Amod Jog

1.7k total citations
32 papers, 698 citations indexed

About

Amod Jog is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Amod Jog has authored 32 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Amod Jog's work include Medical Image Segmentation Techniques (12 papers), Advanced MRI Techniques and Applications (11 papers) and Medical Imaging Techniques and Applications (7 papers). Amod Jog is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Advanced MRI Techniques and Applications (11 papers) and Medical Imaging Techniques and Applications (7 papers). Amod Jog collaborates with scholars based in United States, Sweden and France. Amod Jog's co-authors include Jerry L. Prince, Aaron Carass, Snehashis Roy, Dzung L. Pham, Junghoon Lee, Rajesh Kumar, Balázs Vágvölgyi, Gregory D. Hager, Chi Chiung Grace Chen and David D. Yuh and has published in prestigious journals such as Journal of Thoracic and Cardiovascular Surgery, American Journal of Neuroradiology and The Laryngoscope.

In The Last Decade

Amod Jog

31 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amod Jog United States 15 341 227 143 132 87 32 698
Žiga Špiclin Slovenia 14 298 0.9× 259 1.1× 134 0.9× 30 0.2× 63 0.7× 53 714
Dana Cobzaş Canada 17 347 1.0× 243 1.1× 77 0.5× 95 0.7× 54 0.6× 54 943
Qiang Zheng China 15 199 0.6× 215 0.9× 160 1.1× 76 0.6× 104 1.2× 59 856
Chenchu Xu China 15 245 0.7× 368 1.6× 185 1.3× 44 0.3× 105 1.2× 35 741
Andrew J. Asman United States 15 371 1.1× 334 1.5× 142 1.0× 34 0.3× 89 1.0× 35 754
Kelei He China 16 441 1.3× 580 2.6× 210 1.5× 52 0.4× 369 4.2× 25 1.1k
Alfiia Galimzianova United States 8 379 1.1× 438 1.9× 157 1.1× 39 0.3× 263 3.0× 15 1.0k
Phillip Chlap Australia 10 182 0.5× 359 1.6× 117 0.8× 37 0.3× 198 2.3× 30 792
Shawn Lankton United States 6 703 2.1× 235 1.0× 96 0.7× 35 0.3× 147 1.7× 11 958
Yin‐Yin Liao Taiwan 16 92 0.3× 436 1.9× 214 1.5× 102 0.8× 164 1.9× 28 670

Countries citing papers authored by Amod Jog

Since Specialization
Citations

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

Fields of papers citing papers by Amod Jog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amod Jog

This figure shows the co-authorship network connecting the top 25 collaborators of Amod Jog. A scholar is included among the top collaborators of Amod Jog 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 Amod Jog. Amod Jog 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.
Edelstein, D., S. Nguyen, Huai Huang, et al.. (2024). The Extreme Extendibility of Cu and Post-Cu Dual Damascene BEOL Interconnect Technology. 1–4.
2.
Dewey, Blake E., Xiang Xu, Linda Knutsson, et al.. (2021). MTT and Blood-Brain Barrier Disruption within Asymptomatic Vascular WM Lesions. American Journal of Neuroradiology. 42(8). 1396–1402. 5 indexed citations
3.
Jog, Amod, et al.. (2020). Serial Reaction Time Task Performance in Older Adults with Neuropsychologically Defined Mild Cognitive Impairment. Journal of Alzheimer s Disease. 74(2). 491–500. 14 indexed citations
4.
Carass, Aaron, Snehashis Roy, Amod Jog, et al.. (2017). Longitudinal multiple sclerosis lesion segmentation data resource. Data in Brief. 12. 346–350. 34 indexed citations
5.
Jog, Amod, Aaron Carass, & Jerry L. Prince. (2016). Self Super-Resolution for Magnetic Resonance Images. Lecture notes in computer science. 9902. 553–560. 27 indexed citations
6.
Roy, Snehashis, Yi‐Yu Chou, Amod Jog, John A. Butman, & Dzung L. Pham. (2016). Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction. Lecture notes in computer science. 9968. 146–156. 12 indexed citations
7.
Chen, Min, Aaron Carass, Amod Jog, et al.. (2016). Cross contrast multi-channel image registration using image synthesis for MR brain images. Medical Image Analysis. 36. 2–14. 38 indexed citations
8.
Jog, Amod, Aaron Carass, Snehashis Roy, Dzung L. Pham, & Jerry L. Prince. (2016). Random forest regression for magnetic resonance image synthesis. Medical Image Analysis. 35. 475–488. 131 indexed citations
9.
Jog, Amod, Aaron Carass, Dzung L. Pham, & Jerry L. Prince. (2015). Multi-output decision trees for lesion segmentation in multiple sclerosis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 94131C–94131C. 8 indexed citations
10.
Jog, Amod, Aaron Carass, Dzung L. Pham, & Jerry L. Prince. (2015). Tree-Encoded Conditional Random Fields for Image Synthesis. Lecture notes in computer science. 733–745. 4 indexed citations
11.
He, Qing, Snehashis Roy, Amod Jog, & Dzung L. Pham. (2015). An example-based brain MRI simulation framework. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9412. 94120P–94120P. 3 indexed citations
12.
Jog, Amod, Aaron Carass, Snehashis Roy, Dzung L. Pham, & Jerry L. Prince. (2015). MR image synthesis by contrast learning on neighborhood ensembles. Medical Image Analysis. 24(1). 63–76. 42 indexed citations
13.
Jog, Amod, Aaron Carass, & Jerry L. Prince. (2014). Improving magnetic resonance resolution with supervised learning. PubMed. 2014. 987–990. 28 indexed citations
14.
Jog, Amod, Aaron Carass, Dzung L. Pham, & Jerry L. Prince. (2014). Random forest FLAIR reconstruction from T<inf>1</inf>, T<inf>2</inf>, and P<inf>D</inf>-weighted MRI. PubMed. 8149. 1079–1082. 11 indexed citations
15.
Roy, Snehashis, Aaron Carass, Amod Jog, Jerry L. Prince, & Junghoon Lee. (2014). MR to CT registration of brains using image synthesis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 903419–903419. 39 indexed citations
16.
Roy, Snehashis, Qing He, Aaron Carass, et al.. (2014). Example based lesion segmentation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90341Y–90341Y. 20 indexed citations
17.
Jog, Amod, Snehashis Roy, Aaron Carass, & Jerry L. Prince. (2013). Pulse sequence based multi-acquisition MR intensity normalization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 86692H–86692H. 10 indexed citations
18.
Jog, Amod, Snehashis Roy, Aaron Carass, & Jerry L. Prince. (2013). Magnetic resonance image synthesis through patch regression. PubMed. 2013. 350–353. 53 indexed citations
19.
Malpani, Anand, Ryan Li, Amod Jog, et al.. (2012). Objective assessment in residency‐based training for transoral robotic surgery. The Laryngoscope. 122(10). 2184–2192. 41 indexed citations
20.
Kumar, Rajesh, Amod Jog, Balázs Vágvölgyi, et al.. (2011). Objective measures for longitudinal assessment of robotic surgery training. Journal of Thoracic and Cardiovascular Surgery. 143(3). 528–534. 47 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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