Divya Bansal
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Sociology and Political Science top 10%
- Civil and Structural Engineering top 10%
- Co-authors
- Sanjeev SofatNaveen AggarwalArchan MisraNidhi KalraK. K. RamakrishnanBhaskaran RamanAmanpreet KaurNikhil S. Patil
- Topics
- Spam and Phishing Detection (13 papers)Mobile Ad Hoc Networks (10 papers)Misinformation and Its Impacts (9 papers)
- Journals
- Environmental Monitoring and AssessmentEngineering Applications of Artificial IntelligenceMultimedia Tools and Applications
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Divya Bansal
52 papers receiving 538 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 175
- Information Systems 165
- Computer Networks and Communications 134
- Sociology and Political Science 124
- Civil and Structural Engineering 86
Countries citing papers authored by Divya Bansal
This map shows the geographic impact of Divya Bansal'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 Divya Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Bansal more than expected).
Fields of papers citing papers by Divya Bansal
This network shows the impact of papers produced by Divya Bansal. 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 Divya Bansal. The network helps show where Divya Bansal may publish in the future.
Co-authorship network of co-authors of Divya Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Divya Bansal. A scholar is included among the top collaborators of Divya Bansal 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 Divya Bansal. Divya Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 42 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 4 | |
| 15 | 15 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | 1 |
About Divya Bansal
Divya Bansal is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications, having authored 55 papers that have together received 576 indexed citations. Recurring topics across this work include Spam and Phishing Detection (13 papers), Mobile Ad Hoc Networks (10 papers) and Misinformation and Its Impacts (9 papers). The work is most often cited by research in Transportation (57 citations), Information Systems (165 citations) and Computer Science Applications (36 citations). Divya Bansal has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Sanjeev Sofat, Naveen Aggarwal, Archan Misra, Nidhi Kalra, K. K. Ramakrishnan, Bhaskaran Raman, Amanpreet Kaur, Nikhil S. Patil, Anirudh Vemula and Bhaskaran Raman. Their work appears in journals such as Environmental Monitoring and Assessment, Engineering Applications of Artificial Intelligence and Multimedia Tools and Applications.
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.