Aruna Jamdagni
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Hardware and Architecture top 10%
- Co-authors
- Priyadarsi NandaXiangjian HeZhiyuan TanRen Ping LiuJiankun HuDeepak PuthalAshish NandaMohammed A. Ambusaidi
- Topics
- Network Security and Intrusion Detection (14 papers)Internet Traffic Analysis and Secure E-voting (8 papers)Advanced Malware Detection Techniques (7 papers)
- Journals
- IEEE Transactions on ComputersFuture Generation Computer SystemsIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- AustraliaNetherlandsUnited Kingdom
In The Last Decade
Aruna Jamdagni
17 papers receiving 479 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 475
- Artificial Intelligence 375
- Signal Processing 225
- Information Systems 91
- Hardware and Architecture 40
Countries citing papers authored by Aruna Jamdagni
This map shows the geographic impact of Aruna Jamdagni'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 Aruna Jamdagni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aruna Jamdagni more than expected).
Fields of papers citing papers by Aruna Jamdagni
This network shows the impact of papers produced by Aruna Jamdagni. 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 Aruna Jamdagni. The network helps show where Aruna Jamdagni may publish in the future.
Co-authorship network of co-authors of Aruna Jamdagni
This figure shows the co-authorship network connecting the top 25 collaborators of Aruna Jamdagni. A scholar is included among the top collaborators of Aruna Jamdagni 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 Aruna Jamdagni. Aruna Jamdagni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 5 | |
| 3 | 31 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 116 | |
| 7 | 8 | |
| 8 | 209 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 59 | |
| 12 | 13 | |
| 13 | Mahalanobis distance map approach for anomaly detection of web-based attacks | 3 |
| 14 | 18 | |
| 15 | Pattern Recognition Approach for Anomaly Detection of Web-based Attacks | 1 |
| 16 | A frame work for geometrical structure anomaly detection model | 2 |
| 17 | 15 |
About Aruna Jamdagni
Aruna Jamdagni is a scholar working on Computer Networks and Communications, Signal Processing and Hardware and Architecture, having authored 17 papers that have together received 525 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Advanced Malware Detection Techniques (7 papers). The work is most often cited by research in Signal Processing (225 citations), Computer Networks and Communications (475 citations) and Artificial Intelligence (375 citations). Aruna Jamdagni has collaborated with scholars based in Australia, Netherlands and United Kingdom. Frequent co-authors include Priyadarsi Nanda, Xiangjian He, Zhiyuan Tan, Ren Ping Liu, Jiankun Hu, Deepak Puthal, Ashish Nanda, Mohammed A. Ambusaidi and Lu Liang. Their work appears in journals such as IEEE Transactions on Computers, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.
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.