Ch. Rajendra Prasad

786 total citations
77 papers, 472 citations indexed

About

Ch. Rajendra Prasad is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Neurology. According to data from OpenAlex, Ch. Rajendra Prasad has authored 77 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 22 papers in Electrical and Electronic Engineering and 16 papers in Neurology. Recurrent topics in Ch. Rajendra Prasad's work include Brain Tumor Detection and Classification (16 papers), IoT-based Smart Home Systems (10 papers) and IoT and Edge/Fog Computing (7 papers). Ch. Rajendra Prasad is often cited by papers focused on Brain Tumor Detection and Classification (16 papers), IoT-based Smart Home Systems (10 papers) and IoT and Edge/Fog Computing (7 papers). Ch. Rajendra Prasad collaborates with scholars based in India and Nepal. Ch. Rajendra Prasad's co-authors include Sreedhar Kollem, Eelandula Kumaraswamy, J. Ajayan, P. Bhuyan, Rajib Saha, Kommabatla Mahender, Sumantra Mandal, Katta Ramalinga Reddy, Prashanth Baskaran and Rambabu Vatti and has published in prestigious journals such as Materials & Design, Multimedia Tools and Applications and International Journal of Imaging Systems and Technology.

In The Last Decade

Ch. Rajendra Prasad

55 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ch. Rajendra Prasad India 12 174 106 91 88 84 77 472
N. Suthanthira Vanitha India 15 64 0.4× 151 1.4× 26 0.3× 160 1.8× 60 0.7× 76 547
Lu Han China 12 75 0.4× 92 0.9× 24 0.3× 69 0.8× 41 0.5× 41 423
P. Sivakumar India 10 77 0.4× 88 0.8× 25 0.3× 36 0.4× 31 0.4× 68 348
N. B. Prakash India 13 114 0.7× 90 0.8× 33 0.4× 70 0.8× 57 0.7× 49 478
Pi-Yun Chen Taiwan 12 80 0.5× 107 1.0× 33 0.4× 112 1.3× 55 0.7× 46 415
Mahendra Kumar India 18 123 0.7× 271 2.6× 14 0.2× 80 0.9× 31 0.4× 57 708
P. Prakasam India 15 76 0.4× 323 3.0× 13 0.1× 152 1.7× 52 0.6× 79 703
C. Nagaraju India 10 93 0.5× 28 0.3× 14 0.2× 35 0.4× 20 0.2× 66 338
Mohammed F. Alsharekh Saudi Arabia 11 75 0.4× 135 1.3× 41 0.5× 55 0.6× 13 0.2× 23 367
Semih Ergi̇n Türkiye 12 101 0.6× 26 0.2× 19 0.2× 212 2.4× 226 2.7× 45 808

Countries citing papers authored by Ch. Rajendra Prasad

Since Specialization
Citations

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

Fields of papers citing papers by Ch. Rajendra Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ch. Rajendra Prasad. 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 Ch. Rajendra Prasad. The network helps show where Ch. Rajendra Prasad may publish in the future.

Co-authorship network of co-authors of Ch. Rajendra Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of Ch. Rajendra Prasad. A scholar is included among the top collaborators of Ch. Rajendra Prasad 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 Ch. Rajendra Prasad. Ch. Rajendra Prasad 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.
Prasad, Ch. Rajendra, et al.. (2025). Self-Prompting Hybrid YOLOv12-SAM 2 Model for MRI Brain Tumour Segmentation in Real Time. The Open Public Health Journal. 18(1).
2.
Hossain, Ashraf, et al.. (2025). Human activity recognition using a bagging-based deep learning framework with convolutional capsule networks and spiking neural networks. International Journal of Information Technology. 17(6). 3255–3273. 2 indexed citations
3.
Prasad, Ch. Rajendra, et al.. (2025). A systematic review on deep learning based brain tumor segmentation and detection using MRI: Past insights, present techniques and future trends. Computational Biology and Chemistry. 120(Pt 2). 108696–108696.
4.
5.
Kollem, Sreedhar, et al.. (2024). A Novel DL Structure for Brain Tumor Identification Using MRI Images. 1475–1481. 1 indexed citations
6.
Prasad, Ch. Rajendra, et al.. (2024). Night vision security patrolling robot. AIP conference proceedings. 3170. 30008–30008. 1 indexed citations
7.
Prasad, Ch. Rajendra, et al.. (2024). CNN-Based Osteoporosis Diagnosis: A Novel Approach to Bone Fragility Analysis. 1111–1116.
8.
Shetty, Sanath Kumar, et al.. (2024). Sign Language to Speech Conversion using Esp32. 1–4.
9.
Prasad, Ch. Rajendra, et al.. (2024). TinyML-based Real-Time System for Detecting Falls in Elderly People. 1–6. 2 indexed citations
10.
Kollem, Sreedhar, Katta Ramalinga Reddy, Ch. Rajendra Prasad, et al.. (2023). AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation. International Journal of Imaging Systems and Technology. 33(4). 1306–1322. 32 indexed citations
11.
Prasad, Ch. Rajendra, et al.. (2023). AGRI-PRO: Crop, Fertilizer and Market Place Recommender for Farmers Using Machine Learning Algorithms. 1169–1175. 4 indexed citations
12.
13.
Prasad, Ch. Rajendra, et al.. (2022). Optimization of Task Offloading for smart cities using IoT with Fog Computing- A Survey. 1–5. 7 indexed citations
14.
Prasad, Ch. Rajendra, et al.. (2022). A Deep Learning Model for Traffic Sign Detection and Recognition using Convolution Neural Network. 2022 2nd International Conference on Intelligent Technologies (CONIT). 1–5. 11 indexed citations
15.
Kollem, Sreedhar, et al.. (2022). A General Regression Neural Network based Blurred Image Restoration. 2. 1–7. 6 indexed citations
16.
Kollem, Sreedhar, et al.. (2022). Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage. Multimedia Tools and Applications. 82(14). 20741–20770. 24 indexed citations
17.
Kumaraswamy, Eelandula, et al.. (2020). Digital Watermarking: State of The Art and Research Challenges in Health Care & Multimedia Applications. IOP Conference Series Materials Science and Engineering. 981(3). 32031–32031. 35 indexed citations
18.
Ravi, V., et al.. (2020). Effective Power Consumption Monitoring of Smart meter through IoT. IOP Conference Series Materials Science and Engineering. 981(3). 32015–32015. 4 indexed citations
19.
Prasad, Ch. Rajendra, et al.. (2017). Garbage Monitoring System using Arduino. International Journal of Trend in Scientific Research and Development. Volume-1(Issue-6). 808–811. 7 indexed citations
20.
Prasad, Ch. Rajendra, et al.. (2017). Transmission System of Go-Kart. IARJSET. 4(5). 25–27. 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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