Arjun Desai

892 total citations
24 papers, 390 citations indexed

About

Arjun Desai is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Rheumatology. According to data from OpenAlex, Arjun Desai has authored 24 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Surgery and 6 papers in Rheumatology. Recurrent topics in Arjun Desai's work include Osteoarthritis Treatment and Mechanisms (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced MRI Techniques and Applications (4 papers). Arjun Desai is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced MRI Techniques and Applications (4 papers). Arjun Desai collaborates with scholars based in United States, India and United Kingdom. Arjun Desai's co-authors include H. M. Dastur, Akshay Chaudhari, Brian A. Hargreaves, Garry E. Gold, Robert D. Boutin, Kathryn J. Stevens, Jeff Wood, Jin Hyung Lee, Zhongnan Fang and Amit Chakraborty and has published in prestigious journals such as Brain, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Arjun Desai

22 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arjun Desai United States	11	187	111	103	64	63	24	390
Zhaoyan Feng China	13	63 0.3×	322 2.9×	72 0.7×	34 0.5×	22 0.3×	24	494
Kui Zhao China	11	294 1.6×	137 1.2×	26 0.3×	14 0.2×	26 0.4×	29	612
Fu‐Yu Lin Taiwan	11	163 0.9×	38 0.3×	20 0.2×	19 0.3×	18 0.3×	26	262
Mark T. Yoshino United States	10	96 0.5×	76 0.7×	11 0.1×	55 0.9×	24 0.4×	21	319
Ioana Andreea Gheonea Romania	9	61 0.3×	105 0.9×	34 0.3×	9 0.1×	53 0.8×	47	327
M A Stull United States	9	250 1.3×	80 0.7×	151 1.5×	72 1.1×	15 0.2×	28	553
Sumeet G. Dua India	9	67 0.4×	104 0.9×	42 0.4×	8 0.1×	15 0.2×	47	273
Toshikazu Nambu Japan	8	345 1.8×	39 0.4×	32 0.3×	60 0.9×	9 0.1×	13	478
Evangelia E. Vassalou Greece	11	218 1.2×	136 1.2×	34 0.3×	6 0.1×	47 0.7×	46	410
Wadim Wojciechowski Poland	11	113 0.6×	62 0.6×	114 1.1×	3 0.0×	60 1.0×	59	382

Countries citing papers authored by Arjun Desai

Since Specialization

Citations

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

Fields of papers citing papers by Arjun Desai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Desai

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun Desai. A scholar is included among the top collaborators of Arjun Desai 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 Arjun Desai. Arjun Desai 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

Santini, Francesco, Jakob Wasserthal, Abramo Agosti, et al.. (2025). Deep Anatomical Federated Network (Dafne): An Open Client-Server Framework for Continuous, Collaborative Improvement of Deep Learning–based Medical Image Segmentation. Radiology Artificial Intelligence. 7(3). e240097–e240097. 2 indexed citations

Wiesinger, Florian, Valentina Pedoia, Sharmila Majumdar, et al.. (2025). Rapid and robust quantitative cartilage assessment for the clinical setting: deep learning-enhanced accelerated T2 mapping. Skeletal Radiology. 55(2). 401–413.

Williams, Ashley, Jessica L. Asay, Arjun Desai, et al.. (2024). Reproducibility of Quantitative Double‐Echo Steady‐State T₂ Mapping of Knee Cartilage. Journal of Magnetic Resonance Imaging. 61(2). 784–795. 3 indexed citations

Gatti, Anthony A., Katherine A. Young, Arjun Desai, et al.. (2024). T₂ Clusters Are More Sensitive Than Mean T₂ Change to Detect Early and Longitudinal Changes in Anterior Cruciate Ligament Reconstructed and Healthy Knees. Journal of Magnetic Resonance Imaging. 61(6). 2615–2629.

Desai, Arjun, Rajeev Reddy Pappuru, & Mudit Tyagi. (2024). Ten-year results of scleral-fixated intraocular lens implantation: outcomes of ab externo scleral fixation with 10-0 polypropylene suture. Journal of Cataract & Refractive Surgery. 50(2). 128–133. 1 indexed citations

Goel, Karan, Arjun Desai, Lingjiao Chen, et al.. (2024). Model ChangeLists: Characterizing Updates to ML Models. 2432–2453. 1 indexed citations

Desai, Arjun, Beliz Gunel, Garry E. Gold, et al.. (2023). Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning. Bioengineering. 10(2). 207–207. 12 indexed citations

Wentland, Andrew L., Arjun Desai, Imon Banerjee, et al.. (2023). Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach. Scientific Reports. 13(1). 20 indexed citations

Barbieri, Marco, Valentina Mazzoli, Arjun Desai, et al.. (2023). $$B_1$$ Field inhomogeneity correction for qDESS $$T_2$$ mapping: application to rapid bilateral knee imaging. Magnetic Resonance Materials in Physics Biology and Medicine. 36(5). 711–724. 1 indexed citations

10.

Desai, Arjun, Andrew H. Schmidt, Christopher M. Sandino, et al.. (2023). SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 14 indexed citations

11.

Desai, Arjun, Valentina Mazzoli, Kun Lu, et al.. (2022). Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry. Journal of Magnetic Resonance Imaging. 57(4). 1029–1039. 18 indexed citations

12.

Desai, Arjun. (2021). The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge:A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. Research at the University of Copenhagen (University of Copenhagen). 59 indexed citations

13.

Desai, Arjun, et al.. (2020). A Simplified Method For Estimating Cooling Energy Savings Due To Passive Strategies For Indian Cities. Building Simulation Conference proceedings. 16. 2714–2720. 1 indexed citations

14.

Mazzoli, Valentina, Arjun Desai, Feliks Kogan, et al.. (2019). GagCEST MRI at 3T can detect cartilage differences between healthy and osteoarthritic subjects. Osteoarthritis and Cartilage. 27. S355–S356. 1 indexed citations

15.

Desai, Arjun, Marco Barbieri, Valentina Mazzoli, et al.. (2019). DOSMA: A deep-learning, open-source framework for musculoskeletal MRI analysis. Figshare. 5 indexed citations

16.

Stroman, Luke, Rajesh Nair, Beth Russell, et al.. (2019). The impact of non‐urothelial variant histology on oncological outcomes following radical cystectomy. British Journal of Urology. 124(3). 418–423. 18 indexed citations

17.

Chaudhari, Akshay, Kathryn J. Stevens, Jeff Wood, et al.. (2019). Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers. Journal of Magnetic Resonance Imaging. 51(3). 768–779. 55 indexed citations

18.

Desai, Arjun, Chunlei Peng, Leyuan Fang, et al.. (2018). Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging. Biomedical Optics Express. 9(12). 6038–6038. 7 indexed citations

19.

Dastur, H. M. & Arjun Desai. (1965). A COMPARTIVE STUDY OF BRAIN TUBERCULOMAS AND GLIOMAS BASED UPON 107 CASE RECORDS OF EACH. Brain. 88(2). 375–396. 119 indexed citations

20.

Dastur, H. M., Arjun Desai, & D. K. Dastur. (1962). A cystic cerebral tuberculoma treated surgically. Journal of Neurology Neurosurgery & Psychiatry. 25(4). 370–373. 15 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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