Piyush Vyas

574 total citations
33 papers, 199 citations indexed

About

Piyush Vyas is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Piyush Vyas has authored 33 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Piyush Vyas's work include Spam and Phishing Detection (3 papers), Misinformation and Its Impacts (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Piyush Vyas is often cited by papers focused on Spam and Phishing Detection (3 papers), Misinformation and Its Impacts (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Piyush Vyas collaborates with scholars based in United States, India and Lebanon. Piyush Vyas's co-authors include Lavanya Elluri, Nirmalya Roy, Gaurav Dhiman, Bhaskar Prasad Rimal, Martin Reisslein, Omar El-Gayar, Donald S. Williamson, Jun Liu, Pawan Whig and Raphael Tang and has published in prestigious journals such as IEEE Access, Journal of the Association for Information Systems and Journal of Computer Information Systems.

In The Last Decade

Piyush Vyas

26 papers receiving 188 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piyush Vyas United States 8 66 41 39 27 22 33 199
Indu Singh India 9 56 0.8× 19 0.5× 23 0.6× 14 0.5× 28 1.3× 51 234
Sachin N. Deshmukh India 7 163 2.5× 35 0.9× 54 1.4× 16 0.6× 12 0.5× 34 261
K. Nirmala Devi India 6 135 2.0× 22 0.5× 57 1.5× 19 0.7× 29 1.3× 50 254
Md Musfique Anwar Bangladesh 8 86 1.3× 37 0.9× 50 1.3× 9 0.3× 21 1.0× 32 199
Santosh Kumar Ray India 9 179 2.7× 20 0.5× 61 1.6× 9 0.3× 16 0.7× 23 286
Keir Giles United Kingdom 6 29 0.4× 36 0.9× 34 0.9× 12 0.4× 32 1.5× 19 185
Azhar Rauf Pakistan 9 102 1.5× 61 1.5× 113 2.9× 35 1.3× 44 2.0× 29 251
Shaurya Gupta India 7 179 2.7× 32 0.8× 85 2.2× 13 0.5× 31 1.4× 14 288
Yannis Katsis United States 10 193 2.9× 18 0.4× 49 1.3× 16 0.6× 37 1.7× 31 299
Kashish Ara Shakil Saudi Arabia 7 69 1.0× 23 0.6× 78 2.0× 18 0.7× 38 1.7× 18 212

Countries citing papers authored by Piyush Vyas

Since Specialization
Citations

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

Fields of papers citing papers by Piyush Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piyush Vyas

This figure shows the co-authorship network connecting the top 25 collaborators of Piyush Vyas. A scholar is included among the top collaborators of Piyush Vyas 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 Piyush Vyas. Piyush Vyas 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
1.
Vyas, Piyush, et al.. (2024). Data augmentation and generative machine learning on the cloud platform. International Journal of Information Technology. 16(8). 4833–4843. 3 indexed citations
2.
Vyas, Piyush, et al.. (2023). RUemo—The Classification Framework for Russia-Ukraine War-Related Societal Emotions on Twitter through Machine Learning. Algorithms. 16(2). 69–69. 24 indexed citations
3.
Elluri, Lavanya, et al.. (2023). Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions. arXiv (Cornell University). 2 indexed citations
4.
Elluri, Lavanya, et al.. (2023). Recent Advancements in Machine Learning for Cybercrime Prediction. Journal of Computer Information Systems. 65(2). 249–263. 9 indexed citations
5.
Vyas, Piyush, et al.. (2022). An Empirical Comparison of Machine Learning Models for Student’s Mental Health Illness Assessment. arXiv (Cornell University). 10(1). 11 indexed citations
6.
Vyas, Piyush, et al.. (2021). An LSTM Based Approach for the Classification of Customer Reviews: An Exploratory Study. Journal of the Association for Information Systems. 3 indexed citations
7.
Vyas, Piyush, et al.. (2021). Prediction of Patient Willingness to Recommend Hospital: A Machine Learning-Based Exploratory Study.. Journal of the Association for Information Systems. 1 indexed citations
8.
Vyas, Piyush, et al.. (2021). Automated Classification of Societal Sentiments on Twitter With Machine Learning. 3(2). 100–110. 30 indexed citations
9.
Vyas, Piyush, Jun Liu, & Omar El-Gayar. (2021). Fake News Detection on the Web: An LSTM-based Approach.. Journal of the Association for Information Systems. 6 indexed citations
10.
11.
Bojja, Giridhar Reddy, et al.. (2021). Impact of Healthcare Information Technology (HIT) on Chronic Disease Conditions. Journal of the Association for Information Systems. 2 indexed citations
12.
13.
Vyas, Piyush & Omar El-Gayar. (2020). Credibility Analysis of News on Twitter using LSTM: An exploratory study. Journal of the Association for Information Systems. 3 indexed citations
14.
Vyas, Piyush & Jun Liu. (2020). Credibility Analysis of Customer Reviews on Amazon: A Design Science Approach. Journal of the Association for Information Systems. 1 indexed citations
15.
Vyas, Piyush, et al.. (2020). Antecedents of Student Retention: A Predictive Modelling Approach. International Journal of Contemporary Research and Review. 11(11). 6 indexed citations
16.
Vyas, Piyush, et al.. (2018). A Detailed Study of Channel Estimation and BER Optimization in presence of AWGN and Rayleigh Channel of OFDM System. International Journal of Advanced Engineering Research and Science. 5(4). 58–62. 1 indexed citations
17.
Vyas, Piyush, Manish Purohit, & Komal Arora. (2018). Mobile Communication: A Survey from 4G to 5G. 4(12).
18.
19.
Vyas, Piyush, et al.. (2013). Comparative Optimization of Efficient Association Rule Mining through PSO and GA. 2. 258–263. 2 indexed citations
20.
Vyas, Piyush, et al.. (2012). An Efficient Methodological Study for Optimization of Negative Association Rule Mining. 27–31.

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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