Parul Gupta
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Aerospace Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Leeladhar MalviyaShivkumar KalyanaramanSmruti R. SarangiHubertus FrankeQing WangZhenbo ZhuYonghua LinAbhinav Dhall
- Topics
- Digital Marketing and Social Media (3 papers)Natural Language Processing Techniques (3 papers)Sentiment Analysis and Opinion Mining (2 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsIBM Journal of Research and DevelopmentJournal of Aerosol Science
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Parul Gupta
23 papers receiving 257 citations
Peers
Comparison fields: 5 of 71
- Electrical and Electronic Engineering 130
- Computer Networks and Communications 92
- Aerospace Engineering 45
- Computer Vision and Pattern Recognition 37
- Artificial Intelligence 31
Countries citing papers authored by Parul Gupta
This map shows the geographic impact of Parul 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 Parul Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parul Gupta more than expected).
Fields of papers citing papers by Parul Gupta
This network shows the impact of papers produced by Parul 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 Parul Gupta. The network helps show where Parul Gupta may publish in the future.
Co-authorship network of co-authors of Parul Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Parul Gupta. A scholar is included among the top collaborators of Parul 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 Parul Gupta. Parul 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 45 | |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 16 | |
| 16 | 75 | |
| 17 | 20 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 3 |
About Parul Gupta
Parul Gupta is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 30 papers that have together received 279 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (3 papers), Natural Language Processing Techniques (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Computer Networks and Communications (92 citations), Electrical and Electronic Engineering (130 citations) and Signal Processing (20 citations). Parul Gupta has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Leeladhar Malviya, Shivkumar Kalyanaraman, Smruti R. Sarangi, Hubertus Franke, Qing Wang, Zhenbo Zhu, Yonghua Lin, Abhinav Dhall, Ramanathan Subramanian and Randhir Singh. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IBM Journal of Research and Development and Journal of Aerosol Science.
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.