Vaibhav Bajpai
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jürgen SchönwälderJörg OttChristian FacchiGeorg Schmittkc claffyAlex C. SnoerenDavid D. ClarkRicky K. P. Mok
- Topics
- Network Traffic and Congestion Control (15 papers)Caching and Content Delivery (14 papers)Internet Traffic Analysis and Secure E-voting (13 papers)
- Journals
- IEEE Communications Surveys & TutorialsIEEE Communications MagazineIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- GermanyFinlandUnited Kingdom
In The Last Decade
Vaibhav Bajpai
57 papers receiving 777 citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 542
- Electrical and Electronic Engineering 284
- Artificial Intelligence 208
- Information Systems 121
- Computer Vision and Pattern Recognition 120
Countries citing papers authored by Vaibhav Bajpai
This map shows the geographic impact of Vaibhav Bajpai'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 Vaibhav Bajpai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaibhav Bajpai more than expected).
Fields of papers citing papers by Vaibhav Bajpai
This network shows the impact of papers produced by Vaibhav Bajpai. 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 Vaibhav Bajpai. The network helps show where Vaibhav Bajpai may publish in the future.
Co-authorship network of co-authors of Vaibhav Bajpai
This figure shows the co-authorship network connecting the top 25 collaborators of Vaibhav Bajpai. A scholar is included among the top collaborators of Vaibhav Bajpai 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 Vaibhav Bajpai. Vaibhav Bajpai 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 | 1 | |
| 3 | 32 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 17 | |
| 8 | 22 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | Measuring Decentralized Video Streaming: A Case Study of DTube | 4 |
| 12 | 6 | |
| 13 | 16 | |
| 14 | 15 | |
| 15 | 21 | |
| 16 | 70 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 73 | |
| 20 | NFQL: A tool for querying network flow records | 1 |
About Vaibhav Bajpai
Vaibhav Bajpai is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 60 papers that have together received 821 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (15 papers), Caching and Content Delivery (14 papers) and Internet Traffic Analysis and Secure E-voting (13 papers). The work is most often cited by research in Computer Networks and Communications (542 citations), Hardware and Architecture (50 citations) and Artificial Intelligence (208 citations). Vaibhav Bajpai has collaborated with scholars based in Germany, Finland and United Kingdom. Frequent co-authors include Jürgen Schönwälder, Jörg Ott, Christian Facchi, Georg Schmitt, kc claffy, Alex C. Snoeren, David D. Clark, Ricky K. P. Mok, Amogh Dhamdhere and Rajeeb Dey. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine and IEEE Transactions on Intelligent Transportation 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.