Vivek Veeraiah

490 total citations
30 papers, 148 citations indexed

About

Vivek Veeraiah is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Vivek Veeraiah has authored 30 papers receiving a total of 148 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 Vivek Veeraiah's work include Internet of Things and AI (8 papers), IoT and Edge/Fog Computing (8 papers) and Blockchain Technology Applications and Security (5 papers). Vivek Veeraiah is often cited by papers focused on Internet of Things and AI (8 papers), IoT and Edge/Fog Computing (8 papers) and Blockchain Technology Applications and Security (5 papers). Vivek Veeraiah collaborates with scholars based in India, Saudi Arabia and United States. Vivek Veeraiah's co-authors include Ankur Gupta, Shahanawaj Ahamad, Rohit Bansal, Rohit Anand, Dharmesh Dhabliya, Radha Raman Chandan, Omdev Dahiya, Nidhi Sindhwani, Rohit Anand and Harinder Singh and has published in prestigious journals such as 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).

In The Last Decade

Vivek Veeraiah

25 papers receiving 142 citations

Peers

Vivek Veeraiah
Vivek Veeraiah
Citations per year, relative to Vivek Veeraiah Vivek Veeraiah (= 1×) peers Dileep Kumar Singh

Countries citing papers authored by Vivek Veeraiah

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Veeraiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Veeraiah

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Veeraiah. A scholar is included among the top collaborators of Vivek Veeraiah 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 Vivek Veeraiah. Vivek Veeraiah 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
3.
Veeraiah, Vivek, et al.. (2024). Deep Reinforcement Learning for Autonomous Management of Big Data Infrastructures. 1–6. 1 indexed citations
4.
Veeraiah, Vivek, et al.. (2024). Investigating Scope of Real-time Data Processing for IoT in 5G Revolution. 1–6. 2 indexed citations
5.
Veeraiah, Vivek, et al.. (2024). Explainable AI in NLP: Interpretable Models for Transparent Decision Making. 1–6. 3 indexed citations
6.
Veeraiah, Vivek, et al.. (2024). IoT based Blockchain System for Security from Identity Theft in Industrial Automation. 1–4. 1 indexed citations
7.
8.
Veeraiah, Vivek, et al.. (2023). Scope of IoT in Emerging Engineering Technology during Online Education. 1–6. 1 indexed citations
9.
Veeraiah, Vivek, et al.. (2023). An Innovative Approach: Typicality-Based Collaborative Filtering for Recommender Systems. 863–868. 2 indexed citations
10.
Veeraiah, Vivek, et al.. (2023). IoT Framework in a Blockchain dependent Cloud Environment. 459. 1–6. 1 indexed citations
11.
Veeraiah, Vivek, et al.. (2023). IoT-Dependent Intelligent Irrigation System with ML-Dependent Soil Moisture Prediction. 1296–1300. 6 indexed citations
13.
Veeraiah, Vivek, et al.. (2022). Monitoring and Controlling Data Through the Internet of Things (IOT) System: A Framework to Measure the Public Health. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 20. 226–229. 1 indexed citations
14.
Veeraiah, Vivek, et al.. (2022). Medical Internet of Things using Deep Learning Techniques for Skin Cancer Detection. 18. 317–321. 2 indexed citations
15.
Veeraiah, Vivek, et al.. (2022). Application of Biometric System to Enhance the Security in Virtual World. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 719–723. 20 indexed citations
16.
Veeraiah, Vivek, et al.. (2022). Investigating Scope of Energy Efficient Routing in Adhoc Network. 681–686. 1 indexed citations
17.
Veeraiah, Vivek, et al.. (2022). Investigating the Role of Block Chain to Secure Identity in IoT for Industrial Automation. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 2021. 245–249. 1 indexed citations
18.
Veeraiah, Vivek, et al.. (2022). Enhancement of Meta Verse Capabilities by IoT Integration. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 1493–1498. 41 indexed citations
19.
Veeraiah, Vivek, et al.. (2022). Efficient COVID-19 Identification Using Deep Learning for IoT. 128–133. 4 indexed citations
20.
Pal, Joyojeet, et al.. (2012). Local-language digital information in India. 199. 318–325. 7 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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