Satya P. Mallick
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Structural Biology top 1%
- Molecular Biology
- Atomic and Molecular Physics, and Optics
- Co-authors
- David KriegmanTodd ZicklerPeter N. BelhumeurBridget CarragherClinton S. PotterNeil AlldrinPing TanLong Quan
- Topics
- Color Science and Applications (6 papers)Computer Graphics and Visualization Techniques (5 papers)Advanced Electron Microscopy Techniques and Applications (4 papers)
- Cited by
- Structural BiologyComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
- Partner nations
- United StatesHong Kong
In The Last Decade
Satya P. Mallick
12 papers receiving 529 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 279
- Computer Graphics and Computer-Aided Design 167
- Structural Biology 137
- Molecular Biology 102
- Atomic and Molecular Physics, and Optics 99
Countries citing papers authored by Satya P. Mallick
This map shows the geographic impact of Satya P. Mallick'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 Satya P. Mallick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satya P. Mallick more than expected).
Fields of papers citing papers by Satya P. Mallick
This network shows the impact of papers produced by Satya P. Mallick. 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 Satya P. Mallick. The network helps show where Satya P. Mallick may publish in the future.
Co-authorship network of co-authors of Satya P. Mallick
This figure shows the co-authorship network connecting the top 25 collaborators of Satya P. Mallick. A scholar is included among the top collaborators of Satya P. Mallick 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 Satya P. Mallick. Satya P. Mallick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 78 | |
| 3 | 48 | |
| 4 | 75 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 122 | |
| 9 | 110 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 29 |
About Satya P. Mallick
Satya P. Mallick is a scholar working on Structural Biology, Computer Graphics and Computer-Aided Design and Surfaces, Coatings and Films, having authored 12 papers that have together received 548 indexed citations. Recurring topics across this work include Color Science and Applications (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Advanced Electron Microscopy Techniques and Applications (4 papers). The work is most often cited by research in Structural Biology (137 citations), Computer Graphics and Computer-Aided Design (167 citations) and Computer Vision and Pattern Recognition (279 citations). Satya P. Mallick has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include David Kriegman, Todd Zickler, Peter N. Belhumeur, Bridget Carragher, Clinton S. Potter, Neil Alldrin, Ping Tan, Long Quan, James Pulokas and Anchi Cheng. Their work appears in journals such as International Journal of Computer Vision, Journal of Structural Biology and Ultramicroscopy.
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.