Anu Jagannath

1.2k total citations
23 papers, 609 citations indexed

About

Anu Jagannath is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Anu Jagannath has authored 23 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Anu Jagannath's work include Wireless Signal Modulation Classification (10 papers), Energy Harvesting in Wireless Networks (7 papers) and Radar Systems and Signal Processing (5 papers). Anu Jagannath is often cited by papers focused on Wireless Signal Modulation Classification (10 papers), Energy Harvesting in Wireless Networks (7 papers) and Radar Systems and Signal Processing (5 papers). Anu Jagannath collaborates with scholars based in United States and Italy. Anu Jagannath's co-authors include Jithin Jagannath, Tommaso Melodia, Francesco Restuccia, Nicholas Polosky, Keyvan Ramezanpour, Andrew Drozd, Andrew J. Burger and Yanzhi Wang and has published in prestigious journals such as IEEE Communications Magazine, IEEE Communications Letters and Computer Networks.

In The Last Decade

Anu Jagannath

23 papers receiving 571 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anu Jagannath United States 10 285 280 208 131 87 23 609
Kemal Davaslıoğlu United States 16 387 1.4× 385 1.4× 278 1.3× 86 0.7× 88 1.0× 37 740
Debashri Roy United States 14 318 1.1× 296 1.1× 111 0.5× 128 1.0× 80 0.9× 53 623
Jithin Jagannath United States 16 430 1.5× 430 1.5× 364 1.8× 209 1.6× 116 1.3× 39 930
Peng Hao China 10 334 1.2× 200 0.7× 266 1.3× 74 0.6× 53 0.6× 43 579
Minhoe Kim South Korea 9 670 2.4× 259 0.9× 352 1.7× 124 0.9× 91 1.0× 31 922
Ke He China 11 344 1.2× 183 0.7× 264 1.3× 107 0.8× 26 0.3× 27 577
Kathiravetpillai Sivanesan Canada 10 527 1.8× 150 0.5× 315 1.5× 64 0.5× 49 0.6× 32 655
Shujun Han China 15 437 1.5× 155 0.6× 324 1.6× 138 1.1× 29 0.3× 85 775
Tiep M. Hoang United Kingdom 16 673 2.4× 112 0.4× 327 1.6× 180 1.4× 41 0.5× 37 818
Zunwen He China 16 597 2.1× 173 0.6× 234 1.1× 230 1.8× 42 0.5× 57 867

Countries citing papers authored by Anu Jagannath

Since Specialization
Citations

This map shows the geographic impact of Anu Jagannath'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 Anu Jagannath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anu Jagannath more than expected).

Fields of papers citing papers by Anu Jagannath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anu Jagannath. 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 Anu Jagannath. The network helps show where Anu Jagannath may publish in the future.

Co-authorship network of co-authors of Anu Jagannath

This figure shows the co-authorship network connecting the top 25 collaborators of Anu Jagannath. A scholar is included among the top collaborators of Anu Jagannath 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 Anu Jagannath. Anu Jagannath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jagannath, Anu, et al.. (2023). Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. IEEE Communications Magazine. 62(5). 50–56. 6 indexed citations
2.
Jagannath, Jithin, et al.. (2023). Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. IEEE Communications Letters. 27(7). 1789–1793. 1 indexed citations
3.
Jagannath, Anu & Jithin Jagannath. (2023). Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. IEEE Transactions on Cognitive Communications and Networking. 9(4). 940–949. 19 indexed citations
4.
5.
Jagannath, Anu, et al.. (2022). A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges. Computer Networks. 219. 109455–109455. 127 indexed citations
6.
Jagannath, Anu, et al.. (2022). RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 4607–4612. 11 indexed citations
7.
Jagannath, Jithin, et al.. (2022). MR-iNet Gym. 51–56. 5 indexed citations
8.
Jagannath, Jithin, et al.. (2022). Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials. Computer Networks. 209. 108917–108917. 8 indexed citations
9.
Jagannath, Anu, Jithin Jagannath, Yanzhi Wang, & Tommaso Melodia. (2022). Deep neural network goes lighter: a case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks. 10–10. 1 indexed citations
10.
Ramezanpour, Keyvan, Jithin Jagannath, & Anu Jagannath. (2022). Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective. Computer Networks. 221. 109515–109515. 42 indexed citations
11.
Jagannath, Anu & Jithin Jagannath. (2022). Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression. Physical Communication. 54. 101793–101793. 19 indexed citations
12.
Jagannath, Jithin, Keyvan Ramezanpour, & Anu Jagannath. (2022). Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks. 81–86. 25 indexed citations
13.
Jagannath, Anu & Jithin Jagannath. (2021). Dataset for modulation classification and signal type classification for multi-task and single task learning. Computer Networks. 199. 108441–108441. 5 indexed citations
14.
Jagannath, Anu, Jithin Jagannath, & Tommaso Melodia. (2021). Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning With Deep Unfolding. IEEE Transactions on Artificial Intelligence. 2(6). 528–536. 82 indexed citations
15.
Jagannath, Anu, Jithin Jagannath, & Tommaso Melodia. (2020). Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning. arXiv (Cornell University). 4 indexed citations
16.
Jagannath, Anu, Jithin Jagannath, & Andrew Drozd. (2019). Artificial Intelligence-based Cognitive Cross-layer Decision Engine for Next-Generation Space Mission. 1–6. 7 indexed citations
17.
Jagannath, Jithin, et al.. (2019). Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks. 1–4. 3 indexed citations
18.
Jagannath, Jithin, et al.. (2019). HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks. Ad Hoc Networks. 89. 218–235. 17 indexed citations
19.
Jagannath, Jithin, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, & Tommaso Melodia. (2019). Machine learning for wireless communications in the Internet of Things: A comprehensive survey. Ad Hoc Networks. 93. 101913–101913. 188 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kemal Davaslıoğlu Breakdown of academic impact, for papers by Debashri Roy Breakdown of academic impact, for papers by Jithin Jagannath Breakdown of academic impact, for papers by Peng Hao Breakdown of academic impact, for papers by Minhoe Kim Breakdown of academic impact, for papers by Ke He Breakdown of academic impact, for papers by Kathiravetpillai Sivanesan Breakdown of academic impact, for papers by Shujun Han Breakdown of academic impact, for papers by Tiep M. Hoang Breakdown of academic impact, for papers by Zunwen He
Rankless by CCL
2026