Amod Jog

1.7k citations
32 papers · 698 · h-index 15

Impact in

Papers in

Amod Jog

31 papers receiving 691 citations

Peers

Amod Jog
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 341
  • Radiology, Nuclear Medicine and Imaging 227
  • Neurology 74
  • Health Informatics 12
  • Media Technology 66
Replace Bernard Chiu with:
Bernard Chiu Hong Kong
Rosalind Pratt United Kingdom
Ali Gooya United Kingdom
Stefanie Demirci Germany
Zhoubing Xu United States
Stephen Chang Singapore
Erik Smistad Norway
Zhennan Yan United States
Laurent Massoptier Italy
Constantinos Loukas Greece
Amod Jog relative to Bernard Chiu Hong Kong Bernard Chiu's profile →
Citations per field
00.5×2.5×
Bernard Chiu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Amod Jog, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amod Jog Line = papers co-authored together Amod Jog links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016131
2 201353
3 201147
4 201542
5 201241
6 201439
7 201638
8 201734
9 201134
10 201428
11 201627
12 201724
13 201420
14 201119
15 202014
16 201612
17 201411
18 201611
19 201511
20 201310

About Amod Jog

Amod Jog is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Media Technology, having authored 32 papers that have together received 698 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Advanced MRI Techniques and Applications (11 papers), Medical Imaging Techniques and Applications (7 papers), Surgical Simulation and Training (7 papers), Image and Signal Denoising Methods (6 papers), Anatomy and Medical Technology (5 papers), Augmented Reality Applications (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (341 citations), Radiology, Nuclear Medicine and Imaging (227 citations), Neurology (74 citations), Health Informatics (12 citations) and Media Technology (66 citations). Amod Jog has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Jerry L. Prince, Aaron Carass, Snehashis Roy, Dzung L. Pham, Junghoon Lee, Rajesh Kumar, Balázs Vágvölgyi, Hiep T. Nguyen, Chi Chiung Grace Chen and Gregory D. Hager. Their work appears in journals such as Medical Image Analysis, Journal of Thoracic and Cardiovascular Surgery, The Laryngoscope, Data in Brief and American Journal of Neuroradiology.

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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