Linesh Raja

1.8k total citations · 1 hit paper
73 papers, 1.0k citations indexed

About

Linesh Raja is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Linesh Raja has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Networks and Communications and 16 papers in Information Systems. Recurrent topics in Linesh Raja's work include Smart Agriculture and AI (9 papers), COVID-19 diagnosis using AI (7 papers) and IoT and Edge/Fog Computing (6 papers). Linesh Raja is often cited by papers focused on Smart Agriculture and AI (9 papers), COVID-19 diagnosis using AI (7 papers) and IoT and Edge/Fog Computing (6 papers). Linesh Raja collaborates with scholars based in India, Saudi Arabia and Taiwan. Linesh Raja's co-authors include Vikram Puri, Anand Nayyar, Ramesh Chandra Poonia, Vijander Singh, Vaibhav Bhatnagar, Sandeep Kumar, Pranav Dass, Pankaj Agarwal, Ankit Kumar and Pankaj Dadheech and has published in prestigious journals such as Scientific Reports, Journal of Alloys and Compounds and Neural Computing and Applications.

In The Last Decade

Linesh Raja

66 papers receiving 966 citations

Hit Papers

Agriculture drones: A modern breakthrough in precision ag... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linesh Raja India 15 192 184 153 142 128 73 1.0k
Sandeep Kumar India 18 436 2.3× 205 1.1× 117 0.8× 147 1.0× 158 1.2× 141 1.4k
M. M. Kamruzzaman Saudi Arabia 22 276 1.4× 344 1.9× 244 1.6× 49 0.3× 357 2.8× 87 1.6k
Ramesh Chandra Poonia India 22 449 2.3× 312 1.7× 166 1.1× 185 1.3× 266 2.1× 129 1.7k
Madallah Alruwaili Saudi Arabia 19 326 1.7× 151 0.8× 105 0.7× 47 0.3× 72 0.6× 57 973
Saad Alanazi Saudi Arabia 20 376 2.0× 174 0.9× 132 0.9× 48 0.3× 57 0.4× 84 1.1k
Muhammad Muneeb Pakistan 11 381 2.0× 108 0.6× 184 1.2× 150 1.1× 425 3.3× 30 1.2k
Jyotir Moy Chatterjee India 19 590 3.1× 222 1.2× 221 1.4× 182 1.3× 128 1.0× 68 2.2k
Choujun Zhan China 17 236 1.2× 131 0.7× 96 0.6× 154 1.1× 173 1.4× 86 1.2k
Reem Alotaibi Saudi Arabia 18 381 2.0× 173 0.9× 120 0.8× 124 0.9× 125 1.0× 74 1.1k
Sharaf J. Malebary Saudi Arabia 18 413 2.2× 208 1.1× 171 1.1× 76 0.5× 202 1.6× 53 1.2k

Countries citing papers authored by Linesh Raja

Since Specialization
Citations

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

Fields of papers citing papers by Linesh Raja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linesh Raja

This figure shows the co-authorship network connecting the top 25 collaborators of Linesh Raja. A scholar is included among the top collaborators of Linesh 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 Linesh Raja. Linesh 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.
Kumar, Abhishek, et al.. (2025). Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics. Scientific Reports. 15(1). 26360–26360. 2 indexed citations
2.
Raja, Linesh, et al.. (2024). Developing a Hybrid Irrigation System for Smart Agriculture Using IoT Sensors and Machine Learning in Sri Ganganagar, Rajasthan. Journal of Sensors. 2024. 1–15. 19 indexed citations
3.
Sathish, T., Anirudh Gupta, Anuj Kumar, et al.. (2024). Sustainable nanoparticles of Non-Zero-valent iron (nZVI) production from various biological wastes. Journal of King Saud University - Science. 36(11). 103553–103553. 2 indexed citations
4.
Raja, Linesh, et al.. (2024). Real-time healthcare monitoring system through haversine distance calculation-based global positioning system. International Journal of Medical Engineering and Informatics. 16(2). 115–125.
5.
Raja, Linesh, et al.. (2024). A multi-radio antenna system for Cognitive Radio(CR), 5G, WLAN and UWB MIMO applications. AEU - International Journal of Electronics and Communications. 180. 155315–155315. 5 indexed citations
6.
Raja, Linesh, et al.. (2024). Applications of artificial intelligence in cyber security. Journal of Discrete Mathematical Sciences and Cryptography. 27(4). 1367–1375. 1 indexed citations
7.
Singh, Kamred Udham, et al.. (2024). Artificial Intelligent Techniques for Disease Detection in Tomato. 1–6.
8.
Bhatnagar, Vaibhav, et al.. (2023). Job decision latitude and gig working fashions towards work life integration in the new normal workplaces. AIP conference proceedings. 2778. 50002–50002. 1 indexed citations
9.
Bhatnagar, Vaibhav, et al.. (2023). A review of computer vision techniques with nature inspired algorithms. AIP conference proceedings. 2803. 20031–20031.
10.
Raja, Linesh, et al.. (2023). Industry – specific Intelligent Fire Management System: A survey. 2405. 1–5. 2 indexed citations
11.
Raja, Linesh, et al.. (2023). Fault Aware Data Prediction in Wireless Sensor Networks Using Machine Learning. 18–23. 1 indexed citations
12.
Singh, Vijander, et al.. (2023). A Review of Parking Slot Types and their Detection Techniques for Smart Cities. Smart Cities. 6(5). 2639–2660. 11 indexed citations
13.
Gourisaria, Mahendra Kumar, et al.. (2022). Comparison of Garbage Classification Frameworks Using Transfer Learning and CNN. International Journal of Social Ecology and Sustainable Development. 13(9). 1–23. 1 indexed citations
14.
Sharma, Shilpa, et al.. (2022). Hybrid HOG-SVM encrypted face detection and recognition model. Journal of Discrete Mathematical Sciences and Cryptography. 25(1). 205–218. 13 indexed citations
15.
Raja, Linesh, et al.. (2021). User Identification on Smartphone through Authentication Using Keystroke Dynamics. Turkish Online Journal of Qualitative Inquiry. 12(8). 200–211. 1 indexed citations
16.
Kumari, Rajani, Sandeep Kumar, Ramesh Chandra Poonia, et al.. (2021). Analysis and predictions of spread, recovery, and death caused by COVID-19 in India. Big Data Mining and Analytics. 4(2). 65–75. 81 indexed citations
17.
Sharma, Shilpa, et al.. (2020). Study of blockchain based smart grid for energy optimization. Materials Today Proceedings. 44. 4666–4670. 13 indexed citations
18.
Andrews, Leo John Baptist, et al.. (2019). Mobile android-based remote patient monitoring system through wearable sensors. Journal of Discrete Mathematical Sciences and Cryptography. 22(4). 557–568. 16 indexed citations
19.
Poonia, Ramesh Chandra, et al.. (2017). Foreword. Journal of Information and Optimization Sciences. 38(6). iii–iv. 1 indexed citations
20.
Raja, Linesh, et al.. (2017). SECURE ROUTING IN MANET USING HYBRID CRYPTOGRAPHY. International Journal of Research -GRANTHAALAYAH. 5(4). 83–91. 1 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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