Atul Gupta
- Information Systems top 2%
- Accounting top 2%
- Artificial Intelligence top 5%
- Software top 2%
- Strategy and Management top 5%
- Co-authors
- Shivani GuptaSaurabh TiwariSusan M. AdamsJohn D. LeethKartik RamanP. R. KumarChenguang ShangSantosh Singh Rathore
- Topics
- Software Engineering Research (34 papers)Corporate Finance and Governance (23 papers)Software Reliability and Analysis Research (20 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Atul Gupta
91 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 142
- Information Systems 444
- Accounting 440
- Artificial Intelligence 411
- Software 226
- Strategy and Management 184
Countries citing papers authored by Atul Gupta
This map shows the geographic impact of Atul Gupta'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 Atul Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Gupta more than expected).
Fields of papers citing papers by Atul Gupta
This network shows the impact of papers produced by Atul Gupta. 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 Atul Gupta. The network helps show where Atul Gupta may publish in the future.
Co-authorship network of co-authors of Atul Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Atul Gupta. A scholar is included among the top collaborators of Atul Gupta 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 Atul Gupta. Atul Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | Model-Switching: Dealing with Fluctuating Workloads in Machine-Learning-as-a-Service Systems | 9 |
| 5 | 37 | |
| 6 | 195 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | Semantic Similarity Measure Using Information Content Approach With Depth For Similarity Calculation | 3 |
| 10 | 25 | |
| 11 | Downsizing of a naturally aspirated engine to turbocharged gasoline direct injection variable valve timing engine | 2 |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 17 | |
| 15 | 16 | |
| 16 | 10 | |
| 17 | The Value of Experiential Learning by Organizations: Evidence from International Joint Ventures | 1 |
| 18 | 24 | |
| 19 | 32 | |
| 20 | 14 |
About Atul Gupta
Atul Gupta is a scholar working on Software, Accounting and Information Systems, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software Engineering Research (34 papers), Corporate Finance and Governance (23 papers) and Software Reliability and Analysis Research (20 papers). The work is most often cited by research in Software (226 citations), Accounting (440 citations) and Information Systems (444 citations). Atul Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Shivani Gupta, Saurabh Tiwari, Susan M. Adams, John D. Leeth, Kartik Raman, P. R. Kumar, Chenguang Shang, Santosh Singh Rathore, Pankaj Jalote and Dominique Haughton. Their work appears in journals such as Journal of Business Ethics, Expert Systems with Applications and IEEE Access.
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.