Alankrita Aggarwal
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Mamta MittalGopi BattineniT J NandhiniP. K. SuriDeepak KumarJitendra KumarK. SinghKuldeep Singh Kaswan
- Topics
- Software Reliability and Analysis Research (7 papers)Software Engineering Research (7 papers)Brain Tumor Detection and Classification (4 papers)
- Journals
- International Journal of Information Management Data InsightsInternational Journal of Innovative Technology and Exploring EngineeringInternational Journal of Software Innovation
In The Last Decade
Alankrita Aggarwal
23 papers receiving 517 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 171
- Computer Vision and Pattern Recognition 167
- Computer Networks and Communications 56
- Information Systems 52
- Signal Processing 49
Countries citing papers authored by Alankrita Aggarwal
This map shows the geographic impact of Alankrita Aggarwal'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 Alankrita Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alankrita Aggarwal more than expected).
Fields of papers citing papers by Alankrita Aggarwal
This network shows the impact of papers produced by Alankrita Aggarwal. 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 Alankrita Aggarwal. The network helps show where Alankrita Aggarwal may publish in the future.
Co-authorship network of co-authors of Alankrita Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Alankrita Aggarwal. A scholar is included among the top collaborators of Alankrita Aggarwal 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 Alankrita Aggarwal. Alankrita Aggarwal 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 | 1 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | Generative adversarial network: An overview of theory and applicationsbreakdown → | 461 |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 4 |
About Alankrita Aggarwal
Alankrita Aggarwal is a scholar working on Software, Information Systems and Neurology, having authored 31 papers that have together received 547 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (7 papers), Software Engineering Research (7 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Health Informatics (9 citations) and Artificial Intelligence (171 citations). Alankrita Aggarwal has collaborated with scholars based in India, Italy and Iraq. Frequent co-authors include Mamta Mittal, Gopi Battineni, T J Nandhini, P. K. Suri, Deepak Kumar, Jitendra Kumar, K. Singh, Kuldeep Singh Kaswan, Sunil Gupta and Deepak Upadhyay. Their work appears in journals such as International Journal of Information Management Data Insights, International Journal of Innovative Technology and Exploring Engineering and International Journal of Software Innovation.
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.