I. Sumaiya Thaseen
- Signal Processing top 5%
- Advanced Malware Detection Techniques 5
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- Network Security and Intrusion Detection 19
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 15
- Internet Traffic Analysis and Secure E-voting 11
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- Network Packet Processing and Optimization 5
- Information Systems top 10%
- Cloud Data Security Solutions 2
- Blockchain Technology Applications and Security 2
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- COVID-19 diagnosis using AI 2
- Co-authors
- Ch. Aswani KumarAswani Kumar CherukuriAmir AhmadMuhammad Rukunuddin GhalibKumar AbhishekK. LavanyaV. PriyaM. Vanitha
- Journals
- SHILAP Revista de lepidopterología (1 paper)Sustainable Cities and Society (1 paper)Applied Sciences (1 paper)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
I. Sumaiya Thaseen
26 papers receiving 562 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 235
- Computer Networks and Communications 431
- Artificial Intelligence 400
- Hardware and Architecture 24
- Information Systems 65
Countries citing papers authored by I. Sumaiya Thaseen
This map shows the geographic impact of I. Sumaiya Thaseen'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 I. Sumaiya Thaseen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Sumaiya Thaseen more than expected).
Fields of papers citing papers by I. Sumaiya Thaseen
This network shows the impact of papers produced by I. Sumaiya Thaseen. 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 I. Sumaiya Thaseen. The network helps show where I. Sumaiya Thaseen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside I. Sumaiya Thaseen, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 46 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 0 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2017 | 1 | |
| 17 | Intrusion Detection Model using PCA and Ensemble of Classiers | 2016 | 3 |
| 18 | 2016 | 59 | |
| 19 | 2014 | 20 | |
| 20 | 2013 | 69 |
About I. Sumaiya Thaseen
I. Sumaiya Thaseen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture, having authored 29 papers that have together received 595 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (19 papers), Anomaly Detection Techniques and Applications (15 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Network Packet Processing and Optimization (5 papers), Advanced Malware Detection Techniques (5 papers), Cloud Data Security Solutions (2 papers), Blockchain Technology Applications and Security (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Signal Processing (235 citations), Computer Networks and Communications (431 citations) and Artificial Intelligence (400 citations). I. Sumaiya Thaseen has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Ch. Aswani Kumar, Aswani Kumar Cherukuri, Amir Ahmad, Muhammad Rukunuddin Ghalib, Kumar Abhishek, K. Lavanya, V. Priya, M. Vanitha, Gang Li and Yishuo Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainable Cities and Society and Applied Sciences.
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.