Urs Hunkeler
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Hong‐Linh TruongAndy Stanford-ClarkClemens LombriserCatherine DehollainW. SchottRahim TafazolliThorsten KrampMirko Presser
- Topics
- Energy Efficient Wireless Sensor Networks (6 papers)Context-Aware Activity Recognition Systems (3 papers)Opportunistic and Delay-Tolerant Networks (3 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
- Journals
- Computer NetworksInfoscience (Ecole Polytechnique Fédérale de Lausanne)ERCIM news/ERCIM news online edition
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Urs Hunkeler
9 papers receiving 568 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 431
- Electrical and Electronic Engineering 168
- Computer Vision and Pattern Recognition 148
- Information Systems 99
- Artificial Intelligence 82
Countries citing papers authored by Urs Hunkeler
This map shows the geographic impact of Urs Hunkeler'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 Urs Hunkeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Hunkeler more than expected).
Fields of papers citing papers by Urs Hunkeler
This network shows the impact of papers produced by Urs Hunkeler. 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 Urs Hunkeler. The network helps show where Urs Hunkeler may publish in the future.
Co-authorship network of co-authors of Urs Hunkeler
This figure shows the co-authorship network connecting the top 25 collaborators of Urs Hunkeler. A scholar is included among the top collaborators of Urs Hunkeler 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 Urs Hunkeler. Urs Hunkeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | A Wireless Sensor Network that is Manageable and Really Scales. | 1 |
| 3 | 1 | |
| 4 | 11 | |
| 5 | A Novel Design And Implementation Of A Wireless Sensor Network Aimed At Monitoring The Vibrations Produced By Oil & Gas Activities | 3 |
| 6 | 13 | |
| 7 | 10 | |
| 8 | MQTT-S — A publish/subscribe protocol for Wireless Sensor Networksbreakdown → | 541 |
| 9 | 2 | |
| 10 | 8 |
About Urs Hunkeler
Urs Hunkeler is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Water Science and Technology, having authored 10 papers that have together received 602 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (6 papers), Context-Aware Activity Recognition Systems (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (431 citations), Computer Vision and Pattern Recognition (148 citations) and Information Systems (99 citations). Urs Hunkeler has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Hong‐Linh Truong, Andy Stanford-Clark, Clemens Lombriser, Catherine Dehollain, W. Schott, Rahim Tafazolli, Thorsten Kramp, Mirko Presser, P. Chevillat and Andrea Munari. Their work appears in journals such as Computer Networks, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and ERCIM news/ERCIM news online edition.
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.