Vibha Singhal Sinha
- Information Systems top 1%
- Artificial Intelligence top 2%
- Computer Science Applications top 2%
- Sociology and Political Science top 10%
- Software top 5%
- Co-authors
- Anbang XuRama AkkirajuZhe LiuYufan GuoSenthil ManiSatish ChandraBikram SenguptaSaurabh Sinha
- Topics
- Software Engineering Research (19 papers)Software Testing and Debugging Techniques (10 papers)Software Reliability and Analysis Research (8 papers)
- Journals
- Journal of Management Information SystemsACM SIGPLAN Notices2015 IEEE/ACM 37th IEEE International Conference on Software Engineering
- Partner nations
- IndiaUnited StatesIsrael
In The Last Decade
Vibha Singhal Sinha
34 papers receiving 970 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Information Systems 517
- Artificial Intelligence 494
- Computer Science Applications 184
- Sociology and Political Science 170
- Software 131
Countries citing papers authored by Vibha Singhal Sinha
This map shows the geographic impact of Vibha Singhal Sinha'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 Vibha Singhal Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vibha Singhal Sinha more than expected).
Fields of papers citing papers by Vibha Singhal Sinha
This network shows the impact of papers produced by Vibha Singhal Sinha. 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 Vibha Singhal Sinha. The network helps show where Vibha Singhal Sinha may publish in the future.
Co-authorship network of co-authors of Vibha Singhal Sinha
This figure shows the co-authorship network connecting the top 25 collaborators of Vibha Singhal Sinha. A scholar is included among the top collaborators of Vibha Singhal Sinha 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 Vibha Singhal Sinha. Vibha Singhal Sinha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 84 | |
| 2 | A New Chatbot for Customer Service on Social Mediabreakdown → | 340 |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 41 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 20 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 30 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 160 |
About Vibha Singhal Sinha
Vibha Singhal Sinha is a scholar working on Software, Computer Science Applications and Information Systems, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Software Engineering Research (19 papers), Software Testing and Debugging Techniques (10 papers) and Software Reliability and Analysis Research (8 papers). The work is most often cited by research in Software (131 citations), Computer Science Applications (184 citations) and Information Systems (517 citations). Vibha Singhal Sinha has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Anbang Xu, Rama Akkiraju, Zhe Liu, Yufan Guo, Senthil Mani, Satish Chandra, Bikram Sengupta, Saurabh Sinha, Rohan Padhye and Avinava Dubey. Their work appears in journals such as Journal of Management Information Systems, ACM SIGPLAN Notices and 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.
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.