N. Mangathayaru
- Signal Processing top 5%
- Advanced Malware Detection Techniques 10
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- Network Security and Intrusion Detection 12
- Artificial Intelligence top 5%
- Text and Document Classification Technologies 6
- Anomaly Detection Techniques and Applications 6
- Imbalanced Data Classification Techniques 3
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- Artificial Intelligence in Healthcare 3
- Information Systems top 10%
- Spam and Phishing Detection 5
- Data Mining Algorithms and Applications 4
- Co-authors
- G. KumarG. NarsimhaG. NarasimhaAravind CheruvuShadi AljawarnehV. JanakiPadmaja Kumari RaniM. Sreenivasa Rao
In The Last Decade
N. Mangathayaru
27 papers receiving 313 citations
Peers
Comparison fields: 5 of 41
- Signal Processing 129
- Computer Networks and Communications 163
- Artificial Intelligence 220
- Health Information Management 29
- Information Systems 106
Countries citing papers authored by N. Mangathayaru
This map shows the geographic impact of N. Mangathayaru'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 N. Mangathayaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Mangathayaru more than expected).
Fields of papers citing papers by N. Mangathayaru
This network shows the impact of papers produced by N. Mangathayaru. 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 N. Mangathayaru. The network helps show where N. Mangathayaru may publish in the future.
Co-authorship network
The 9 scholars most cited alongside N. Mangathayaru, 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 | 2022 | 1 | |
| 2 | 2021 | 5 | |
| 3 | 2020 | 1 | |
| 4 | 2020 | 2 | |
| 5 | 2019 | 5 | |
| 6 | 2017 | 63 | |
| 7 | 2017 | 11 | |
| 8 | 2017 | 4 | |
| 9 | Text Mining: State-of-the-Art and Research Directions | 2016 | 0 |
| 10 | 2016 | 12 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 17 | |
| 13 | 2016 | 15 | |
| 14 | 2016 | 4 | |
| 15 | 2016 | 21 | |
| 16 | 2016 | 7 | |
| 17 | 2016 | 3 | |
| 18 | 2015 | 50 | |
| 19 | 2015 | 2 | |
| 20 | 2015 | 26 |
About N. Mangathayaru
N. Mangathayaru is a scholar working on Signal Processing, Health Information Management and Artificial Intelligence, having authored 28 papers that have together received 328 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (10 papers), Text and Document Classification Technologies (6 papers), Anomaly Detection Techniques and Applications (6 papers), Spam and Phishing Detection (5 papers), Data Mining Algorithms and Applications (4 papers), Artificial Intelligence in Healthcare (3 papers) and Imbalanced Data Classification Techniques (3 papers). The work is most often cited by research in Signal Processing (129 citations), Computer Networks and Communications (163 citations) and Artificial Intelligence (220 citations). N. Mangathayaru has collaborated with scholars based in India, Jordan and Nepal. Frequent co-authors include G. Kumar, G. Narsimha, G. Narasimha, Aravind Cheruvu, Shadi Aljawarneh, V. Janaki, Padmaja Kumari Rani, M. Sreenivasa Rao and V. Janaki. Their work appears in journals such as Future Generation Computer Systems, Computers, materials & continua/Computers, materials & continua (Print) and JUCS - Journal of Universal Computer Science.
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.