Nilaksh Das
Impact in
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- Advanced Neural Network Applications
- Data Visualization and Analytics
- Generative Adversarial Networks and Image Synthesis
- Digital Media Forensic Detection
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
Papers in
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- Adversarial Robustness in Machine Learning 5
- Anomaly Detection Techniques and Applications 4
- Natural Language Processing Techniques 4
- Speech Recognition and Synthesis 3
- Domain Adaptation and Few-Shot Learning 2
- Topic Modeling 2
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Duen Horng Chau (7 shared papers)Fred Hohman (3 shared papers)Omar Shaikh (2 shared papers)Zijie J. Wang (2 shared papers)Minsuk Kahng (1 shared paper)Haekyu Park (3 shared papers)Madhuri Shanbhogue (2 shared papers)Li Chen (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)Journal of Data and Information Quality (1 paper)Knowledge Discovery and Data Mining (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)
- Partner nations
- United States
In The Last Decade
Nilaksh Das
9 papers receiving 296 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 109
- Artificial Intelligence 157
- Computational Mathematics 2
- Signal Processing 32
- Health Informatics 3
Countries citing papers authored by Nilaksh Das
This map shows the geographic impact of Nilaksh Das'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 Nilaksh Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilaksh Das more than expected).
Fields of papers citing papers by Nilaksh Das
This network shows the impact of papers produced by Nilaksh Das. 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 Nilaksh Das. The network helps show where Nilaksh Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Nilaksh Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 189 | |
| 2 | 2018 | 77 | |
| 3 | 2016 | 14 | |
| 4 | Compression to the Rescue: Defending from Adversarial Attacks Across Modalities | 2018 | 7 |
| 5 | 2022 | 4 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 |
About Nilaksh Das
Nilaksh Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Ocean Engineering and Signal Processing, having authored 11 papers that have together received 302 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (5 papers), Anomaly Detection Techniques and Applications (4 papers), Natural Language Processing Techniques (4 papers), Speech Recognition and Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Topic Modeling (2 papers), Bacillus and Francisella bacterial research (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (109 citations), Artificial Intelligence (157 citations), Computational Mathematics (2 citations), Signal Processing (32 citations) and Health Informatics (3 citations). Nilaksh Das has collaborated with scholars based in United States. Frequent co-authors include Duen Horng Chau, Fred Hohman, Omar Shaikh, Zijie J. Wang, Minsuk Kahng, Haekyu Park, Madhuri Shanbhogue, Li Chen, Michael E. Kounavis and Shang-Tse Chen. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Data and Information Quality, Knowledge Discovery and Data Mining, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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.