citations
27 papers, 255 citations indexed

About

Sushant Agarwal is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Sushant Agarwal has authored 27 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Surgery. Recurrent topics in Sushant Agarwal's work include COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Renal cell carcinoma treatment (2 papers). Sushant Agarwal is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Renal cell carcinoma treatment (2 papers). Sushant Agarwal collaborates with scholars based in India, United States and Italy. Sushant Agarwal's co-authors include Mira Mitra, Luca Saba, Jasjit S. Suri, Mostafa Fatemi, Amer M. Johri, Suneet Gupta, Monika Agarwal, Ruchika Singh, Klaudija Višković and Ayman El‐Baz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Smart Materials and Structures.

In The Last Decade

Sushant Agarwal

23 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sushant Agarwal India 8 62 61 55 43 41 27 255
Chuanbo Wang China 9 50 0.8× 58 1.0× 10 0.2× 22 0.5× 18 0.4× 33 440
Zelong Liu China 10 104 1.7× 141 2.3× 15 0.3× 17 0.4× 38 0.9× 27 355
Chao Huang China 12 36 0.6× 14 0.2× 20 0.4× 30 0.7× 140 3.4× 64 563
Li Lin China 12 73 1.2× 201 3.3× 12 0.2× 30 0.7× 13 0.3× 46 354
Yinglai Liu China 8 74 1.2× 28 0.5× 7 0.1× 29 0.7× 7 0.2× 17 273
Madhusudhan Mishra India 9 107 1.7× 38 0.6× 7 0.1× 8 0.2× 6 0.1× 23 400
Jürgen Herp Denmark 12 65 1.0× 64 1.0× 19 0.3× 39 0.9× 20 0.5× 25 362
Minjie Feng United States 8 36 0.6× 7 0.1× 39 0.7× 56 1.3× 10 0.2× 17 374

Countries citing papers authored by Sushant Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Sushant Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushant Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Sushant Agarwal. A scholar is included among the top collaborators of Sushant Agarwal 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 Sushant Agarwal. Sushant Agarwal 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.
Agarwal, Sushant, et al.. (2024). Imaging in Neurotuberculosis. 3(2). 135–149. 1 indexed citations
2.
Agarwal, Sushant, Alessandro Carriero, R. Gobinath, et al.. (2024). COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers in Artificial Intelligence. 7. 1304483–1304483. 2 indexed citations
3.
Agarwal, Sushant, et al.. (2024). Coexistence of neural tube defects and spinal arteriovenous shunts: a case series and review of literature. Child s Nervous System. 40(11). 3487–3497.
4.
Gaikwad, Shailesh, et al.. (2024). Endovascular Treatment of Mycotic Intracranial Aneurysms: A Series of Three Cases with Institutional Treatment Algorithm. Asian Journal of Neurosurgery. 19(4). 618–625.
5.
Singh, Vivek K., et al.. (2024). Preoperative Super-Selective Embolization versus “On-Clamp” Laparoscopic Partial Nephrectomy for T1 Renal Tumors— A Prospective Randomized Study. SHILAP Revista de lepidopterología. 11(2). 18–26. 1 indexed citations
6.
7.
Agarwal, Sushant, et al.. (2022). Anatomical Variations of Cystic Ducts in Magnetic Resonance Cholangiopancreatography: A Retrospective Study With 265 Patients. International Journal of Anatomy and Research. 10(3). 8391–8397. 1 indexed citations
8.
9.
Manoj, M, et al.. (2022). Isolated Medullary Tumefactive Demyelination Masquerading as Tumor. Annals of Indian Academy of Neurology. 25(2). 261–262.
10.
Agarwal, Sushant & Amit Deshpande. (2022). On the Power of Randomization in Fair Classification and Representation. 2 indexed citations
11.
Suri, Jasjit S., Sushant Agarwal, Biswajit Jena, et al.. (2022). Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai)Bias 2.0: A Systematic Review. IEEE Transactions on Instrumentation and Measurement. 1–1. 15 indexed citations
12.
Suri, Jasjit S., Sushant Agarwal, Suneet Gupta, et al.. (2021). Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE Journal of Biomedical and Health Informatics. 25(11). 4128–4139. 33 indexed citations
13.
Sanagala, Siva Skandha, Andrew Nicolaides, Suneet Kumar Gupta, et al.. (2021). Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification. Diagnostics. 11(11). 2109–2109. 29 indexed citations
14.
Agarwal, Sushant, et al.. (2018). Assessment of diagnostic reference level in radiography of neonatal chest anteroposterior examination: A hospital-based study. Journal of Medical Physics. 43(3). 200–200. 6 indexed citations
15.
Agarwal, Sushant, et al.. (2018). CERVICAL RIBS: A STUDY ON RADIOGRAPHS IN A TERTIARY CARE HOSPITAL OF ASSAM. International Journal of Anatomy and Research. 6(1.3). 4994–4998. 2 indexed citations
16.
Agarwal, Sushant, et al.. (2015). A rare variety of ischiopagus tetrapus conjoined twins. European Journal of Anatomy. 19(2). 201–203. 1 indexed citations
17.
Agarwal, Sushant & Mira Mitra. (2014). Lamb wave based damage detection using Matching Pursuit and Support Vector Machine classifier. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9064. 906424–906424. 2 indexed citations
18.
Chaturvedi, D. K., et al.. (2013). Annual Rainfall Prediction Using Neuro-Fuzzy and Wavelet Approach. 4(1a). 16–16. 1 indexed citations
19.
Rath, GK, et al.. (2000). A study of concurrent radiochemotherapy with paclitaxel in glioblastoma multiforme. Australasian Radiology. 44(1). 84–87. 7 indexed citations
20.
Shazeer, Noam, et al.. (1999). Proverb: the probabilistic cruciverbalist. National Conference on Artificial Intelligence. 710–717. 23 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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