Merry Mani

1.1k total citations
23 papers, 582 citations indexed

About

Merry Mani is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Merry Mani has authored 23 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computational Mechanics and 2 papers in Cognitive Neuroscience. Recurrent topics in Merry Mani's work include Advanced MRI Techniques and Applications (19 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and MRI in cancer diagnosis (10 papers). Merry Mani is often cited by papers focused on Advanced MRI Techniques and Applications (19 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and MRI in cancer diagnosis (10 papers). Merry Mani collaborates with scholars based in United States, China and Switzerland. Merry Mani's co-authors include Mathews Jacob, Vincent A. Magnotta, Daphné Bavelier, Rebecca L. Achtman, Julia Föcker, Douglas A.C. Kelley, Hemant Kumar Aggarwal, Jianhui Zhong, Arnaud Guidon and John A. Wemmie and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Merry Mani

21 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Merry Mani United States 10 316 123 110 70 37 23 582
Kangjoo Lee South Korea 14 171 0.5× 320 2.6× 41 0.4× 11 0.2× 4 0.1× 39 693
Deyue Yu United States 11 118 0.4× 431 3.5× 71 0.6× 120 1.7× 7 0.2× 36 606
Xiaohong Wan Japan 17 144 0.5× 454 3.7× 57 0.5× 38 0.5× 8 0.2× 31 749
Allen M. Y. Cheong Hong Kong 17 257 0.8× 355 2.9× 74 0.7× 38 0.5× 6 0.2× 52 899
Sing-Hang Cheung United States 12 228 0.7× 582 4.7× 103 0.9× 125 1.8× 12 0.3× 12 852
Regine Frank Germany 13 97 0.3× 284 2.3× 67 0.6× 65 0.9× 2 0.1× 32 648
Panagiota Theodoni United States 5 55 0.2× 340 2.8× 67 0.6× 35 0.5× 9 0.2× 7 441
Mary M. Schleske United States 4 154 0.5× 541 4.4× 74 0.7× 90 1.3× 3 0.1× 5 821
Won-Du Chang South Korea 13 111 0.4× 291 2.4× 35 0.3× 5 0.1× 24 0.6× 52 563
Mitchell B. Robinson United States 12 215 0.7× 53 0.4× 61 0.6× 285 4.1× 6 0.2× 31 746

Countries citing papers authored by Merry Mani

Since Specialization
Citations

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

Fields of papers citing papers by Merry Mani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merry Mani

This figure shows the co-authorship network connecting the top 25 collaborators of Merry Mani. A scholar is included among the top collaborators of Merry Mani 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 Merry Mani. Merry Mani 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.
Han, MeiLan K., Zi Wang, Fei Guan, et al.. (2025). Fast and ultra-high shot diffusion MRI image reconstruction with self-adaptive Hankel subspace. Medical Image Analysis. 102. 103546–103546.
2.
Williams, Aislinn, Gary E. Christensen, Michelle W. Voss, et al.. (2024). Machine learning with multiple modalities of brain magnetic resonance imaging data to identify the presence of bipolar disorder. Journal of Affective Disorders. 368. 448–460. 3 indexed citations
3.
Liao, Congyu, et al.. (2024). High-fidelity intravoxel incoherent motion parameter mapping using locally low-rank and subspace modeling. NeuroImage. 292. 120601–120601. 1 indexed citations
4.
5.
Dai, Erpeng, Merry Mani, & Jennifer A. McNab. (2022). Multi‐band multi‐shot diffusion MRI reconstruction with joint usage of structured low‐rank constraints and explicit phase mapping. Magnetic Resonance in Medicine. 89(1). 95–111. 9 indexed citations
6.
Mani, Merry, Vincent A. Magnotta, & Mathews Jacob. (2021). qModeL: A plug‐and‐play model‐based reconstruction for highly accelerated multi‐shot diffusion MRI using learned priors. Magnetic Resonance in Medicine. 86(2). 835–851. 23 indexed citations
7.
8.
Shaffer, Joseph J., Merry Mani, Jia Xu, et al.. (2020). Proton Exchange Magnetic Resonance Imaging: Current and Future Applications in Psychiatric Research. Frontiers in Psychiatry. 11. 532606–532606. 8 indexed citations
9.
Aggarwal, Hemant Kumar, Merry Mani, & Mathews Jacob. (2019). Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). PubMed. 2019. 1541–1544. 7 indexed citations
10.
Aggarwal, Hemant Kumar, Merry Mani, & Mathews Jacob. (2019). MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI. IEEE Transactions on Medical Imaging. 39(4). 1268–1277. 36 indexed citations
11.
Mani, Merry, Hemant Kumar Aggarwal, Vincent A. Magnotta, & Mathews Jacob. (2019). Improved MUSSELS reconstruction for high‐resolution multi‐shot diffusion weighted imaging. Magnetic Resonance in Medicine. 83(6). 2253–2263. 20 indexed citations
12.
Aggarwal, Hemant Kumar, Merry Mani, & Mathews Jacob. (2018). Model based image reconstruction using deep learned priors (MODL). PubMed. 2018. 671–674. 12 indexed citations
13.
Mani, Merry, Vincent A. Magnotta, Douglas A.C. Kelley, & Mathews Jacob. (2016). Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels. PubMed. 2016. 1107–1110. 8 indexed citations
14.
Liao, Congyu, Ying Chen, Xiaozhi Cao, et al.. (2016). Efficient parallel reconstruction for high resolution multishot spiral diffusion data with low rank constraint. Magnetic Resonance in Medicine. 77(3). 1359–1366. 35 indexed citations
15.
Mani, Merry, Mathews Jacob, Douglas A.C. Kelley, & Vincent A. Magnotta. (2016). Multi-shot sensitivity-encoded diffusion data recovery using structured low-rank matrix completion (MUSSELS). Magnetic Resonance in Medicine. 78(2). 494–507. 104 indexed citations
16.
Mani, Merry, Mathews Jacob, Vincent A. Magnotta, & Jianhui Zhong. (2014). Fast iterative algorithm for the reconstruction of multishot non‐cartesian diffusion data. Magnetic Resonance in Medicine. 74(4). 1086–1094. 12 indexed citations
17.
Mani, Merry, Mathews Jacob, Arnaud Guidon, Vincent A. Magnotta, & Jianhui Zhong. (2014). Acceleration of high angular and spatial resolution diffusion imaging using compressed sensing with multichannel spiral data. Magnetic Resonance in Medicine. 73(1). 126–138. 34 indexed citations
18.
Mani, Merry, Mathews Jacob, Arnaud Guidon, Vincent A. Magnotta, & Jianhui Zhong. (2012). Accelerating non-Cartesian sense for large coil arrays: Application to motion compensation in multishot DWI. 13. 406–409. 2 indexed citations
19.
Bavelier, Daphné, Rebecca L. Achtman, Merry Mani, & Julia Föcker. (2011). Neural bases of selective attention in action video game players. Vision Research. 61. 132–143. 213 indexed citations
20.
Behera, B.K. & Merry Mani. (2007). Characterization and classification of fabric defects using discrete cosine transformation and artificial neural network. 9 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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