Ambrish Rawat
Impact in
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- Machine Learning and Data Classification
- Adversarial Robustness in Machine Learning
- Machine Learning and Algorithms
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- Scientific Computing and Data Management
Papers in
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- Machine Learning and Data Classification 4
- Adversarial Robustness in Machine Learning 2
- Anomaly Detection Techniques and Applications 2
- Machine Learning and Algorithms 2
- Internet Traffic Analysis and Secure E-voting 2
- Data Stream Mining Techniques 2
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- Network Security and Intrusion Detection 2
- Co-authors
- Martin Wistuba (5 shared papers)Radu Marinescu (2 shared papers)Paulito Palmes (2 shared papers)Adi Botea (2 shared papers)Parikshit Ram (3 shared papers)Akihiro Kishimoto (2 shared papers)I‐Hsin Chung (1 shared paper)Udayan Khurana (1 shared paper)
- Journals
- Research Repository (Delft University of Technology) (1 paper)2022 IEEE International Conference on Big Data (Big Data) (1 paper)DORA PSI (Paul Scherrer Institute) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- IrelandUnited StatesItaly
In The Last Decade
Ambrish Rawat
11 papers receiving 35 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 19
- Information Systems and Management 4
- Management Science and Operations Research 6
- Management Information Systems 4
- Information Systems 10
Countries citing papers authored by Ambrish Rawat
This map shows the geographic impact of Ambrish Rawat'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 Ambrish Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambrish Rawat more than expected).
Fields of papers citing papers by Ambrish Rawat
This network shows the impact of papers produced by Ambrish Rawat. 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 Ambrish Rawat. The network helps show where Ambrish Rawat may publish in the future.
Co-authors
The 25 scholars most cited alongside Ambrish Rawat, 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 | 2021 | 11 | |
| 2 | 2020 | 6 | |
| 3 | 2025 | 5 | |
| 4 | 2018 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2020 | 2 | |
| 8 | 2022 | 2 | |
| 9 | Extending Knowledge Bases Using Images. | 2017 | 1 |
| 10 | 2022 | 1 | |
| 11 | Designing for Usability: A Statistical Disclosure Control Tool for Microdata Sets | 2020 | 1 |
| 12 | 2024 | 0 | |
| 13 | 2015 | 0 |
About Ambrish Rawat
Ambrish Rawat is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Molecular Biology, having authored 13 papers that have together received 36 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (4 papers), Adversarial Robustness in Machine Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers), Machine Learning and Algorithms (2 papers), Network Security and Intrusion Detection (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Data Stream Mining Techniques (2 papers) and Particle Accelerators and Free-Electron Lasers (1 paper). The work is most often cited by research in Artificial Intelligence (19 citations), Information Systems and Management (4 citations), Management Science and Operations Research (6 citations), Management Information Systems (4 citations) and Information Systems (10 citations). Ambrish Rawat has collaborated with scholars based in Ireland, United States and Italy. Frequent co-authors include Martin Wistuba, Radu Marinescu, Paulito Palmes, Adi Botea, Parikshit Ram, Akihiro Kishimoto, I‐Hsin Chung, Udayan Khurana, Calvin Ko and Tejaswini Pedapati. Their work appears in journals such as Research Repository (Delft University of Technology), 2022 IEEE International Conference on Big Data (Big Data), DORA PSI (Paul Scherrer Institute), Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.