Jeff Burke
- Computer Networks and Communications top 1%
- Transportation top 0.5%
- Computer Science Applications top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Deborah EstrinMark HansenSasank ReddyMani SrivastavaMin MunLixia ZhangKatie ShiltonAlexander Afanasyev
- Topics
- Caching and Content Delivery (32 papers)Opportunistic and Delay-Tolerant Networks (17 papers)Advanced Data Storage Technologies (15 papers)
- Journals
- Journal of Child Psychology and PsychiatryIEEE Transactions on ComputersACM SIGCOMM Computer Communication Review
- Partner nations
- United StatesAustriaSouth Korea
In The Last Decade
Jeff Burke
64 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Networks and Communications 1.1k
- Transportation 824
- Computer Science Applications 586
- Computer Vision and Pattern Recognition 564
- Electrical and Electronic Engineering 538
Countries citing papers authored by Jeff Burke
This map shows the geographic impact of Jeff Burke'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 Jeff Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Burke more than expected).
Fields of papers citing papers by Jeff Burke
This network shows the impact of papers produced by Jeff Burke. 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 Jeff Burke. The network helps show where Jeff Burke may publish in the future.
Co-authorship network of co-authors of Jeff Burke
This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Burke. A scholar is included among the top collaborators of Jeff Burke 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 Jeff Burke. Jeff Burke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | Design Considerations for Applying ICN to IoT | 10 |
| 4 | 4 | |
| 5 | 100 | |
| 6 | 40 | |
| 7 | 76 | |
| 8 | 26 | |
| 9 | 98 | |
| 10 | Egal Car: A Peer-to-Peer Car Racing Game Synchronized Over Named Data Networking | 4 |
| 11 | 36 | |
| 12 | Personal Data Vault: A Privacy Architecture for Mobile Personal Sensing | 0 |
| 13 | 85 | |
| 14 | 1 | |
| 15 | 184 | |
| 16 | 55 | |
| 17 | 12 | |
| 18 | Wireless Urban Sensing Systems | 17 |
| 19 | 4 | |
| 20 | 2 |
About Jeff Burke
Jeff Burke is a scholar working on Computer Networks and Communications, Computer Science Applications and Transportation, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Caching and Content Delivery (32 papers), Opportunistic and Delay-Tolerant Networks (17 papers) and Advanced Data Storage Technologies (15 papers). The work is most often cited by research in Transportation (824 citations), Computer Science Applications (586 citations) and Computer Networks and Communications (1.1k citations). Jeff Burke has collaborated with scholars based in United States, Austria and South Korea. Frequent co-authors include Deborah Estrin, Mark Hansen, Sasank Reddy, Mani Srivastava, Min Mun, Lixia Zhang, Katie Shilton, Alexander Afanasyev, Eric Howard and Ruth West. Their work appears in journals such as Journal of Child Psychology and Psychiatry, IEEE Transactions on Computers and ACM SIGCOMM Computer Communication Review.
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.