Vinay Kumar Nassa

2.3k total citations
31 papers, 306 citations indexed

About

Vinay Kumar Nassa is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vinay Kumar Nassa has authored 31 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vinay Kumar Nassa's work include IoT and Edge/Fog Computing (3 papers), Imbalanced Data Classification Techniques (3 papers) and Big Data and Business Intelligence (3 papers). Vinay Kumar Nassa is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), Imbalanced Data Classification Techniques (3 papers) and Big Data and Business Intelligence (3 papers). Vinay Kumar Nassa collaborates with scholars based in India, United States and Malaysia. Vinay Kumar Nassa's co-authors include Ankur Gupta, Binay Kumar Pandey, Rohit Bansal, Digvijay Pandey, Gurram Sunitha, Ram Singh, B. T. Geetha, S. Neelakandan, Bharani Murugesan and Chandrabhanu Malla and has published in prestigious journals such as Sustainable Energy Technologies and Assessments, Wireless Personal Communications and Materials Today Proceedings.

In The Last Decade

Vinay Kumar Nassa

26 papers receiving 287 citations

Peers

Vinay Kumar Nassa
Dinesh Mavaluru Saudi Arabia
Qian Ma China
Hassan Muwafaq Gheni Iraq
Deshinta Arrova Dewi Malaysia
Ting Shu China
Junhao Zhou China
Yuyan Wang United States
S. Gopalakrishnan India
C. Karthikeyan India
Dinesh Mavaluru Saudi Arabia
Vinay Kumar Nassa
Citations per year, relative to Vinay Kumar Nassa Vinay Kumar Nassa (= 1×) peers Dinesh Mavaluru

Countries citing papers authored by Vinay Kumar Nassa

Since Specialization
Citations

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

Fields of papers citing papers by Vinay Kumar Nassa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinay Kumar Nassa

This figure shows the co-authorship network connecting the top 25 collaborators of Vinay Kumar Nassa. A scholar is included among the top collaborators of Vinay Kumar Nassa 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 Vinay Kumar Nassa. Vinay Kumar Nassa 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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Dhanasekar, S., et al.. (2023). Low-power test pattern generator using modified LFSR. Aerospace Systems. 7(1). 67–74. 11 indexed citations
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Nassa, Vinay Kumar, et al.. (2023). Integrating machine learning and mathematical programming for efficient optimization of electric discharge machining technique. THE SCIENTIFIC TEMPER. 14(3). 859–863. 1 indexed citations
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Nassa, Vinay Kumar, et al.. (2023). Python-based social science applications’ profiling and optimization on HPC systems using task and data parallelism. THE SCIENTIFIC TEMPER. 14(3). 870–876. 1 indexed citations
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Anand, R., Bilal Khan, Vinay Kumar Nassa, et al.. (2022). Hybrid convolutional neural network (CNN) for Kennedy Space Center hyperspectral image. Aerospace Systems. 6(1). 71–78. 14 indexed citations
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Banu, J. Faritha, et al.. (2022). Artificial intelligence with attention based BiLSTM for energy storage system in hybrid renewable energy sources. Sustainable Energy Technologies and Assessments. 52. 102334–102334. 18 indexed citations
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Mardani, Abbas, et al.. (2022). A Novel Faster RCNN with ODN-Based Rain Removal Technique. Mathematical Problems in Engineering. 2022. 1–11. 3 indexed citations
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Lydia, E. Laxmi, Vinay Kumar Nassa, Bhanu Shrestha, et al.. (2021). Generative Adversarial Networks with Quantum Optimization Model for Mobile Edge Computing in IoT Big Data. Wireless Personal Communications. 127(2). 1565–1585. 5 indexed citations
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Nassa, Vinay Kumar, Alagar Karthick, Chandrabhanu Malla, et al.. (2021). Energy and Economic Analysis of Curved, Straight, and Spiral Flow Flat-Plate Solar Water Collector. International Journal of Photoenergy. 2021. 1–11. 37 indexed citations
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Boddu, Raja Sarath Kumar, et al.. (2021). Analyzing the impact of machine learning and artificial intelligence and its effect on management of lung cancer detection in covid-19 pandemic. Materials Today Proceedings. 56. 2213–2216. 17 indexed citations
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Singamaneni, Kranthi Kumar, et al.. (2021). Big Data Analytics with OENN Based Clinical Decision Support System. Intelligent Automation & Soft Computing. 31(2). 1241–1256. 2 indexed citations
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Arora, Saurabh, et al.. (2021). Prediction of credit card defaults through data analysis and machine learning techniques. Materials Today Proceedings. 51. 110–117. 15 indexed citations
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Pandey, Binay Kumar, et al.. (2021). Encryption and steganography-based text extraction in IoT using the EWCTS optimizer. The Imaging Science Journal. 69(1-4). 38–56. 22 indexed citations
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Bansal, Rohit, Ankur Gupta, Ram Singh, & Vinay Kumar Nassa. (2021). Role and Impact of Digital Technologies in E-Learning amidst COVID-19 Pandemic. 194–202. 32 indexed citations
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Nassa, Vinay Kumar, et al.. (2021). Deep Learning-Based Skin Lesion Diagnosis Model Using Dermoscopic Images. Intelligent Automation & Soft Computing. 31(1). 621–634. 55 indexed citations
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Nassa, Vinay Kumar, et al.. (2021). Discernment and Diminution of Black Hole Attack in Mobile Ad-Hoc Network using Artificial Intelligence. Journal of Physics Conference Series. 2040(1). 12037–12037. 1 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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