Aditeya Pandey
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Signal Processing
- Information Systems and Management
- Molecular Biology
- Co-authors
- Michelle A. BorkinArjun SrinivasanVidya SetlurQianwen WangNils GehlenborgPuneet AgarwalGautam ShroffSehi L’Yi
- Topics
- Data Visualization and Analytics (12 papers)Multimedia Communication and Technology (5 papers)Complex Network Analysis Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionInformation Systems and ManagementHuman-Computer Interaction
- Journals
- IEEE Transactions on Visualization and Computer GraphicsInternational Conference on Information FusionEurographics
- Partner nations
- United StatesMexicoIndia
In The Last Decade
Aditeya Pandey
13 papers receiving 73 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 46
- Artificial Intelligence 18
- Signal Processing 11
- Information Systems and Management 9
- Molecular Biology 8
Countries citing papers authored by Aditeya Pandey
This map shows the geographic impact of Aditeya Pandey'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 Aditeya Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditeya Pandey more than expected).
Fields of papers citing papers by Aditeya Pandey
This network shows the impact of papers produced by Aditeya Pandey. 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 Aditeya Pandey. The network helps show where Aditeya Pandey may publish in the future.
Co-authorship network of co-authors of Aditeya Pandey
This figure shows the co-authorship network connecting the top 25 collaborators of Aditeya Pandey. A scholar is included among the top collaborators of Aditeya Pandey 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 Aditeya Pandey. Aditeya Pandey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | Visual Bayesian fusion to navigate a data lake | 3 |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 3 |
About Aditeya Pandey
Aditeya Pandey is a scholar working on Computer Vision and Pattern Recognition, Software and Statistical and Nonlinear Physics, having authored 13 papers that have together received 79 indexed citations. Recurring topics across this work include Data Visualization and Analytics (12 papers), Multimedia Communication and Technology (5 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (46 citations), Information Systems and Management (9 citations) and Human-Computer Interaction (7 citations). Aditeya Pandey has collaborated with scholars based in United States, Mexico and India. Frequent co-authors include Michelle A. Borkin, Arjun Srinivasan, Vidya Setlur, Qianwen Wang, Nils Gehlenborg, Puneet Agarwal, Gautam Shroff, Sehi L’Yi, Geetika Sharma and Tina Eliassi‐Rad. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, International Conference on Information Fusion and Eurographics.
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.