Nivethitha Somu

2.0k total citations · 2 hit papers
30 papers, 1.4k citations indexed

About

Nivethitha Somu is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Nivethitha Somu has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 11 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Nivethitha Somu's work include Building Energy and Comfort Optimization (5 papers), Cloud Computing and Resource Management (5 papers) and Caching and Content Delivery (4 papers). Nivethitha Somu is often cited by papers focused on Building Energy and Comfort Optimization (5 papers), Cloud Computing and Resource Management (5 papers) and Caching and Content Delivery (4 papers). Nivethitha Somu collaborates with scholars based in India, Singapore and Slovakia. Nivethitha Somu's co-authors include M. R. Gauthama Raman, Krithi Ramamritham, V. S. Shankar Sriram, Kannan Kirthivasan, Ramiro Liscano, Kannan Krithivasan, Anupama Kowli, Aditya P. Mathur, Umesh Bellur and Purushottam Kulkarni and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Energy.

In The Last Decade

Nivethitha Somu

26 papers receiving 1.3k citations

Hit Papers

A deep learning framework for building energy consumption... 2020 2026 2022 2024 2020 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nivethitha Somu India 16 463 441 416 394 218 30 1.4k
M. R. Gauthama Raman India 15 511 1.1× 454 1.0× 445 1.1× 302 0.8× 140 0.6× 24 1.3k
Aurora González-Vidal Spain 18 429 0.9× 389 0.9× 434 1.0× 255 0.6× 131 0.6× 54 1.2k
Gabe Fierro United States 16 245 0.5× 229 0.5× 265 0.6× 478 1.2× 131 0.6× 52 1.1k
Hany F. ElYamany Egypt 7 422 0.9× 291 0.7× 155 0.4× 203 0.5× 122 0.6× 15 1.1k
Ruoxi Jia United States 20 677 1.5× 316 0.7× 120 0.3× 277 0.7× 126 0.6× 48 1.3k
Salah Bouktif United Arab Emirates 15 330 0.7× 485 1.1× 151 0.4× 163 0.4× 449 2.1× 50 1.4k
Jiaming Li Australia 18 494 1.1× 415 0.9× 183 0.4× 158 0.4× 107 0.5× 44 1.3k
Juan Gómez‐Romero Spain 20 504 1.1× 238 0.5× 82 0.2× 263 0.7× 184 0.8× 62 1.1k
Qi Han United States 21 347 0.7× 801 1.8× 900 2.2× 157 0.4× 110 0.5× 129 2.1k
Edoardo Patti Italy 27 395 0.9× 1.3k 2.8× 472 1.1× 483 1.2× 210 1.0× 143 2.4k

Countries citing papers authored by Nivethitha Somu

Since Specialization
Citations

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

Fields of papers citing papers by Nivethitha Somu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nivethitha Somu

This figure shows the co-authorship network connecting the top 25 collaborators of Nivethitha Somu. A scholar is included among the top collaborators of Nivethitha Somu 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 Nivethitha Somu. Nivethitha Somu 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
2.
Nguyen, Hai-Tra, Abdulrahman H. Ba-Alawi, Nivethitha Somu, Roberto Chang, & ChangKyoo Yoo. (2025). Smart multi-stage energy-emission nexus framework for sustainable supply-demand management and CO2 mitigation. Renewable and Sustainable Energy Reviews. 214. 115551–115551. 3 indexed citations
3.
Somu, Nivethitha, et al.. (2025). An edge-cloud IIoT framework for predictive maintenance in manufacturing systems. Advanced Engineering Informatics. 65. 103388–103388. 2 indexed citations
4.
Somu, Nivethitha, et al.. (2024). Multi-sensor data fusion framework for energy optimization in smart homes. Renewable and Sustainable Energy Reviews. 193. 114235–114235. 8 indexed citations
5.
Somu, Nivethitha, et al.. (2023). Occupancy estimation with environmental sensors: The possibilities and limitations. Energy and Built Environment. 6(1). 96–108. 4 indexed citations
6.
Somu, Nivethitha & Anupama Kowli. (2023). Evaluation of building energy demand forecast models using multi-attribute decision making approach. Energy and Built Environment. 5(3). 480–491. 15 indexed citations
7.
Somu, Nivethitha, et al.. (2021). A hybrid deep transfer learning strategy for thermal comfort prediction in buildings. Building and Environment. 204. 108133–108133. 87 indexed citations
8.
Somu, Nivethitha, et al.. (2020). PanOpticon: A Comprehensive Benchmarking Tool for Serverless Applications. 144–151. 17 indexed citations
9.
Somu, Nivethitha, et al.. (2020). A multilayer perceptron model for anomaly detection in water treatment plants. International Journal of Critical Infrastructure Protection. 31. 100393–100393. 47 indexed citations
10.
Raman, M. R. Gauthama, Nivethitha Somu, Kannan Krithivasan, & V. S. Shankar Sriram. (2019). A hybrid approach using rough set theory and hypergraph for feature selection on high-dimensional medical datasets. Soft Computing. 23(23). 12655–12672. 13 indexed citations
11.
Raman, M. R. Gauthama, et al.. (2019). An efficient intrusion detection technique based on support vector machine and improved binary gravitational search algorithm. Artificial Intelligence Review. 53(5). 3255–3286. 70 indexed citations
12.
Somu, Nivethitha, et al.. (2019). An improved rough set approach for optimal trust measure parameter selection in cloud environments. Soft Computing. 23(22). 11979–11999. 12 indexed citations
13.
Somu, Nivethitha, et al.. (2018). Design and Development of Self-Governing Robotic Cart for Universal Applications. International Journal of Engineering and Applied Sciences (IJEAS). 5(1). 257299.
14.
Somu, Nivethitha, et al.. (2018). An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection. Neural Networks. 108. 339–354. 27 indexed citations
15.
Somu, Nivethitha, et al.. (2018). Mining Road Accident Data Based on Diverted Attention of Drivers. 245–249. 4 indexed citations
16.
Raman, M. R. Gauthama, Nivethitha Somu, Kannan Kirthivasan, & V. S. Shankar Sriram. (2017). A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems. Neural Networks. 92. 89–97. 73 indexed citations
17.
Raman, M. R. Gauthama, Nivethitha Somu, Kannan Kirthivasan, Ramiro Liscano, & V. S. Shankar Sriram. (2017). An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine. Knowledge-Based Systems. 134. 1–12. 180 indexed citations
18.
Somu, Nivethitha, Kannan Kirthivasan, & V. S. Shankar Sriram. (2016). A computational model for ranking cloud service providers using hypergraph based techniques. Future Generation Computer Systems. 68. 14–30. 39 indexed citations
19.
Somu, Nivethitha, M. R. Gauthama Raman, Kannan Kirthivasan, & V. S. Shankar Sriram. (2016). Hypergraph Based Feature Selection Technique for Medical Diagnosis. Journal of Medical Systems. 40(11). 239–239. 27 indexed citations
20.
Somu, Nivethitha. (2014). Authentication Service in Hadoop using One Time Pad. Indian Journal of Science and Technology. 7(is4). 56–62. 18 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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