R. Manjula Devi

716 total citations
41 papers, 390 citations indexed

About

R. Manjula Devi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, R. Manjula Devi has authored 41 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in R. Manjula Devi's work include Digital Imaging for Blood Diseases (7 papers), Retinal Imaging and Analysis (4 papers) and Neural Networks and Applications (4 papers). R. Manjula Devi is often cited by papers focused on Digital Imaging for Blood Diseases (7 papers), Retinal Imaging and Analysis (4 papers) and Neural Networks and Applications (4 papers). R. Manjula Devi collaborates with scholars based in India, Oman and Saudi Arabia. R. Manjula Devi's co-authors include M. Premkumar, P. Keerthika, Kottakkaran Sooppy Nisar, Pradeep Jangir, R. Sowmya, B. Santhosh Kumar, P. Suresh, Rajvikram Madurai Elavarasan, Rajesh Kumar Dhanaraj and Mohamed Abdelghany Elkotb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

R. Manjula Devi

37 papers receiving 367 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. Manjula Devi India 12 157 72 71 45 41 41 390
Fatih Başçi̇ftçi̇ Türkiye 12 91 0.6× 30 0.4× 28 0.4× 34 0.8× 45 1.1× 64 404
Ch. Usha Kumari India 11 125 0.8× 55 0.8× 61 0.9× 27 0.6× 25 0.6× 43 593
Pakize Erdoğmuş Türkiye 11 133 0.8× 85 1.2× 42 0.6× 10 0.2× 30 0.7× 45 328
Zeynep Garip Türkiye 10 140 0.9× 66 0.9× 44 0.6× 14 0.3× 22 0.5× 40 331
Laxman Singh India 13 154 1.0× 186 2.6× 129 1.8× 51 1.1× 53 1.3× 52 481
Swati Shilaskar India 7 174 1.1× 72 1.0× 21 0.3× 19 0.4× 106 2.6× 84 374
Moolchand Sharma India 12 115 0.7× 37 0.5× 34 0.5× 30 0.7× 16 0.4× 37 417
Kang Li China 10 169 1.1× 94 1.3× 49 0.7× 17 0.4× 7 0.2× 47 391
Vrince Vimal India 12 131 0.8× 71 1.0× 28 0.4× 83 1.8× 11 0.3× 44 421
Muhammad Awais Pakistan 9 159 1.0× 68 0.9× 30 0.4× 19 0.4× 69 1.7× 18 376

Countries citing papers authored by R. Manjula Devi

Since Specialization
Citations

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

Fields of papers citing papers by R. Manjula Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Manjula Devi

This figure shows the co-authorship network connecting the top 25 collaborators of R. Manjula Devi. A scholar is included among the top collaborators of R. Manjula Devi 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. Manjula Devi. R. Manjula Devi 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.
Devi, R. Manjula. (2024). IPSHO-Fed: a hybrid federated learning and spotted hyena optimization approach for trust assessment. Neural Computing and Applications. 36(10). 5571–5594. 1 indexed citations
2.
Premkumar, M., et al.. (2024). Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems. Scientific Reports. 14(1). 5434–5434. 31 indexed citations
3.
Devi, R. Manjula, et al.. (2024). Alzheimer’s Disease Diagnosis and Categorization using Deep Learning. 189–199. 1 indexed citations
4.
Suresh, P., et al.. (2024). Optimized task scheduling approach with fault tolerant load balancing using multi-objective cat swarm optimization for multi-cloud environment. Applied Soft Computing. 165. 112129–112129. 12 indexed citations
5.
Devi, R. Manjula, et al.. (2023). IGJO: An Improved Golden Jackel Optimization Algorithm Using Local Escaping Operator for Feature Selection Problems. Neural Processing Letters. 55(5). 6443–6531. 27 indexed citations
6.
Devi, R. Manjula, et al.. (2023). An integrated network topology and deep learning model for prediction of Alzheimer disease candidate genes. Soft Computing. 27(19). 14189–14203. 14 indexed citations
7.
Devi, R. Manjula, et al.. (2023). Automated diagnostic classification of diabetic retinopathy with microvascular structure of fundus images using deep learning method. Biomedical Signal Processing and Control. 88. 105616–105616. 26 indexed citations
8.
Devi, R. Manjula, et al.. (2023). Plant type classification based on leaves using Fusion based Support Vector Machine. 5. 1–6. 1 indexed citations
9.
Devi, R. Manjula, et al.. (2023). Innovative Video Classification Method based on Deep Learning Approach. Recent Patents on Engineering. 19(2). 1 indexed citations
10.
Devi, R. Manjula, et al.. (2023). Deep Residual Learning for Lung Cancer Nodules Detection and Classification. 907–912. 2 indexed citations
11.
Devi, R. Manjula, et al.. (2022). Design of intelligent IoT for smart healthcare monitoring system using optimal neural network (IONN) model. International Journal of Health Sciences. 13422–13434. 3 indexed citations
12.
Devi, R. Manjula, et al.. (2022). Smart Weather Forecasting using Machine Learning Approach. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). 1072–1078. 4 indexed citations
13.
Keerthika, P., et al.. (2021). Effective prediction on music therapy using hybrid SVM-ANN approach. SHILAP Revista de lepidopterología. 37. 1014–1014. 6 indexed citations
14.
Devi, R. Manjula, M. Premkumar, Pradeep Jangir, et al.. (2021). IRKO: An Improved Runge-Kutta Optimization Algorithm for Global Optimization Problems. Computers, materials & continua/Computers, materials & continua (Print). 70(3). 4803–4827. 39 indexed citations
15.
Gopinath, Pramod, et al.. (2021). Characterization of jute fibre-epoxy reinforced composites. Materials Today Proceedings. 46. 8858–8863. 7 indexed citations
16.
17.
Devi, R. Manjula, et al.. (2020). Smart Lpg Gas Monitoring and Automatic Cylinder Reservation System. International Journal of Recent Technology and Engineering (IJRTE). 9(1). 1250–1252.
18.
Keerthika, P., et al.. (2019). Design o f a Fault Tolerant Strategy f or Resource Scheduling i n Cloud Environment. International Journal of Engineering and Advanced Technology. 9(1). 5121–5128. 1 indexed citations
19.
Devi, R. Manjula, et al.. (2016). CAST: A constant Adaptive Skipping Training Algorithm for Improving the Learning Rate of Multilayer Feedforward Neural Networks. Research Journal of Applied Sciences Engineering and Technology. 12(8). 790–812. 4 indexed citations
20.
Devi, R. Manjula, et al.. (2016). AN EFFICIENT FUZZY NEURAL NETWORK TRAINING MODEL FOR SUPERVISED PATTERN CLASSIFICATION SYSTEM. JOURNAL OF ADVANCES IN CHEMISTRY. 12(11). 4488–4499. 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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