R. Arshath Raja

726 total citations
20 papers, 256 citations indexed

About

R. Arshath Raja is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, R. Arshath Raja has authored 20 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in R. Arshath Raja's work include Advanced MIMO Systems Optimization (4 papers), Advanced Machining and Optimization Techniques (3 papers) and Advanced Surface Polishing Techniques (3 papers). R. Arshath Raja is often cited by papers focused on Advanced MIMO Systems Optimization (4 papers), Advanced Machining and Optimization Techniques (3 papers) and Advanced Surface Polishing Techniques (3 papers). R. Arshath Raja collaborates with scholars based in India, Oman and Australia. R. Arshath Raja's co-authors include N. Yuvaraj, N. Yuvaraj, K. Praghash, T. Karthikeyan, Gaurav Dhiman, K. Srihari, Amir H. Gandomi, Suresh Kallam, Rizwan Patan and Amandeep Kaur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Expert Systems with Applications.

In The Last Decade

R. Arshath Raja

17 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Arshath Raja India 10 75 65 50 50 32 20 256
Raju Anitha India 9 75 1.0× 64 1.0× 43 0.9× 40 0.8× 33 1.0× 47 269
P. Ajitha India 10 62 0.8× 69 1.1× 57 1.1× 40 0.8× 47 1.5× 51 265
S. Sivakumar India 12 123 1.6× 79 1.2× 37 0.7× 32 0.6× 35 1.1× 38 329
T. Karthikeyan India 10 77 1.0× 86 1.3× 84 1.7× 54 1.1× 61 1.9× 35 289
P. Kuppusamy India 11 100 1.3× 49 0.8× 154 3.1× 53 1.1× 56 1.8× 53 402
Fahad Alqurashi Saudi Arabia 8 38 0.5× 42 0.6× 64 1.3× 40 0.8× 23 0.7× 29 230
Majid Ali Khan Saudi Arabia 8 36 0.5× 34 0.5× 35 0.7× 51 1.0× 22 0.7× 34 204
Sohaib Bin Altaf Khattak Saudi Arabia 9 119 1.6× 35 0.5× 83 1.7× 25 0.5× 24 0.8× 25 227
T. Rajasanthosh Kumar India 6 53 0.7× 30 0.5× 27 0.5× 26 0.5× 32 1.0× 11 173

Countries citing papers authored by R. Arshath Raja

Since Specialization
Citations

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

Fields of papers citing papers by R. Arshath Raja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Arshath Raja. 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 R. Arshath Raja. The network helps show where R. Arshath Raja may publish in the future.

Co-authorship network of co-authors of R. Arshath Raja

This figure shows the co-authorship network connecting the top 25 collaborators of R. Arshath Raja. A scholar is included among the top collaborators of R. Arshath Raja 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 R. Arshath Raja. R. Arshath Raja 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.
Raja, R. Arshath, et al.. (2025). AI-Driven Ensemble Deep Learning Framework for Automated Neurological Disorder Diagnosis from MRI Scans. Journal of Neonatal Surgery. 14(6S). 187–197.
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Raja, R. Arshath, et al.. (2023). HARDeep: design and evaluation of a deep ensemble model for human activity recognition. International Journal of Innovative Computing and Applications. 14(3). 155–166. 3 indexed citations
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Raja, R. Arshath & Sanjeev Kumar. (2023). Cupola slag as a green concrete-making material and its performance characteristics - A review. Renewable and Sustainable Energy Reviews. 185. 113573–113573. 6 indexed citations
7.
Dhiman, Gaurav, et al.. (2022). Multi-modal active learning with deep reinforcement learning for target feature extraction in multi-media image processing applications. Multimedia Tools and Applications. 82(4). 5343–5367. 30 indexed citations
8.
Raja, R. Arshath, et al.. (2022). Improved spectral efficiency in massive MIMO ultra-dense networks through optimal pilot-based vector perturbation precoding. Optik. 273. 170370–170370. 4 indexed citations
9.
Yuvaraj, N., et al.. (2021). A review of various reversible embedding mechanisms. 1(3). 233–233. 3 indexed citations
10.
Yuvaraj, N., et al.. (2021). Analysis of protein-ligand interactions of SARS-CoV-2 against selective drug using deep neural networks. Big Data Mining and Analytics. 4(2). 76–83. 36 indexed citations
11.
Yuvaraj, N., K. Praghash, R. Arshath Raja, & T. Karthikeyan. (2021). An Investigation of Garbage Disposal Electric Vehicles (GDEVs) Integrated with Deep Neural Networking (DNN) and Intelligent Transportation System (ITS) in Smart City Management System (SCMS). Wireless Personal Communications. 123(2). 1733–1752. 42 indexed citations
12.
Yuvaraj, N., R. Arshath Raja, T. Karthikeyan, & K. Praghash. (2021). Improved Authentication in Secured Multicast Wireless Sensor Network (MWSN) Using Opposition Frog Leaping Algorithm to Resist Man-in-Middle Attack. Wireless Personal Communications. 123(2). 1715–1731. 13 indexed citations
13.
Yuvaraj, N., et al.. (2020). Improved Energy Efficient Wireless Sensor Networks Using Multicast Particle Swarm Optimization. SSRN Electronic Journal. 9 indexed citations
14.
Yuvaraj, N., et al.. (2020). EDM Process by Using Copper Electrode with INCONEL 625 Material. IOP Conference Series Materials Science and Engineering. 811(1). 12011–12011. 9 indexed citations
15.
Rajavel, R., et al.. (2020). Investigation on machinability of Al 2024& 7.5% Si3N4 metal matrix composite with PMEDM using Taguchi based GRA. Materials Today Proceedings. 46. 9449–9453. 10 indexed citations
16.
Selvarajan, L., et al.. (2020). Effects of process parameter on performance measures in electrical discharge machining using copper and brass electrodes. Materials Today Proceedings. 46. 9257–9262. 7 indexed citations
17.
Yuvaraj, N., et al.. (2020). Improved salient object detection using hybrid Convolution Recurrent Neural Network. Expert Systems with Applications. 166. 114064–114064. 54 indexed citations
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Yuvaraj, N., et al.. (2018). Analysis on Improving the Response Time with PIDSARSA-RAL in ClowdFlows Mining Platform. EAI Endorsed Transactions on Energy Web. 5(20). e2–e2. 9 indexed citations
20.
Raja, R. Arshath, et al.. (2016). AN ENSEMBLE APPROACH FOR SENTIMENT CLASSIFICATION: VOTING FOR CLASSES AND AGAINST THEM. SHILAP Revista de lepidopterología. 6(4). 1281–1286. 2 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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