P. Jeyanthi

441 total citations
32 papers, 213 citations indexed

About

P. Jeyanthi is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, P. Jeyanthi has authored 32 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in P. Jeyanthi's work include IoT and Edge/Fog Computing (4 papers), Big Data and Business Intelligence (4 papers) and Video Analysis and Summarization (3 papers). P. Jeyanthi is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Big Data and Business Intelligence (4 papers) and Video Analysis and Summarization (3 papers). P. Jeyanthi collaborates with scholars based in India, Bangladesh and United States. P. Jeyanthi's co-authors include Santosh Shrivastava, Sarbjit Singh, S. Revathy, B. Bharathi, M. Karnan, Dieu Hack‐Polay, V. Maria Anu, Tanupriya Choudhury, R. Subhashini and Sheikh Abujar and has published in prestigious journals such as Multimedia Tools and Applications, Soft Computing and International Journal of Surgery.

In The Last Decade

P. Jeyanthi

26 papers receiving 191 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. Jeyanthi India 8 63 38 31 28 28 32 213
Marcos Machado Netherlands 5 80 1.3× 14 0.4× 64 2.1× 12 0.4× 10 0.4× 20 240
Pradeepta Kumar Sarangi India 11 91 1.4× 21 0.6× 9 0.3× 27 1.0× 8 0.3× 73 399
Mir Md. Jahangir Kabir Bangladesh 8 190 3.0× 18 0.5× 98 3.2× 71 2.5× 6 0.2× 37 301
Yoga Pristyanto Indonesia 9 154 2.4× 37 1.0× 17 0.5× 129 4.6× 11 0.4× 47 286
Muhammad Zubair Khan Pakistan 9 35 0.6× 6 0.2× 24 0.8× 19 0.7× 11 0.4× 17 241
Alamsyah Alamsyah Indonesia 11 142 2.3× 24 0.6× 20 0.6× 115 4.1× 9 0.3× 50 300
Pin Ni United Kingdom 9 252 4.0× 8 0.2× 9 0.3× 64 2.3× 5 0.2× 23 405
Abdulalem Ali Malaysia 8 141 2.2× 7 0.2× 41 1.3× 91 3.3× 5 0.2× 13 322
S. Al Wadi Jordan 9 37 0.6× 4 0.1× 10 0.3× 17 0.6× 13 0.5× 30 293
Karamath Ateeq United Arab Emirates 6 87 1.4× 15 0.4× 11 0.4× 44 1.6× 2 0.1× 24 275

Countries citing papers authored by P. Jeyanthi

Since Specialization
Citations

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

Fields of papers citing papers by P. Jeyanthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of P. Jeyanthi. A scholar is included among the top collaborators of P. Jeyanthi 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. Jeyanthi. P. Jeyanthi 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.
2.
Kandpal, Vinay, et al.. (2025). Digital Finance and Metaverse in Banking.
3.
Jeyanthi, P., et al.. (2024). Hierarchical convolution neural network models for classifying the segmented OCT and OCTA images using U-Net model. Multimedia Tools and Applications. 84(19). 20311–20337.
4.
5.
Krishnasamy, Lalitha, et al.. (2024). Secure IoT with Blockchain for Industrial Application. 1–6. 1 indexed citations
6.
7.
Jeyanthi, P., et al.. (2024). 5G ‐based video summarization: An analysis from a methodological point of view. Internet Technology Letters. 8(3).
8.
9.
Jeyanthi, P., et al.. (2024). Enhancing postoperative care with telemedicine and remote monitoring for improved recovery and patient safety. International Journal of Surgery. 110(12). 8205–8206. 1 indexed citations
10.
Revathy, S., et al.. (2022). Digitization of Data from Invoice using OCR. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). 1–10. 7 indexed citations
11.
Jeyanthi, P., et al.. (2022). Child Mortality Prediction using Machine Learning. 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI). 1253–1256. 2 indexed citations
12.
Jeyanthi, P., et al.. (2021). Secured Model for Internet of Things (IoT) to Monitor Smart Field Data with Integrated Real-Time Cloud Using Lightweight Cryptography. IETE Journal of Research. 69(8). 5134–5147. 7 indexed citations
13.
Jeyanthi, P., Naïf Abdullah Al-Dhabi, Mariadhas Valan Arasu, et al.. (2020). Fer1L5, a Dysferlin Homologue Present in Vesicles and Involved in C2C12 Myoblast Fusion and Membrane Repair. Biology. 9(11). 386–386. 3 indexed citations
14.
Shrivastava, Santosh, P. Jeyanthi, & Sarbjit Singh. (2020). Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting. Cogent Economics & Finance. 8(1). 1729569–1729569. 58 indexed citations
15.
Revathy, S., et al.. (2019). Chronic Kidney Disease Prediction using Machine Learning Models. International Journal of Engineering and Advanced Technology. 9(1). 6364–6367. 42 indexed citations
16.
Jeyanthi, P., et al.. (2019). A Review on Internet of Things Protocol and Service Oriented Middleware. 28. 104–108. 9 indexed citations
17.
Jeyanthi, P., et al.. (2015). Exemplary Content Based Image Retrieval using visual contents & genetic approach. 4. 1378–1384. 4 indexed citations
18.
Jeyanthi, P., et al.. (2014). Content based image retrieval using color and texture feature extraction in Android. 3. 1–7. 1 indexed citations
19.
Jeyanthi, P. & M. Karnan. (2014). Business Intelligence–Hybrid Metaheuristics Techniques. RePEc: Research Papers in Economics. 5(1). 64–70. 3 indexed citations
20.
Jeyanthi, P. & M. Karnan. (2013). Business Intelligence: Optimization techniques for Decision Making. 2(8). 6 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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