Aruna Jamdagni

27 total papers · 837 total citations
17 papers, 524 citations indexed

About

Aruna Jamdagni is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Aruna Jamdagni has authored 17 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Aruna Jamdagni's 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). Aruna Jamdagni is often cited by papers focused on Network Security and Intrusion Detection (14 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Advanced Malware Detection Techniques (7 papers). Aruna Jamdagni collaborates with scholars based in Australia, China and United Kingdom. Aruna Jamdagni's co-authors include Priyadarsi Nanda, Xiangjian He, Zhiyuan Tan, Ren Ping Liu, Jiankun Hu, Ashish Nanda, Deepak Puthal, Lu Liang and Mohammed A. Ambusaidi and has published in prestigious journals such as IEEE Transactions on Computers, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Aruna Jamdagni

17 papers receiving 478 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aruna Jamdagni 474 374 224 91 40 17 524
Hadeel Alazzam 390 0.8× 331 0.9× 214 1.0× 89 1.0× 19 0.5× 26 510
Shanqing Jiang 481 1.0× 377 1.0× 270 1.2× 65 0.7× 19 0.5× 11 552
Johnson Thomas 408 0.9× 295 0.8× 175 0.8× 103 1.1× 40 1.0× 17 468
Srilatha Chebrolu 379 0.8× 348 0.9× 189 0.8× 90 1.0× 40 1.0× 15 484
Jungsuk Song 435 0.9× 346 0.9× 237 1.1× 75 0.8× 25 0.6× 25 470
Gisung Kim 463 1.0× 360 1.0× 229 1.0× 58 0.6× 34 0.8× 8 518
Wai Weng Lo 387 0.8× 353 0.9× 185 0.8× 96 1.1× 14 0.3× 9 532
Lowri Williams 391 0.8× 366 1.0× 256 1.1× 76 0.8× 13 0.3× 17 560
Zhihan Li 353 0.7× 390 1.0× 181 0.8× 39 0.4× 25 0.6× 11 506
Congyuan Xu 429 0.9× 371 1.0× 206 0.9× 55 0.6× 30 0.8× 14 523

Countries citing papers authored by Aruna Jamdagni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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