Prabhu Jayagopal

1.8k total citations
83 papers, 826 citations indexed

About

Prabhu Jayagopal is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Prabhu Jayagopal has authored 83 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 22 papers in Information Systems and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Prabhu Jayagopal's work include Smart Agriculture and AI (7 papers), Cryptography and Data Security (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Prabhu Jayagopal is often cited by papers focused on Smart Agriculture and AI (7 papers), Cryptography and Data Security (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Prabhu Jayagopal collaborates with scholars based in India, Bangladesh and United States. Prabhu Jayagopal's co-authors include Sandeep Kumar Mathivanan, Saravanan Srinivasan, M. Prasanna, V E Sathishkumar, Mahmoud Elsisi, Alagar Karthick, Hariharan Rajadurai, Malliga Subramanian, Shaikh Muhammad Allayear and J. Chinna Babu and has published in prestigious journals such as Scientific Reports, BMC Bioinformatics and Applied Sciences.

In The Last Decade

Prabhu Jayagopal

78 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabhu Jayagopal India 15 222 163 135 99 93 83 826
Roseline Oluwaseun Ogundokun Nigeria 16 315 1.4× 131 0.8× 163 1.2× 53 0.5× 143 1.5× 99 836
Madallah Alruwaili Saudi Arabia 19 326 1.5× 179 1.1× 204 1.5× 72 0.7× 105 1.1× 57 973
Saad Alanazi Saudi Arabia 20 376 1.7× 145 0.9× 165 1.2× 62 0.6× 132 1.4× 84 1.1k
Lalit Mohan Goyal India 19 320 1.4× 346 2.1× 134 1.0× 140 1.4× 149 1.6× 41 1.2k
Ibrahim Abunadi Saudi Arabia 18 363 1.6× 156 1.0× 213 1.6× 63 0.6× 157 1.7× 46 911
Boran Şekeroğlu Cyprus 16 309 1.4× 171 1.0× 262 1.9× 69 0.7× 72 0.8× 51 923
Shakir Khan Saudi Arabia 21 457 2.1× 255 1.6× 200 1.5× 210 2.1× 171 1.8× 81 1.3k
Muhammad Shahzad Sarfraz Pakistan 12 138 0.6× 143 0.9× 78 0.6× 37 0.4× 57 0.6× 46 798
Saleh Albahli Saudi Arabia 23 402 1.8× 270 1.7× 379 2.8× 34 0.3× 92 1.0× 74 1.3k
Mahendra Kumar Gourisaria India 15 269 1.2× 138 0.8× 84 0.6× 45 0.5× 120 1.3× 147 885

Countries citing papers authored by Prabhu Jayagopal

Since Specialization
Citations

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

Fields of papers citing papers by Prabhu Jayagopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhu Jayagopal

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhu Jayagopal. A scholar is included among the top collaborators of Prabhu Jayagopal 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 Prabhu Jayagopal. Prabhu Jayagopal 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.
Srinivasan, Saravanan, et al.. (2023). An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database. Scientific Reports. 13(1). 13588–13588. 34 indexed citations
2.
Mathivanan, Sandeep Kumar, et al.. (2023). Deep learning models for predicting the position of the head on an X-ray image for Cephalometric analysis. Intelligent Data Analysis. 27. 3–27. 2 indexed citations
3.
Basheer, Shakila, et al.. (2023). Wireless Sensor Networks Based on Multi-Criteria Clustering and Optimal Bio-Inspired Algorithm for Energy-Efficient Routing. Applied Sciences. 13(5). 2801–2801. 12 indexed citations
4.
Sathishkumar, V E, et al.. (2023). A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming. Mathematical Problems in Engineering. 2023(1). 4 indexed citations
5.
Pandey, Krishna Kant, et al.. (2023). Trajectory Planning and Collision Control of a Mobile Robot: A Penalty‐Based PSO Approach. Mathematical Problems in Engineering. 2023(1). 7 indexed citations
6.
Sangeetha, S, et al.. (2023). A Deep Learning Approach to Detect Microsleep Using Various Forms of EEG Signal. Mathematical Problems in Engineering. 2023(1). 3 indexed citations
7.
Srinivasan, Saravanan, et al.. (2023). Local-Ternary-Pattern-Based Associated Histogram Equalization Technique for Cervical Cancer Detection. Diagnostics. 13(3). 548–548. 10 indexed citations
8.
Srinivasan, Saravanan, Sandeep Kumar Mathivanan, Prabhu Jayagopal, et al.. (2023). A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA. Diagnostics. 13(8). 1385–1385. 5 indexed citations
9.
Srinivasan, Saravanan, et al.. (2023). Detection and classification of adult epilepsy using hybrid deep learning approach. Scientific Reports. 13(1). 17574–17574. 35 indexed citations
10.
Jayagopal, Prabhu, et al.. (2023). Classifying distinct emotions from parents of ASD child using EEG source data by combining Bernoulli–Laplace Prior and graph neural networks. Neural Computing and Applications. 37(12). 7877–7895. 1 indexed citations
11.
Srinivasan, Saravanan, et al.. (2023). Detection and classification of brain tumor using hybrid deep learning models. Scientific Reports. 13(1). 23029–23029. 53 indexed citations
12.
Kavitha, P., Prabhu Jayagopal, Sandeep Kumar Mathivanan, et al.. (2023). Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach. BMC Bioinformatics. 24(1). 458–458. 5 indexed citations
13.
Subramanian, Malliga, et al.. (2022). Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images. Computational Intelligence and Neuroscience. 2022. 1–15. 46 indexed citations
14.
Sathishkumar, V E, et al.. (2022). Investigation of Applying Machine Learning and Hyperparameter Tuned Deep Learning Approaches for Arrhythmia Detection in ECG Images. Computational and Mathematical Methods in Medicine. 2022. 1–12. 20 indexed citations
15.
Anand, R. Vijay, et al.. (2022). Prescreening and Triage of COVID-19 Patients Through Chest X-Ray Images Using Deep Learning Model. Big Data. 11(6). 408–419. 4 indexed citations
16.
Mathivanan, Sandeep Kumar, et al.. (2021). Emphasizing privacy and security of edge intelligence with machine learning for healthcare. International Journal of Intelligent Computing and Cybernetics. 15(1). 92–109. 26 indexed citations
17.
Jayagopal, Prabhu, et al.. (2020). Relationship between CRM Strategy and Hotels’ Performance with Reference to Madurai. International Journal of Recent Technology and Engineering (IJRTE). 8(4S4). 41–44. 1 indexed citations
18.
Jayagopal, Prabhu, et al.. (2020). A distributed collaborative trust service recommender system for secure cloud computing. Transactions on Emerging Telecommunications Technologies. 31(12). 2 indexed citations
19.
Mathivanan, Sandeep Kumar, et al.. (2020). Forecasting of the SARS-CoV-2 epidemic in India using SIR model, flatten curve and herd immunity. Journal of Ambient Intelligence and Humanized Computing. 1–9. 15 indexed citations
20.
Jayagopal, Prabhu, et al.. (2020). Accessing Covid19 epidemic outbreak in Tamilnadu and the impact of lockdown through epidemiological models and dynamic systems. Measurement. 169. 108432–108432. 15 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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