Vinay Kumar Nassa

81 total papers · 2.3k total citations
31 papers, 298 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 298 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 Imbalanced Data Classification Techniques (3 papers), IoT and Edge/Fog Computing (3 papers) and Big Data and Business Intelligence (3 papers). Vinay Kumar Nassa is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), IoT and Edge/Fog Computing (3 papers) and Big Data and Business Intelligence (3 papers). Vinay Kumar Nassa collaborates with scholars based in India, United States and Saudi Arabia. Vinay Kumar Nassa's co-authors include Binay Kumar Pandey, Ankur Gupta, Rohit Bansal, Digvijay Pandey, B. T. Geetha, Gurram Sunitha, S. Neelakandan, Ram Singh, Bharani Murugesan and Alagar Karthick 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 279 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vinay Kumar Nassa 82 57 39 38 37 31 298
Qian Ma 51 0.6× 40 0.7× 43 1.1× 62 1.6× 11 0.3× 23 319
Pelin Yıldırım Taşer 168 2.0× 34 0.6× 55 1.4× 32 0.8× 20 0.5× 27 348
Tao Gong 66 0.8× 28 0.5× 13 0.3× 32 0.8× 42 1.1× 45 259
Deshinta Arrova Dewi 56 0.7× 64 1.1× 29 0.7× 33 0.9× 13 0.4× 56 242
Mengxiang Chen 152 1.9× 42 0.7× 13 0.3× 21 0.6× 32 0.9× 17 336
S. Praveena 116 1.4× 109 1.9× 20 0.5× 77 2.0× 20 0.5× 40 347
Hongrui Liu 73 0.9× 107 1.9× 30 0.8× 37 1.0× 12 0.3× 37 358
Ahmad MohdAziz Hussein 150 1.8× 80 1.4× 25 0.6× 51 1.3× 41 1.1× 17 354
Yinhao Li 75 0.9× 39 0.7× 52 1.3× 49 1.3× 14 0.4× 40 299
Huichuan Duan 73 0.9× 32 0.6× 26 0.7× 78 2.1× 38 1.0× 46 344

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

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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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