Gunjan Gupta
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Information Systems top 10%
- Water Science and Technology
- Co-authors
- Mohamed YounisJoydeep GhoshAlexander L. StrehlPunam BediIlian T. IlievWeijia XuPaul Navrátil
- Topics
- Advanced Clustering Algorithms Research (4 papers)Bayesian Methods and Mixture Models (2 papers)Opportunistic and Delay-Tolerant Networks (2 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringWater Science and Technology
- Journals
- ACM Transactions on Knowledge Discovery from DataJournal of Emerging Technologies and Innovative Research
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Gunjan Gupta
9 papers receiving 589 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 529
- Electrical and Electronic Engineering 264
- Artificial Intelligence 81
- Information Systems 45
- Water Science and Technology 40
Countries citing papers authored by Gunjan Gupta
This map shows the geographic impact of Gunjan 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 Gunjan Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunjan Gupta more than expected).
Fields of papers citing papers by Gunjan Gupta
This network shows the impact of papers produced by Gunjan 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 Gunjan Gupta. The network helps show where Gunjan Gupta may publish in the future.
Co-authorship network of co-authors of Gunjan Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Gunjan Gupta. A scholar is included among the top collaborators of Gunjan 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 Gunjan Gupta. Gunjan 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 | 10 | |
| 3 | Microsoft Azure vs Amazon Cloud Services: A Brief Comparison | 0 |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 17 | |
| 8 | 34 | |
| 9 | 265 | |
| 10 | 269 | |
| 11 | 5 | |
| 12 | Distance based clustering of association rules | 35 |
About Gunjan Gupta
Gunjan Gupta is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 12 papers that have together received 650 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (4 papers), Bayesian Methods and Mixture Models (2 papers) and Opportunistic and Delay-Tolerant Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (529 citations), Electrical and Electronic Engineering (264 citations) and Water Science and Technology (40 citations). Gunjan Gupta has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Mohamed Younis, Joydeep Ghosh, Alexander L. Strehl, Punam Bedi, Ilian T. Iliev, Weijia Xu and Paul Navrátil. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data and Journal of Emerging Technologies and Innovative Research.
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.