Shoubhik Debnath
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Aerospace Engineering
- Topics
- Statistical and numerical algorithms (1 paper)Information Retrieval and Search Behavior (1 paper)Neural dynamics and brain function (1 paper)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- Frontiers in PsychologyEnvironmental ProcessesCaltechAUTHORS (California Institute of Technology)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Shoubhik Debnath
8 papers receiving 680 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 320
- Artificial Intelligence 147
- Media Technology 80
- Radiology, Nuclear Medicine and Imaging 70
- Aerospace Engineering 60
Countries citing papers authored by Shoubhik Debnath
This map shows the geographic impact of Shoubhik Debnath'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 Shoubhik Debnath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoubhik Debnath more than expected).
Fields of papers citing papers by Shoubhik Debnath
This network shows the impact of papers produced by Shoubhik Debnath. 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 Shoubhik Debnath. The network helps show where Shoubhik Debnath may publish in the future.
Co-authorship network of co-authors of Shoubhik Debnath
This figure shows the co-authorship network connecting the top 25 collaborators of Shoubhik Debnath. A scholar is included among the top collaborators of Shoubhik Debnath 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 Shoubhik Debnath. Shoubhik Debnath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencodersbreakdown → | 595 |
| 3 | 54 | |
| 4 | Semi-Supervised StyleGAN for Disentanglement Learning | 18 |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 5 |
About Shoubhik Debnath
Shoubhik Debnath is a scholar working on General Decision Sciences, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 699 indexed citations. Recurring topics across this work include Statistical and numerical algorithms (1 paper), Information Retrieval and Search Behavior (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (320 citations), Media Technology (80 citations) and Industrial and Manufacturing Engineering (58 citations). Shoubhik Debnath has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ronghang Hu, Sanghyun Woo, Xinlei Chen, In So Kweon, Saining Xie, Zhuang Liu, Xiang Yu, Dieter Fox, Arsalan Mousavian and Hammad Mazhar. Their work appears in journals such as Frontiers in Psychology, Environmental Processes and CaltechAUTHORS (California Institute of Technology).
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.