Sonali Vyas

905 citations
41 papers · 285 · h-index 10

Impact in

Papers in

Sonali Vyas

34 papers receiving 271 citations

Peers

Sonali Vyas
Comparison fields: 5 of 79
  • Health Informatics 12
  • Management Information Systems 53
  • Information Systems 115
  • Health Information Management 13
  • Industrial and Manufacturing Engineering 27
Replace Layth Sliman with:
Layth Sliman France
Mubashar Iqbal Estonia
Yeong-Tae Song United States
Sofia Anna Menesidou Greece
Julio Ariel Hurtado Alegría Colombia
Pavel Prikhodko India
Meryem Ammi Saudi Arabia
Meraj Farheen Ansari United States
Sharifah Md Yasin Malaysia
Nagy Ramadan Egypt
Sonali Vyas relative to Layth Sliman France Layth Sliman's profile →
Citations per field
00.5×1.5×1.8×
Layth Sliman · 1×
Citations per year

Countries citing papers authored by Sonali Vyas

Since Specialization
Citations

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

Fields of papers citing papers by Sonali Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sonali Vyas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sonali Vyas Line = papers co-authored together Sonali Vyas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202061
2 201948
3 202321
4 201918
5 201716
6 202114
7 202311
8 202211
9 201910
10 20209
11 20218
12 20177
13 20196
14 20225
15 20215
16 20224
17 20234
18
Analysis of Server Performance with Different Techniques of Virtual Databases
20144
19 20233
20 20193

About Sonali Vyas

Sonali Vyas is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Management Information Systems and Health Information Management, having authored 41 papers that have together received 285 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Blockchain Technology Applications and Security (5 papers), Digital Transformation in Industry (4 papers), Big Data and Business Intelligence (4 papers), Cloud Computing and Resource Management (3 papers), Artificial Intelligence in Healthcare (3 papers), Internet of Things and AI (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (12 citations), Management Information Systems (53 citations), Information Systems (115 citations), Health Information Management (13 citations) and Industrial and Manufacturing Engineering (27 citations). Sonali Vyas has collaborated with scholars based in India, United Arab Emirates and Thailand. Frequent co-authors include Vinod Kumar Shukla, Rakesh Kumar Yadav, Mahima Gupta, Ved Prakash Mishra, Shaurya Gupta, Deepshikha Bhargava, Mohammad Shabaz, Sameer Saxena, B. Suresh Kumar and Lei Ying. Their work appears in journals such as Sustainability, Materials Today Proceedings, International Journal of Systems Assurance Engineering and Management, Smart Health and SHILAP Revista de lepidopterología.

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