P. Dayananda

566 total citations
54 papers, 286 citations indexed

About

P. Dayananda is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, P. Dayananda has authored 54 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in P. Dayananda's work include AI in cancer detection (6 papers), IoT and Edge/Fog Computing (4 papers) and Brain Tumor Detection and Classification (4 papers). P. Dayananda is often cited by papers focused on AI in cancer detection (6 papers), IoT and Edge/Fog Computing (4 papers) and Brain Tumor Detection and Classification (4 papers). P. Dayananda collaborates with scholars based in India, United States and Saudi Arabia. P. Dayananda's co-authors include M. Niranjanamurthy, Mahesh S. Raisinghani, S. Jagannatha, Abhishek Thakur, S Supreeth, Sujay Raghavendra Naganna, Surbhi Bhatia, Mohamed Abouhawwash, J Shreyas and N. N. Srinidhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

P. Dayananda

44 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Dayananda India 11 73 59 50 33 30 54 286
Ahmad Sami Al‐Shamayleh Jordan 10 68 0.9× 64 1.1× 65 1.3× 83 2.5× 38 1.3× 53 341
Ahmed Alghamdi Saudi Arabia 12 95 1.3× 79 1.3× 42 0.8× 21 0.6× 68 2.3× 31 335
Madhu Bala Myneni India 9 116 1.6× 53 0.9× 24 0.5× 34 1.0× 26 0.9× 26 295
Narendra Patel India 12 62 0.8× 107 1.8× 165 3.3× 24 0.7× 48 1.6× 55 460
Pranjal Kumar India 6 126 1.7× 77 1.3× 42 0.8× 13 0.4× 30 1.0× 12 343
Abhinav Juneja India 10 61 0.8× 35 0.6× 29 0.6× 10 0.3× 35 1.2× 23 225
Mahmoud Othman Egypt 11 136 1.9× 49 0.8× 44 0.9× 9 0.3× 56 1.9× 26 297
Atif Alvi Pakistan 10 83 1.1× 35 0.6× 49 1.0× 12 0.4× 34 1.1× 37 377
V. Radha India 9 127 1.7× 98 1.7× 59 1.2× 14 0.4× 79 2.6× 57 371
Bekhzod Olimov South Korea 11 110 1.5× 106 1.8× 18 0.4× 57 1.7× 7 0.2× 14 302

Countries citing papers authored by P. Dayananda

Since Specialization
Citations

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

Fields of papers citing papers by P. Dayananda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Dayananda

This figure shows the co-authorship network connecting the top 25 collaborators of P. Dayananda. A scholar is included among the top collaborators of P. Dayananda 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 P. Dayananda. P. Dayananda 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.
Supreeth, S, et al.. (2025). A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN. Scientific Reports. 15(1). 38–38. 4 indexed citations
2.
3.
Kamath, Sandeep, et al.. (2025). Performance Evaluation of Advanced Classification Models Combined with Feature Selection for Credit Risk Performance. Procedia Computer Science. 258. 278–287. 1 indexed citations
4.
Supreeth, S, et al.. (2024). A Machine Learning Approach for Environmental Assessment on Air Quality and Mitigation Strategy. Journal of Engineering. 2024(1). 6 indexed citations
5.
Dayananda, P., et al.. (2024). Development of Smart Pill Expert System Based on IoT. Journal of The Institution of Engineers (India) Series B. 105(3). 457–467. 4 indexed citations
6.
Dayananda, P., et al.. (2024). Multilevel Multimodal Framework for Automatic Collateral Scoring in Brain Stroke. IEEE Access. 12. 33730–33748. 2 indexed citations
7.
8.
Dayananda, P., et al.. (2024). Hybrid RNN Based Text Classification Model for Unstructured Data. SN Computer Science. 5(6). 2 indexed citations
9.
Dayananda, P., et al.. (2024). A Visual Computing Unified Application Using Deep Learning and Computer Vision Techniques. International Journal of Interactive Mobile Technologies (iJIM). 18(1). 59–74. 3 indexed citations
10.
Dayananda, P., et al.. (2024). Enhancing Lung Acoustic Signals Classification With Eigenvectors-Based and Traditional Augmentation Methods. IEEE Access. 12. 87691–87700. 2 indexed citations
11.
12.
Dayananda, P., et al.. (2023). An Automated Office and Vehicle Management System. 13. 1–6.
13.
Naganna, Sujay Raghavendra, et al.. (2023). Machine Learning Models for the Prediction of the Compressive Strength of Self-Compacting Concrete Incorporating Incinerated Bio-Medical Waste Ash. Sustainability. 15(18). 13621–13621. 10 indexed citations
14.
Dayananda, P., et al.. (2023). Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm. Diagnostics. 13(16). 2687–2687. 13 indexed citations
15.
Dayananda, P., et al.. (2023). Differential Gene Expression Analysis of Non-Small Cell Lung Cancer Samples to Classify Candidate Genes. Engineering Technology & Applied Science Research. 13(2). 10571–10577. 3 indexed citations
16.
Srinivasan, G., et al.. (2023). A Hybrid Multiple Indefinite Kernel Learning Framework for Disease Classification from Gene Expression Data. International Journal of Advanced Computer Science and Applications. 14(6). 2 indexed citations
17.
Dayananda, P., et al.. (2022). Detection of WBC Cancer Using Image Processing. Journal of The Institution of Engineers (India) Series B. 104(1). 141–152. 8 indexed citations
18.
Dayananda, P., et al.. (2020). Weighted full binary tree-sliced binary pattern: An RGB-D image descriptor. Heliyon. 6(5). e03751–e03751. 11 indexed citations
19.
Dayananda, P., et al.. (2020). A Survey on Machine Learning and Deep Learning-based Computer-Aided Methods for Detection of Polyps in CT Colonography. Current Medical Imaging Formerly Current Medical Imaging Reviews. 17(1). 3–15. 8 indexed citations
20.
Dayananda, P., et al.. (2020). 3D visualization cloud based model to detect and classify the polyps according to their sizes for CT colonography. Journal of King Saud University - Computer and Information Sciences. 34(8). 4943–4955. 3 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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