Anu Jagannath
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 10%
- Signal Processing top 10%
- Co-authors
- Jithin JagannathTommaso MelodiaFrancesco RestucciaNicholas PoloskyKeyvan RamezanpourAndrew DrozdAndrew J. BurgerYanzhi Wang
- Topics
- Wireless Signal Modulation Classification (10 papers)Energy Harvesting in Wireless Networks (7 papers)Radar Systems and Signal Processing (5 papers)
- Partner nations
- United StatesItaly
In The Last Decade
Anu Jagannath
23 papers receiving 571 citations
Peers
Comparison fields: 5 of 65
- Electrical and Electronic Engineering 285
- Artificial Intelligence 280
- Computer Networks and Communications 208
- Aerospace Engineering 131
- Signal Processing 87
Countries citing papers authored by Anu Jagannath
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 127 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 42 | |
| 11 | 19 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 82 | |
| 15 | Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning | 4 |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 17 | |
| 19 | 188 | |
| 20 | 2 |
About Anu Jagannath
Anu Jagannath is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 23 papers that have together received 609 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (10 papers), Energy Harvesting in Wireless Networks (7 papers) and Radar Systems and Signal Processing (5 papers). The work is most often cited by research in Computer Networks and Communications (208 citations), Artificial Intelligence (280 citations) and Signal Processing (87 citations). Anu Jagannath has collaborated with scholars based in United States and Italy. Frequent co-authors include Jithin Jagannath, Tommaso Melodia, Francesco Restuccia, Nicholas Polosky, Keyvan Ramezanpour, Andrew Drozd, Andrew J. Burger and Yanzhi Wang. Their work appears in journals such as IEEE Communications Magazine, IEEE Communications Letters and Computer Networks.
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.