M. Iyapparaja

760 total citations
38 papers, 478 citations indexed

About

M. Iyapparaja is a scholar working on Computer Networks and Communications, Information Systems and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, M. Iyapparaja has authored 38 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 13 papers in Information Systems and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in M. Iyapparaja's work include IoT and Edge/Fog Computing (9 papers), Cloud Computing and Resource Management (4 papers) and Date Palm Research Studies (4 papers). M. Iyapparaja is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Cloud Computing and Resource Management (4 papers) and Date Palm Research Studies (4 papers). M. Iyapparaja collaborates with scholars based in India, Saudi Arabia and Japan. M. Iyapparaja's co-authors include Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Srinivas Koppu, Chiranji Lal Chowdhary, Swarna Priya Ramu, Thar Baker, Mamoun Alazab, Latif U. Khan, Gautam Srivastava and Ahamed Aljuhani and has published in prestigious journals such as PLoS ONE, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

M. Iyapparaja

37 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Iyapparaja India 13 102 96 84 70 61 38 478
Manal Abdullah Alohali Saudi Arabia 13 245 2.4× 126 1.3× 193 2.3× 64 0.9× 18 0.3× 54 545
R Elakkiya India 16 34 0.3× 50 0.5× 187 2.2× 233 3.3× 4 0.1× 68 795
T Anjali India 14 39 0.4× 55 0.6× 94 1.1× 131 1.9× 2 0.0× 117 554
Juan Ángel Pastor Franco Spain 14 79 0.8× 96 1.0× 111 1.3× 55 0.8× 40 497
Faisal Mehmood Pakistan 14 166 1.6× 113 1.2× 92 1.1× 97 1.4× 1 0.0× 56 533
Md. Mehedi Hasan Bangladesh 11 42 0.4× 58 0.6× 61 0.7× 59 0.8× 42 470
Naveed Riaz Pakistan 14 61 0.6× 89 0.9× 116 1.4× 226 3.2× 38 516
Madhushi Verma India 11 123 1.2× 41 0.4× 102 1.2× 101 1.4× 40 453
Jeonghong Kim South Korea 13 56 0.5× 47 0.5× 132 1.6× 113 1.6× 27 416
Thittaporn Ganokratanaa Thailand 13 89 0.9× 48 0.5× 152 1.8× 200 2.9× 62 558

Countries citing papers authored by M. Iyapparaja

Since Specialization
Citations

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

Fields of papers citing papers by M. Iyapparaja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Iyapparaja

This figure shows the co-authorship network connecting the top 25 collaborators of M. Iyapparaja. A scholar is included among the top collaborators of M. Iyapparaja 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 M. Iyapparaja. M. Iyapparaja 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.
Iyapparaja, M., et al.. (2024). GNViT- An enhanced image-based groundnut pest classification using Vision Transformer (ViT) model. PLoS ONE. 19(3). e0301174–e0301174. 6 indexed citations
2.
Iyapparaja, M., et al.. (2024). Detailed Study on Various Techniques for Detecting Railway Track Anomaly. 1–10. 1 indexed citations
3.
Iyapparaja, M., et al.. (2023). Review on Pest Detection and Classification in Agricultural Environments Using Image-Based Deep Learning Models and Its Challenges. Optical Memory and Neural Networks. 32(4). 295–309. 3 indexed citations
4.
Ali, Mohammed Hasan, et al.. (2023). Autonomous vehicles decision-making enhancement using self-determination theory and mixed-precision neural networks. Multimedia Tools and Applications. 84(29). 35263–35286. 21 indexed citations
5.
Iyapparaja, M., et al.. (2023). Pest Detection and Classification in Peanut Crops Using CNN, MFO, and EViTA Algorithms. IEEE Access. 11. 54045–54057. 17 indexed citations
6.
Alazab, Mamoun, Latif U. Khan, Srinivas Koppu, et al.. (2022). Digital Twins for Healthcare 4.0—Recent Advances, Architecture, and Open Challenges. IEEE Consumer Electronics Magazine. 12(6). 29–37. 84 indexed citations
7.
Gadekallu, Thippa Reddy, Gautam Srivastava, Madhusanka Liyanage, et al.. (2022). Hand gesture recognition based on a Harris Hawks optimized Convolution Neural Network. Computers & Electrical Engineering. 100. 107836–107836. 53 indexed citations
8.
Gopalakrishnan, Chandrasekhar & M. Iyapparaja. (2022). ITL-CNN: Integrated Transfer Learning-Based Convolution Neural Network for Ultrasound PCOS Image Classification. International Journal of Pattern Recognition and Artificial Intelligence. 36(16). 10 indexed citations
9.
Iyapparaja, M., et al.. (2021). Efficient Resource Allocation in Fog Computing Using QTCS Model. Computers, materials & continua/Computers, materials & continua (Print). 70(2). 2225–2239. 23 indexed citations
10.
Iyapparaja, M., S. Krishnan, Chiranji Lal Chowdhary, et al.. (2021). FogQSYM: An Industry 4.0 Analytical Model for Fog Applications. Computers, materials & continua/Computers, materials & continua (Print). 69(3). 3163–3178. 8 indexed citations
11.
Iyapparaja, M., et al.. (2019). A Detailed Research on Detection of Polycystic Ovary Syndrome from Ultrasound Images of Ovaries. International Journal of Recent Technology and Engineering (IJRTE). 8(2S11). 467–472. 6 indexed citations
12.
Iyapparaja, M., et al.. (2019). An Intelligent Weather Monitoring System using Internet of Things. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 4531–4536. 12 indexed citations
13.
Iyapparaja, M., et al.. (2019). SOCIAL INTERNET OF THINGS USING BIG DATA ANALYTICS AND SECURITY ASPECTS - A REVIEW. Electronic Government an International Journal. 16(1). 1–1. 1 indexed citations
14.
Iyapparaja, M. & P. Sivakumar. (2019). Detecting Diabetic Retinopathy exudates in digital image processing Hybrid Methodology. Research Journal of Pharmacy and Technology. 12(1). 57–57. 3 indexed citations
15.
Iyapparaja, M., et al.. (2019). Active contour with modified Otsu method for automatic detection of polycystic ovary syndrome from ultrasound image of ovary. Multimedia Tools and Applications. 79(23-24). 17169–17192. 22 indexed citations
16.
Iyapparaja, M., et al.. (2017). Security policy speculation of user uploaded images on content sharing sites. IOP Conference Series Materials Science and Engineering. 263. 42019–42019. 19 indexed citations
17.
Iyapparaja, M. & Parthipan Sivakumar. (2017). Metrics Based Evaluation for Disease Affection in Distinct Cities. Research Journal of Pharmacy and Technology. 10(8). 2487–2487. 7 indexed citations
18.
Iyapparaja, M., et al.. (2017). Augmenting SCA project management and automation framework. IOP Conference Series Materials Science and Engineering. 263. 42018–42018. 7 indexed citations
19.
Iyapparaja, M., et al.. (2015). Intelligent Risk Analysis Model for Mining Adaptable Reusable Component. The International Arab Journal of Information Technology. 12. 680–687. 1 indexed citations
20.
Iyapparaja, M., et al.. (2012). Coupling and Cohesion Metrics in Java for Adaptive Reusability Risk Reduction. 52–57. 8 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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