Theo Kanter
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Rahim RahmaniStefan ForsströmXiang SuJukka RiekkiYuhong LiPatrik ÖsterbergBin XiaoHenrik Gustafsson
- Topics
- Context-Aware Activity Recognition Systems (33 papers)IoT and Edge/Fog Computing (22 papers)Opportunistic and Delay-Tolerant Networks (16 papers)
In The Last Decade
Theo Kanter
62 papers receiving 358 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 352
- Computer Vision and Pattern Recognition 155
- Electrical and Electronic Engineering 98
- Information Systems 81
- Artificial Intelligence 44
Countries citing papers authored by Theo Kanter
This map shows the geographic impact of Theo Kanter'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 Theo Kanter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theo Kanter more than expected).
Fields of papers citing papers by Theo Kanter
This network shows the impact of papers produced by Theo Kanter. 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 Theo Kanter. The network helps show where Theo Kanter may publish in the future.
Co-authorship network of co-authors of Theo Kanter
This figure shows the co-authorship network connecting the top 25 collaborators of Theo Kanter. A scholar is included among the top collaborators of Theo Kanter 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 Theo Kanter. Theo Kanter 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 | 6 | |
| 4 | Gap-based Caching for ICN-based Vehicular Networks | 2 |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | Network traffic efficiency analysis for logical clustering of flow-sensors | 2 |
| 10 | Conceptual Framework for Internet of Things' Virtualization via OpenFlow in Context-aware Networks | 2 |
| 11 | 4 | |
| 12 | MediaSense - an Internet of Things Platform for Scalable and Decentralized Context Sharing and Control | 19 |
| 13 | 2 | |
| 14 | Scenarios, Research Issues, and Architecture for Ubiquitous Sensing | 2 |
| 15 | 10 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | Enabling Open and Secure Mobile Multimedia Communication | 2 |
| 19 | 8 | |
| 20 | 5 |
About Theo Kanter
Theo Kanter is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 70 papers that have together received 423 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (33 papers), IoT and Edge/Fog Computing (22 papers) and Opportunistic and Delay-Tolerant Networks (16 papers). The work is most often cited by research in Computer Networks and Communications (352 citations), Computer Vision and Pattern Recognition (155 citations) and Information Systems (81 citations). Theo Kanter has collaborated with scholars based in Sweden, China and Finland. Frequent co-authors include Rahim Rahmani, Stefan Forsström, Xiang Su, Jukka Riekki, Yuhong Li, Patrik Österberg, Bin Xiao, Henrik Gustafsson, Gerald Q. Maguire and Ulf Jennehag. Their work appears in journals such as IEEE Wireless Communications, IEEE Internet Computing and Personal and Ubiquitous Computing.
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.