Divya Bansal
Impact in
- Transportation top 10%
- Human Mobility and Location-Based Analysis
- Information Systems top 5%
- Spam and Phishing Detection
Papers in
-
- Internet Traffic Analysis and Secure E-voting 8
- Privacy-Preserving Technologies in Data 7
-
- Spam and Phishing Detection 13
- Co-authors
- Sanjeev Sofat (27 shared papers)Naveen Aggarwal (4 shared papers)Nidhi Kalra (1 shared paper)Archan Misra (2 shared papers)Bhaskaran Raman (3 shared papers)K. K. Ramakrishnan (3 shared papers)Amanpreet Kaur (2 shared papers)Ajay Mittal (2 shared papers)
- Journals
- Multimedia Tools and Applications (3 papers)Pervasive and Mobile Computing (2 papers)ACM Transactions on Sensor Networks (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Social Network Analysis and Mining (1 paper)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Divya Bansal
53 papers receiving 552 citations
Peers
Comparison fields: 5 of 69
- Transportation 58
- Information Systems 167
- Signal Processing 75
- Computer Science Applications 35
- Building and Construction 83
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-authors
The 20 scholars most cited alongside Divya Bansal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 114 | |
| 2 | 2017 | 55 | |
| 3 | 2022 | 43 | |
| 4 | 2018 | 31 | |
| 5 | 2016 | 30 | |
| 6 | 2014 | 21 | |
| 7 | 2014 | 18 | |
| 8 | 2016 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2014 | 15 | |
| 11 | 2011 | 15 | |
| 12 | 2010 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2010 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2008 | 11 | |
| 18 | 2022 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2014 | 9 |
About Divya Bansal
Divya Bansal is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Signal Processing, having authored 56 papers that have together received 588 indexed citations. Recurring topics across this work include Spam and Phishing Detection (13 papers), Mobile Ad Hoc Networks (10 papers), Opportunistic and Delay-Tolerant Networks (9 papers), Misinformation and Its Impacts (9 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Privacy-Preserving Technologies in Data (7 papers), Network Security and Intrusion Detection (5 papers) and Privacy, Security, and Data Protection (5 papers). The work is most often cited by research in Transportation (58 citations), Information Systems (167 citations), Signal Processing (75 citations), Computer Science Applications (35 citations) and Building and Construction (83 citations). Divya Bansal has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Sanjeev Sofat, Naveen Aggarwal, Nidhi Kalra, Archan Misra, Bhaskaran Raman, K. K. Ramakrishnan, Amanpreet Kaur, Ajay Mittal, Nikhil S. Patil and Piyush Pathak. Their work appears in journals such as Multimedia Tools and Applications, Pervasive and Mobile Computing, ACM Transactions on Sensor Networks, Engineering Applications of Artificial Intelligence and Social Network Analysis and Mining.
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.