Arun Kumar Sivaraman

790 total citations
35 papers, 417 citations indexed

About

Arun Kumar Sivaraman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arun Kumar Sivaraman has authored 35 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arun Kumar Sivaraman's work include IoT and Edge/Fog Computing (4 papers), Smart Agriculture and AI (3 papers) and AI in cancer detection (3 papers). Arun Kumar Sivaraman is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Smart Agriculture and AI (3 papers) and AI in cancer detection (3 papers). Arun Kumar Sivaraman collaborates with scholars based in India, Saudi Arabia and South Korea. Arun Kumar Sivaraman's co-authors include Abdul Quadir, Kong Fah Tee, A. Balasundaram, Sita Rani, Aman Kataria, R. Dhanalakshmi, Alex Khang, Raman Kumar, Sovan Samanta and Pankaj Bhambri and has published in prestigious journals such as Sustainability, Applied Soft Computing and Biomedicines.

In The Last Decade

Arun Kumar Sivaraman

34 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arun Kumar Sivaraman India 12 102 101 96 80 54 35 417
Abdul Quadir India 13 136 1.3× 111 1.1× 73 0.8× 116 1.4× 111 2.1× 58 570
Debahuti Mishra India 15 236 2.3× 132 1.3× 98 1.0× 31 0.4× 66 1.2× 71 693
Mirza Mohd Shahriar Maswood Bangladesh 8 96 0.9× 106 1.0× 126 1.3× 179 2.2× 146 2.7× 27 434
Kannan Krithivasan India 13 169 1.7× 51 0.5× 84 0.9× 148 1.9× 73 1.4× 39 448
Raja Marappan India 13 209 2.0× 59 0.6× 40 0.4× 36 0.5× 151 2.8× 55 589
Shikha Mehta India 13 233 2.3× 32 0.3× 36 0.4× 148 1.9× 148 2.7× 54 538
S. Shahab Vietnam 6 104 1.0× 351 3.5× 189 2.0× 73 0.9× 71 1.3× 6 652
Diego García‐Gil Spain 10 225 2.2× 27 0.3× 29 0.3× 65 0.8× 98 1.8× 18 427
Nailah Al–Madi Jordan 11 312 3.1× 23 0.2× 69 0.7× 62 0.8× 41 0.8× 26 548
Haofan Yang China 12 120 1.2× 45 0.4× 167 1.7× 72 0.9× 15 0.3× 25 599

Countries citing papers authored by Arun Kumar Sivaraman

Since Specialization
Citations

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

Fields of papers citing papers by Arun Kumar Sivaraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun Kumar Sivaraman. 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 Arun Kumar Sivaraman. The network helps show where Arun Kumar Sivaraman may publish in the future.

Co-authorship network of co-authors of Arun Kumar Sivaraman

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Kumar Sivaraman. A scholar is included among the top collaborators of Arun Kumar Sivaraman 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 Arun Kumar Sivaraman. Arun Kumar Sivaraman 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
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Gayathri, R., et al.. (2024). An efficient approach for automatic crack detection using deep learning. International Journal of Structural Integrity. 15(3). 434–460. 3 indexed citations
3.
Gupta, H. S., et al.. (2024). Stacked Regressor for Crop Yield Prediction. 1–6. 1 indexed citations
4.
Quadir, Abdul, et al.. (2023). Machine-Learning-Based Diabetes Mellitus Risk Prediction Using Multi-Layer Neural Network No-Prop Algorithm. Diagnostics. 13(4). 723–723. 19 indexed citations
5.
Quadir, Abdul, Santhanakrishnan Narayanan, H. Sabireen, Arun Kumar Sivaraman, & Kong Fah Tee. (2023). A novel approach to detect fraud in Ethereum transactions using stacking. Expert Systems. 40(7). 13 indexed citations
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Quadir, Abdul, et al.. (2022). Novel optimization approach for stock price forecasting using multi-layered sequential LSTM. Applied Soft Computing. 134. 109830–109830. 103 indexed citations
9.
Khang, Alex, Sita Rani, & Arun Kumar Sivaraman. (2022). AI-Centric Smart City Ecosystems. 8 indexed citations
10.
Quadir, Abdul, et al.. (2022). A Review on Data-Driven Quality Prediction in the Production Process with Machine Learning for Industry 4.0. Processes. 10(10). 1966–1966. 29 indexed citations
11.
Qiang, Xiaoli, et al.. (2022). A Study on Interval‐Valued Fuzzy Graph with Application in Energy Industry Management. Discrete Dynamics in Nature and Society. 2022(1). 2 indexed citations
12.
Sivaraman, Arun Kumar, et al.. (2022). Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map. Computers, materials & continua/Computers, materials & continua (Print). 74(3). 6703–6717. 4 indexed citations
13.
Balasundaram, A., et al.. (2022). Breast Mammogram Analysis and Classification Using Deep Convolution Neural Network. Computer Systems Science and Engineering. 43(1). 275–289. 5 indexed citations
14.
Janakiraman, N., Junaid Rashid, Jungeun Kim, et al.. (2022). Effective Classification of Synovial Sarcoma Cancer Using Structure Features and Support Vectors. Computers, materials & continua/Computers, materials & continua (Print). 72(2). 2521–2543. 5 indexed citations
15.
Bhadoria, Robin Singh, Arun Kumar Sivaraman, Sovan Samanta, et al.. (2022). Prognostic Kalman Filter Based Bayesian Learning Model for Data Accuracy Prediction. Computers, materials & continua/Computers, materials & continua (Print). 72(1). 243–259. 17 indexed citations
16.
Dhanalakshmi, R., et al.. (2022). A New Method for Centrality Measurement Using Generalized Fuzzy Graphs. Discrete Dynamics in Nature and Society. 2022(1). 3 indexed citations
17.
Quadir, Abdul, et al.. (2021). Time Optimization of Unmanned Aerial Vehicles Using an Augmented Path. Future Internet. 13(12). 308–308. 9 indexed citations
18.
Sivaraman, Arun Kumar, et al.. (2021). Power Analysis of Household Appliances using IoT. 1–5. 11 indexed citations
19.
Balasundaram, A., et al.. (2021). Abnormality Identification in Video Surveillance System using DCT. Intelligent Automation & Soft Computing. 32(2). 693–704. 17 indexed citations
20.
Sivaraman, Arun Kumar, et al.. (2021). Synovial Sarcoma Classification Technique Using Support Vector Machine and Structure Features. Intelligent Automation & Soft Computing. 32(2). 1241–1259. 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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