Iman Aganj

1.7k total citations
57 papers, 1.1k citations indexed

About

Iman Aganj is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Iman Aganj has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Cognitive Neuroscience. Recurrent topics in Iman Aganj's work include Advanced Neuroimaging Techniques and Applications (35 papers), Advanced MRI Techniques and Applications (27 papers) and Medical Image Segmentation Techniques (15 papers). Iman Aganj is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (35 papers), Advanced MRI Techniques and Applications (27 papers) and Medical Image Segmentation Techniques (15 papers). Iman Aganj collaborates with scholars based in United States, Sweden and United Kingdom. Iman Aganj's co-authors include Guillermo Sapiro, Christophe Lenglet, Noam Harel, Essa Yacoub, Bruce Fischl, Kâmil Uǧurbil, Paul M. Thompson, Mukesh G. Harisinghani, Ralph Weissleder and Neda Jahanshad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Scientific Reports.

In The Last Decade

Iman Aganj

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iman Aganj United States 18 792 314 168 141 87 57 1.1k
Benoît Scherrer United States 23 704 0.9× 210 0.7× 188 1.1× 343 2.4× 36 0.4× 73 1.5k
Lisa Jonasson Switzerland 10 835 1.1× 197 0.6× 97 0.6× 200 1.4× 45 0.5× 16 1.1k
James G. Malcolm United States 21 629 0.8× 191 0.6× 217 1.3× 176 1.2× 115 1.3× 65 1.7k
Peter Savadjiev United States 18 989 1.2× 308 1.0× 37 0.2× 192 1.4× 126 1.4× 50 1.3k
A. Nabavi Germany 13 843 1.1× 114 0.4× 463 2.8× 156 1.1× 229 2.6× 28 1.4k
Philip Batchelor United Kingdom 18 1.0k 1.3× 93 0.3× 78 0.5× 131 0.9× 143 1.6× 30 1.4k
Jonathan A.D. Farrell United States 17 1.3k 1.7× 269 0.9× 82 0.5× 214 1.5× 50 0.6× 18 1.6k
Hatsuho Mamata United States 17 1.4k 1.8× 202 0.6× 76 0.5× 308 2.2× 71 0.8× 27 1.7k
Ming‐Chung Chou Taiwan 17 545 0.7× 150 0.5× 69 0.4× 95 0.7× 73 0.8× 68 1.0k
Mahnaz Maddah United States 15 366 0.5× 91 0.3× 84 0.5× 107 0.8× 161 1.9× 40 754

Countries citing papers authored by Iman Aganj

Since Specialization
Citations

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

Fields of papers citing papers by Iman Aganj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iman Aganj

This figure shows the co-authorship network connecting the top 25 collaborators of Iman Aganj. A scholar is included among the top collaborators of Iman Aganj 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 Iman Aganj. Iman Aganj 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.
Kazi, Anees, Jocelyn Mora, Bruce Fischl, Adrian V. Dalca, & Iman Aganj. (2024). Multi-head Graph Convolutional Network for Structural Connectome Classification. Lecture notes in computer science. 14373. 27–36.
2.
Kazi, Anees, et al.. (2023). IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction. Lecture notes in computer science. 14348. 382–392. 2 indexed citations
3.
Aganj, Iman & Bruce Fischl. (2023). Intermediate Deformable Image Registration Via Windowed Cross-Correlation. PubMed. 2023. 1–5.
4.
Augustinack, Jean C., Divya Varadarajan, Anastasia Yendiki, et al.. (2021). Conductance-Based Structural Brain Connectivity in Aging and Dementia. Brain Connectivity. 11(7). 566–583. 6 indexed citations
5.
Aganj, Iman, et al.. (2021). Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics. PubMed. 2021. 1586–1590. 4 indexed citations
6.
Dutta, Pranab Kumar, et al.. (2021). Radius-optimized efficient template matching for lesion detection from brain images. Scientific Reports. 11(1). 11586–11586. 2 indexed citations
7.
Aganj, Iman, Juan Eugenio Iglesias, Anastasia Yendiki, et al.. (2020). Compensatory Brain Connection Discovery in Alzheimer's Disease. PubMed. 2020. 283–287. 8 indexed citations
8.
Fischl, Bruce, et al.. (2019). Quantification of structural brain connectivity via a conductance model. NeuroImage. 189. 485–496. 11 indexed citations
9.
Aganj, Iman & Bruce Fischl. (2019). Expected Label Value Computation for Atlas-Based Image Segmentation. PubMed. 2019. 334–338. 3 indexed citations
10.
Aganj, Iman, Mukesh G. Harisinghani, Ralph Weissleder, & Bruce Fischl. (2018). Unsupervised Medical Image Segmentation Based on the Local Center of Mass. Scientific Reports. 8(1). 13012–13012. 59 indexed citations
11.
Aganj, Iman, Juan Eugenio Iglesias, Martin Reuter, Mert R. Sabuncu, & Bruce Fischl. (2017). Mid-space-independent deformable image registration. NeuroImage. 152. 158–170. 17 indexed citations
12.
Aganj, Iman & Bruce Fischl. (2017). Multimodal Image Registration Through Simultaneous Segmentation. IEEE Signal Processing Letters. 24(11). 1661–1665. 8 indexed citations
13.
14.
Gaglia, Jason L., Mukesh G. Harisinghani, Iman Aganj, et al.. (2015). Noninvasive mapping of pancreatic inflammation in recent-onset type-1 diabetes patients. Proceedings of the National Academy of Sciences. 112(7). 2139–2144. 100 indexed citations
15.
Aganj, Iman, Martin Reuter, Mert R. Sabuncu, & Bruce Fischl. (2014). Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint. NeuroImage. 106. 238–251. 5 indexed citations
16.
Aganj, Iman, Martin Reuter, Mert R. Sabuncu, & Bruce Fischl. (2013). Symmetric non-rigid image registration via an adaptive quasi-volume-preserving constraint. PubMed. 2013. 230–233. 3 indexed citations
17.
Jahanshad, Neda, Iman Aganj, Christophe Lenglet, et al.. (2011). Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins. Queensland's institutional digital repository (The University of Queensland). 14 indexed citations
18.
Aganj, Iman, Christophe Lenglet, Neda Jahanshad, et al.. (2011). A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography. Medical Image Analysis. 15(4). 414–425. 107 indexed citations
19.
Aganj, Iman, Christophe Lenglet, Essa Yacoub, Guillermo Sapiro, & Noam Harel. (2011). A 3D wavelet fusion approach for the reconstruction of isotropic‐resolution MR images from orthogonal anisotropic‐resolution scans. Magnetic Resonance in Medicine. 67(4). 1167–1172. 19 indexed citations
20.
Aganj, Iman, Christophe Lenglet, Guillermo Sapiro, et al.. (2010). Reconstruction of the orientation distribution function in single‐ and multiple‐shell q‐ball imaging within constant solid angle. Magnetic Resonance in Medicine. 64(2). 554–566. 257 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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