Abha Moitra
- Artificial Intelligence top 10%
- Software top 5%
- Computational Theory and Mathematics top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Dean M RobinsonS. S. IyengarRichard JohnsonDebasish DuttaLalit PatilTao JiaDaniel W. RussellS. Sitharama Iyengar
- Topics
- Semantic Web and Ontologies (10 papers)Safety Systems Engineering in Autonomy (9 papers)Software Reliability and Analysis Research (8 papers)
- Journals
- IEEE Transactions on Software EngineeringIEEE Transactions on ComputersIEEE Transactions on Aerospace and Electronic Systems
- Partner nations
- United StatesIndiaRussia
In The Last Decade
Abha Moitra
46 papers receiving 291 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 134
- Software 85
- Computational Theory and Mathematics 70
- Information Systems 65
- Computer Networks and Communications 62
Countries citing papers authored by Abha Moitra
This map shows the geographic impact of Abha Moitra'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 Abha Moitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abha Moitra more than expected).
Fields of papers citing papers by Abha Moitra
This network shows the impact of papers produced by Abha Moitra. 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 Abha Moitra. The network helps show where Abha Moitra may publish in the future.
Co-authorship network of co-authors of Abha Moitra
This figure shows the co-authorship network connecting the top 25 collaborators of Abha Moitra. A scholar is included among the top collaborators of Abha Moitra 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 Abha Moitra. Abha Moitra 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 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 17 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | Analysis of Hard Real-Time Systems | 1 |
| 19 | 1 | |
| 20 | 3 |
About Abha Moitra
Abha Moitra is a scholar working on Software, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 51 papers that have together received 317 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Safety Systems Engineering in Autonomy (9 papers) and Software Reliability and Analysis Research (8 papers). The work is most often cited by research in Software (85 citations), Safety, Risk, Reliability and Quality (54 citations) and Industrial and Manufacturing Engineering (57 citations). Abha Moitra has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Dean M Robinson, S. S. Iyengar, Richard Johnson, Debasish Dutta, Lalit Patil, Tao Jia, Daniel W. Russell, S. Sitharama Iyengar, Panagiotis Manolios and Daniel Prince. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Computers and IEEE Transactions on Aerospace and Electronic Systems.
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.