Niraj Thapa
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Advanced Malware Detection Techniques 4
- Biometric Identification and Security 2
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- Internet Traffic Analysis and Secure E-voting 3
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Kaushik Roy (10 shared papers)Zhipeng Liu (3 shared papers)Balakrishna Gokaraju (3 shared papers)Robert H. Newman (5 shared papers)Hiroto Saigo (3 shared papers)Dukka B. KC (4 shared papers)Dukka B. KC (1 shared paper)Xiaohong Yuan (2 shared papers)
- Journals
- Future Internet (1 paper)Scientific Reports (1 paper)Computational and Structural Biotechnology Journal (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Electronics (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Niraj Thapa
12 papers receiving 301 citations
Peers
Comparison fields: 5 of 53
- Signal Processing 107
- Computer Networks and Communications 155
- Artificial Intelligence 144
- Molecular Biology 105
- Information Systems 24
Countries citing papers authored by Niraj Thapa
This map shows the geographic impact of Niraj Thapa'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 Niraj Thapa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niraj Thapa more than expected).
Fields of papers citing papers by Niraj Thapa
This network shows the impact of papers produced by Niraj Thapa. 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 Niraj Thapa. The network helps show where Niraj Thapa may publish in the future.
Co-authors
The 19 scholars most cited alongside Niraj Thapa, 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 | 68 | |
| 2 | 2020 | 55 | |
| 3 | 2020 | 47 | |
| 4 | 2021 | 39 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2018 | 8 | |
| 12 | 2023 | 1 |
About Niraj Thapa
Niraj Thapa is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 315 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Machine Learning in Bioinformatics (4 papers), Advanced Malware Detection Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Anomaly Detection Techniques and Applications (3 papers), Biometric Identification and Security (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Face and Expression Recognition (1 paper). The work is most often cited by research in Signal Processing (107 citations), Computer Networks and Communications (155 citations), Artificial Intelligence (144 citations), Molecular Biology (105 citations) and Information Systems (24 citations). Niraj Thapa has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Kaushik Roy, Zhipeng Liu, Balakrishna Gokaraju, Robert H. Newman, Hiroto Saigo, Dukka B. KC, Dukka B. KC, Xiaohong Yuan, Sajad Khorsandroo and Anna Yu. Their work appears in journals such as Future Internet, Scientific Reports, Computational and Structural Biotechnology Journal, Frontiers in Cell and Developmental Biology and Electronics.
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.