Rajanikanth Aluvalu

2.0k total citations
97 papers, 845 citations indexed

About

Rajanikanth Aluvalu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Rajanikanth Aluvalu has authored 97 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 34 papers in Artificial Intelligence and 30 papers in Computer Networks and Communications. Recurrent topics in Rajanikanth Aluvalu's work include IoT and Edge/Fog Computing (15 papers), Cloud Computing and Resource Management (10 papers) and Cloud Data Security Solutions (9 papers). Rajanikanth Aluvalu is often cited by papers focused on IoT and Edge/Fog Computing (15 papers), Cloud Computing and Resource Management (10 papers) and Cloud Data Security Solutions (9 papers). Rajanikanth Aluvalu collaborates with scholars based in India, Saudi Arabia and Ethiopia. Rajanikanth Aluvalu's co-authors include M. A. Jabbar, S. Sai Satyanarayana Reddy, V. Uma Maheswari, Ketan Kotecha, Shilpa Gite, MVV Prasad Kantipudi, Adarsh Kumar, Shakila Basheer, Kishor V. Bhadane and Rajalakshmi Krishnamurthi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Rajanikanth Aluvalu

81 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajanikanth Aluvalu India 15 341 263 168 113 100 97 845
Alaa O. Khadidos Saudi Arabia 14 200 0.6× 219 0.8× 163 1.0× 91 0.8× 83 0.8× 81 689
K. Vijayakumar India 18 342 1.0× 244 0.9× 194 1.2× 70 0.6× 106 1.1× 73 980
Norshakirah Aziz Malaysia 12 311 0.9× 196 0.7× 130 0.8× 119 1.1× 80 0.8× 42 788
Mubarak Alrashoud Saudi Arabia 19 481 1.4× 380 1.4× 245 1.5× 128 1.1× 107 1.1× 67 1.2k
Raneem Qaddoura Jordan 16 441 1.3× 205 0.8× 143 0.9× 153 1.4× 56 0.6× 40 766
Muhammad Saleem Pakistan 15 245 0.7× 217 0.8× 208 1.2× 62 0.5× 135 1.4× 36 896
Teddy Mantoro Indonesia 17 406 1.2× 225 0.9× 253 1.5× 136 1.2× 349 3.5× 202 1.2k
Lewis Nkenyereye South Korea 20 304 0.9× 460 1.7× 248 1.5× 87 0.8× 101 1.0× 76 1.1k
Zafer Al-Makhadmeh Saudi Arabia 18 296 0.9× 335 1.3× 266 1.6× 59 0.5× 139 1.4× 34 961
Ankur Dumka India 14 200 0.6× 175 0.7× 107 0.6× 69 0.6× 83 0.8× 93 712

Countries citing papers authored by Rajanikanth Aluvalu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Aluvalu, Rajanikanth, et al.. (2025). Quantum Leap in Automation: Exploring Quantum Machine Learning for Enhanced Precision in Optoelectronic Robotic Systems. Journal Européen des Systèmes Automatisés. 58(6). 1165–1177.
2.
Pustokhin, Denis A., et al.. (2025). Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment. Scientific Reports. 15(1). 14166–14166. 2 indexed citations
3.
4.
Aluvalu, Rajanikanth, et al.. (2024). IWHO-Based Cluster Head Selection for Vehicle-to-Vehicle Communication in Intelligent Transport System. International Journal of Transport Development and Integration. 8(2). 251–260. 4 indexed citations
5.
Maheswari, V. Uma & Rajanikanth Aluvalu. (2024). Sustainable Development Using Private AI. 1 indexed citations
6.
Aluvalu, Rajanikanth, et al.. (2024). Learner-Centric Education in Heterogeneous Learning Environments. International Journal of Online Pedagogy and Course Design. 14(1). 1–13. 2 indexed citations
7.
Maheswari, V. Uma, et al.. (2024). Development of fuzzy inference engine for prediction of mechanical properties in TIG-welded Al-65,032 alloy through reduced experimentation using Taguchi method. International Journal on Interactive Design and Manufacturing (IJIDeM). 19(3). 2077–2088. 1 indexed citations
8.
Aluvalu, Rajanikanth, et al.. (2023). The novel emergency hospital services for patients using digital twins. Microprocessors and Microsystems. 98. 104794–104794. 50 indexed citations
9.
Maheswari, V. Uma, et al.. (2023). Future Food Production Prediction Using AROA Based Hybrid Deep Learning Model in Agri-Sector. SHILAP Revista de lepidopterología. 3(4). 521–536. 20 indexed citations
10.
Aluvalu, Rajanikanth, et al.. (2023). A Secure Network with Minimization of Energy for E-healthcare Applicationin IoMT. Recent Patents on Engineering. 18(9). 1 indexed citations
11.
Manoharan, Hariprasath, et al.. (2023). Future transportation computing model with trifold algorithm for real-time multipath networks. Journal of Autonomous Intelligence. 6(2). 618–618. 3 indexed citations
12.
Aluvalu, Rajanikanth, et al.. (2022). Blockchain and IoT architectures in autonomous vehicles. International Journal of Vehicle Autonomous Systems. 16(2/3/4). 180–203.
13.
Reddy, A. Mallikarjuna, et al.. (2022). An Efficient Multilevel Thresholding Scheme for Heart Image Segmentation Using a Hybrid Generalized Adversarial Network. Journal of Sensors. 2022. 1–11. 19 indexed citations
14.
Bathla, Gourav, Kishor V. Bhadane, Rahul Kumar Singh, et al.. (2022). Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities. Mobile Information Systems. 2022. 1–36. 123 indexed citations
15.
Mahesh, T R, et al.. (2022). Cervical Cancer Diagnosis Using Intelligent Living Behavior of Artificial Jellyfish Optimized With Artificial Neural Network. IEEE Access. 10. 126957–126968. 25 indexed citations
16.
Ramana, Kadiyala, et al.. (2022). Multipath Transmission Control Protocol for Live Virtual Machine Migration in the Cloud Environment. Wireless Communications and Mobile Computing. 2022(1). 3 indexed citations
17.
Kumar, Gaurav, et al.. (2022). An Effective Bootstrapping Framework for Web Services Discovery Using Trigram Approach. Mobile Information Systems. 2022. 1–12. 3 indexed citations
18.
Kantipudi, MVV Prasad, et al.. (2021). Impact of Covid-19 on Indian Higher Education. Insecta mundi. 6 indexed citations
19.
20.
Gite, Shilpa, et al.. (2021). A review of microscopic analysis of blood cells for disease detection with AI perspective. PeerJ Computer Science. 7. e460–e460. 38 indexed citations

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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