Piyush Vyas

26 papers receiving 188 citations

Peers

Piyush Vyas
Comparison fields: 5 of 80
  • Artificial Intelligence 66
  • Sociology and Political Science 41
  • Information Systems 39
  • Signal Processing 27
  • Computer Networks and Communications 22
Replace Shraddha Phansalkar with:
Shraddha Phansalkar India
Fazle Rabbi Norway
Dimitrios Kotzias United States
Yannis Katsis United States
Santosh Kumar Ray India
Amit Bhagat India
Erbuğ Çelebi Cyprus
Sachin N. Deshmukh India
Anas Alsobeh Jordan
Marïa José Ramírez-Quintana Spain
Piyush Vyas relative to Shraddha Phansalkar India Shraddha Phansalkar's profile →
Citations per field
00.5×
Shraddha Phansalkar · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 3
3 3
4 24
5 0
6 7
7 46
8 9
9 11
10 0
11
Impact of Healthcare Information Technology (HIT) on Chronic Disease Conditions
2
12 30
13
An LSTM Based Approach for the Classification of Customer Reviews: An Exploratory Study
3
14
Prediction of Patient Willingness to Recommend Hospital: A Machine Learning-Based Exploratory Study.
1
15
Fake News Detection on the Web: An LSTM-based Approach.
6
16
Credibility Analysis of News on Twitter using LSTM: An exploratory study
3
17 6
18
Mobile Communication: A Survey from 4G to 5G
0
19 1
20
An Efficient Methodological Study for Optimization of Negative Association Rule Mining
0

About Piyush Vyas

Piyush Vyas is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 33 papers that have together received 199 indexed citations. Recurring topics across this work include Spam and Phishing Detection (3 papers), Misinformation and Its Impacts (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Health Informatics (6 citations), Signal Processing (27 citations) and Artificial Intelligence (66 citations). Piyush Vyas has collaborated with scholars based in United States, India and Jordan. Frequent co-authors include Lavanya Elluri, Nirmalya Roy, Gaurav Dhiman, Bhaskar Prasad Rimal, Martin Reisslein, Donald S. Williamson, Omar El-Gayar, Jun Liu, Pawan Whig and Manish Purohit. Their work appears in journals such as IEEE Access, Journal of the Association for Information Systems and Journal of Computer Information Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026