Ajit Devaraj

853 total citations
18 papers, 633 citations indexed

About

Ajit Devaraj is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ajit Devaraj has authored 18 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ajit Devaraj's work include MRI in cancer diagnosis (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (6 papers). Ajit Devaraj is often cited by papers focused on MRI in cancer diagnosis (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (6 papers). Ajit Devaraj collaborates with scholars based in United States, Germany and Netherlands. Ajit Devaraj's co-authors include Banu Onaral, Scott C. Bunce, Meltem İzzetoğlu, James G. Pipe, Kambiz Pourrezaei, Ryan K. Robison, Kurtuluş İzzetoğlu, Hasan Ayaz, Tatjana Antic and Aytekin Oto and has published in prestigious journals such as Radiology, Magnetic Resonance in Medicine and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Ajit Devaraj

18 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajit Devaraj United States 10 471 212 149 86 85 18 633
Irvin Teh United Kingdom 19 629 1.3× 141 0.7× 211 1.4× 16 0.2× 184 2.2× 65 991
Yutaka Natsuaki United States 16 351 0.7× 49 0.2× 176 1.2× 62 0.7× 59 0.7× 37 738
Peter Andersen Denmark 10 473 1.0× 88 0.4× 146 1.0× 28 0.3× 36 0.4× 22 887
Chris A. Cocosco Germany 13 440 0.9× 79 0.4× 98 0.7× 41 0.5× 59 0.7× 19 835
Lucilio Cordero‐Grande United Kingdom 21 726 1.5× 50 0.2× 349 2.3× 151 1.8× 87 1.0× 78 1.4k
G.R. Crelier Switzerland 11 825 1.8× 47 0.2× 339 2.3× 64 0.7× 47 0.6× 19 1.2k
Jin Hyung Lee United States 13 392 0.8× 159 0.8× 275 1.8× 21 0.2× 12 0.1× 19 860
Ángel Torrado-Carvajal Spain 16 433 0.9× 201 0.9× 72 0.5× 15 0.2× 24 0.3× 50 790
Anders Stensgaard Denmark 9 168 0.4× 162 0.8× 93 0.6× 31 0.4× 35 0.4× 12 560
Samuel Powell United Kingdom 16 480 1.0× 448 2.1× 112 0.8× 8 0.1× 29 0.3× 45 676

Countries citing papers authored by Ajit Devaraj

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Devaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Devaraj

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

All Works

18 of 18 papers shown
1.
Lee, Grace, Aritrick Chatterjee, Milica Medved, et al.. (2022). Physically implausible signals as a quantitative quality assessment metric in prostate diffusion-weighted MR imaging. Abdominal Radiology. 47(7). 2500–2508. 3 indexed citations
2.
Pang, Yuxi, Dariya Malyarenko, Lisa J. Wilmes, et al.. (2022). Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias. Tomography. 8(1). 364–375. 2 indexed citations
3.
Chatterjee, Aritrick, Grace Lee, Mihai Giurcanu, et al.. (2022). Directional and inter‐acquisition variability in diffusion‐weighted imaging and editing for restricted diffusion. Magnetic Resonance in Medicine. 88(5). 2298–2310. 5 indexed citations
4.
Devaraj, Ajit, et al.. (2021). Short-Term Forecasting of Air Cargo Demand from a European Airport Hub to the United States during COVID-19. Data Archiving and Networked Services (DANS). 1 indexed citations
5.
Medved, Milica, Aritrick Chatterjee, Ajit Devaraj, et al.. (2021). High spectral and spatial resolution MRI of prostate cancer: a pilot study. Magnetic Resonance in Medicine. 86(3). 1505–1513. 2 indexed citations
6.
Malyarenko, Dariya, David C. Newitt, Lisa J. Wilmes, et al.. (2020). Retrospective Correction of ADC for Gradient Nonlinearity Errors in Multicenter Breast DWI Trials: ACRIN6698 Multiplatform Feasibility Study. Tomography. 6(2). 86–92. 9 indexed citations
7.
Qian, Pengjiang, Jiamin Zheng, Qiankun Zheng, et al.. (2020). Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(1). 70–82. 8 indexed citations
8.
Su, Kuan‐Hao, Harry T. Friel, Atallah Baydoun, et al.. (2019). UTE‐mDixon‐based thorax synthetic CT generation. Medical Physics. 46(8). 3520–3531. 12 indexed citations
9.
Chatterjee, Aritrick, et al.. (2018). Performance of T2 Maps in the Detection of Prostate Cancer. Academic Radiology. 26(1). 15–21. 29 indexed citations
10.
Chatterjee, Aritrick, Roger Bourne, Shiyang Wang, et al.. (2018). Diagnosis of Prostate Cancer with Noninvasive Estimation of Prostate Tissue Composition by Using Hybrid Multidimensional MR Imaging: A Feasibility Study. Radiology. 287(3). 864–873. 81 indexed citations
11.
Pipe, James G., Nicholas R. Zwart, Eric Aboussouan, et al.. (2011). A new design and rationale for 3D orthogonally oversampled k‐space trajectories. Magnetic Resonance in Medicine. 66(5). 1303–1311. 89 indexed citations
12.
Robison, Ryan K., Ajit Devaraj, & James G. Pipe. (2010). Fast, simple gradient delay estimation for spiral MRI. Magnetic Resonance in Medicine. 63(6). 1683–1690. 43 indexed citations
13.
Devaraj, Ajit & James G. Pipe. (2009). Elliptical field‐of‐view PROPELLER imaging. Magnetic Resonance in Medicine. 62(3). 808–814. 5 indexed citations
14.
Bunce, Scott C., et al.. (2005). Detecting deception in the brain: a functional near-infrared spectroscopy study of neural correlates of intentional deception. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5769. 24–24. 13 indexed citations
15.
İzzetoğlu, Meltem, Kurtuluş İzzetoğlu, Scott C. Bunce, et al.. (2005). Functional near-infrared neuroimaging. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 13(2). 153–159. 176 indexed citations
16.
İzzetoğlu, Meltem, Ajit Devaraj, Scott C. Bunce, & Banu Onaral. (2005). Motion Artifact Cancellation in NIR Spectroscopy Using Wiener Filtering. IEEE Transactions on Biomedical Engineering. 52(5). 934–938. 142 indexed citations
17.
Devaraj, Ajit, et al.. (2004). <title>Motion artifact removal in FNIR spectroscopy for real-world applications</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5588. 224–229. 4 indexed citations
18.

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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