Rajanikanth Aluvalu
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- M. A. JabbarS. Sai Satyanarayana ReddyV. Uma MaheswariKetan KotechaMVV Prasad KantipudiShilpa GiteGourav BathlaRahul Kumar Singh
- Topics
- IoT and Edge/Fog Computing (15 papers)Cloud Computing and Resource Management (10 papers)Cloud Data Security Solutions (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Rajanikanth Aluvalu
81 papers receiving 777 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 341
- Computer Networks and Communications 263
- Information Systems 168
- Signal Processing 113
- Computer Vision and Pattern Recognition 100
Countries citing papers authored by Rajanikanth Aluvalu
This map shows the geographic impact of Rajanikanth Aluvalu'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 Rajanikanth Aluvalu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajanikanth Aluvalu more than expected).
Fields of papers citing papers by Rajanikanth Aluvalu
This network shows the impact of papers produced by Rajanikanth Aluvalu. 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 Rajanikanth Aluvalu. The network helps show where Rajanikanth Aluvalu may publish in the future.
Co-authorship network of co-authors of Rajanikanth Aluvalu
This figure shows the co-authorship network connecting the top 25 collaborators of Rajanikanth Aluvalu. A scholar is included among the top collaborators of Rajanikanth Aluvalu 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 Rajanikanth Aluvalu. Rajanikanth Aluvalu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 50 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 123 | |
| 15 | 3 | |
| 16 | 19 | |
| 17 | 25 | |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 38 |
About Rajanikanth Aluvalu
Rajanikanth Aluvalu is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 97 papers that have together received 845 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Cloud Computing and Resource Management (10 papers) and Cloud Data Security Solutions (9 papers). The work is most often cited by research in Health Informatics (19 citations), Computer Networks and Communications (263 citations) and Artificial Intelligence (341 citations). Rajanikanth Aluvalu has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include M. A. Jabbar, S. Sai Satyanarayana Reddy, V. Uma Maheswari, Ketan Kotecha, MVV Prasad Kantipudi, Shilpa Gite, Gourav Bathla, Rahul Kumar Singh, Shakila Basheer and Kishor V. Bhadane. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.