Shiju Sathyadevan
- Artificial Intelligence top 10%
- Sociology and Political Science
- Information Systems top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Lei PanRobin DossKrishnashree AchuthanMurali RangarajanR. ManikandanR. RachanaArun Balakrishnan
- Topics
- Network Security and Intrusion Detection (3 papers)User Authentication and Security Systems (3 papers)Advanced Malware Detection Techniques (3 papers)
- Journals
- IEEE AccessAdvances in intelligent systems and computingARPN Journal of Engineering and Applied Sciences
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Shiju Sathyadevan
16 papers receiving 200 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 112
- Sociology and Political Science 69
- Information Systems 69
- Computer Networks and Communications 59
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Shiju Sathyadevan
This map shows the geographic impact of Shiju Sathyadevan'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 Shiju Sathyadevan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiju Sathyadevan more than expected).
Fields of papers citing papers by Shiju Sathyadevan
This network shows the impact of papers produced by Shiju Sathyadevan. 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 Shiju Sathyadevan. The network helps show where Shiju Sathyadevan may publish in the future.
Co-authorship network of co-authors of Shiju Sathyadevan
This figure shows the co-authorship network connecting the top 25 collaborators of Shiju Sathyadevan. A scholar is included among the top collaborators of Shiju Sathyadevan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shiju Sathyadevan. Shiju Sathyadevan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 29 | |
| 4 | Intrusion detection system using big data framework | 9 |
| 5 | System call authorization in linux by a secure daemon | 1 |
| 6 | 3 | |
| 7 | 15 | |
| 8 | Benchmarking support vector machines implementation using multiple techniques | 1 |
| 9 | Proposal of browser by exploiting the proficiency of V8 for large data visualization | 1 |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 121 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 1 |
About Shiju Sathyadevan
Shiju Sathyadevan is a scholar working on Signal Processing, Hardware and Architecture and Computer Networks and Communications, having authored 16 papers that have together received 225 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (3 papers), User Authentication and Security Systems (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (112 citations), Information Systems (69 citations) and Signal Processing (30 citations). Shiju Sathyadevan has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Lei Pan, Robin Doss, Krishnashree Achuthan, Murali Rangarajan, R. Manikandan, R. Rachana and Arun Balakrishnan. Their work appears in journals such as IEEE Access, Advances in intelligent systems and computing and ARPN Journal of Engineering 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.