Abhay Bansal
- Information Systems top 5%
- Artificial Intelligence top 5%
- Computer Science Applications top 2%
- Computer Networks and Communications top 10%
- Health Information Management top 2%
- Co-authors
- A. Sai SabithaAbhishek SinghalDeepti MehrotraNitasha HasteerAnupriya TuliPramod KumarDivakar YadavB. K. Murthy
- Topics
- Software Engineering Research (16 papers)Software Testing and Debugging Techniques (14 papers)Software Reliability and Analysis Research (13 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsImage and Vision ComputingComputer Vision and Image Understanding
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Abhay Bansal
94 papers receiving 640 citations
Peers
Comparison fields: 5 of 101
- Information Systems 246
- Artificial Intelligence 220
- Computer Science Applications 168
- Computer Networks and Communications 130
- Health Information Management 106
Countries citing papers authored by Abhay Bansal
This map shows the geographic impact of Abhay 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 Abhay Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhay Bansal more than expected).
Fields of papers citing papers by Abhay Bansal
This network shows the impact of papers produced by Abhay 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 Abhay Bansal. The network helps show where Abhay Bansal may publish in the future.
Co-authorship network of co-authors of Abhay Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Abhay Bansal. A scholar is included among the top collaborators of Abhay 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 Abhay Bansal. Abhay 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 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | Knowledge Enriched Learning by Converging Knowledge Object & Learning Object | 7 |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 8. ACCELERATED LEARNING SOLUTIONS (ALS) - A MODEL FOR LEARNING ON THE JOB & PRODUCTIVITY ENHANCEMENT OF FRESH ENGINEERING GRADUATES THROUGH TITP (TELECOM INDUSTRY TRAINING AND PLACEMENT) | 0 |
About Abhay Bansal
Abhay Bansal is a scholar working on Software, Computer Science Applications and Information Systems, having authored 109 papers that have together received 716 indexed citations. Recurring topics across this work include Software Engineering Research (16 papers), Software Testing and Debugging Techniques (14 papers) and Software Reliability and Analysis Research (13 papers). The work is most often cited by research in Computer Science Applications (168 citations), Health Information Management (106 citations) and Software (86 citations). Abhay Bansal has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include A. Sai Sabitha, Abhishek Singhal, Deepti Mehrotra, Nitasha Hasteer, Anupriya Tuli, Pramod Kumar, Divakar Yadav, B. K. Murthy, Avadhesh Kumar and Prabhat K. Singh. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Image and Vision Computing and Computer Vision and Image Understanding.
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.