Julien Eberle

848 citations
17 papers · 597 · h-index 9

Impact in

Papers in

Julien Eberle

17 papers receiving 566 citations

Peers

Julien Eberle
Comparison fields: 5 of 75
  • Transportation 223
  • Computer Science Applications 98
  • Computer Networks and Communications 193
  • Signal Processing 80
  • Computer Vision and Pattern Recognition 139
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Katrina LaCurts United States
Dragan Stojanović Serbia
Wilhelm Kleiminger Switzerland
Pouria Amirian Ireland
Min Mun United States
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Marco Zappatore Italy
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Citations per field
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Citations per year

Countries citing papers authored by Julien Eberle

Since Specialization
Citations

This map shows the geographic impact of Julien Eberle'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 Julien Eberle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Eberle more than expected).

Fields of papers citing papers by Julien Eberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julien Eberle. 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 Julien Eberle. The network helps show where Julien Eberle may publish in the future.

Co-authors

The 19 scholars most cited alongside Julien Eberle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julien Eberle Line = papers co-authored together Julien Eberle links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
The Mobile Data Challenge: Big Data for Mobile Computing Research
2012292
2 201382
3 201368
4
XGSN: An Open-source Semantic Sensing Middleware for the Web of Things
201445
5 201527
6 201315
7 201214
8 201213
9 20169
10
Semantic Data Layers in Air Quality Monitoring for Smarter Cities
20157
11 20117
12 20155
13 20135
14 20163
15 20133
16 20131
17 20151

About Julien Eberle

Julien Eberle is a scholar working on Transportation, Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing and Environmental Engineering, having authored 17 papers that have together received 597 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (8 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Air Quality Monitoring and Forecasting (5 papers), Indoor and Outdoor Localization Technologies (4 papers), Time Series Analysis and Forecasting (4 papers), Green IT and Sustainability (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Transportation (223 citations), Computer Science Applications (98 citations), Computer Networks and Communications (193 citations), Signal Processing (80 citations) and Computer Vision and Pattern Recognition (139 citations). Julien Eberle has collaborated with scholars based in Switzerland, United States and Japan. Frequent co-authors include Karl Aberer, Olivier Dousse, Jan Blom, Daniel Gática-Pérez, Olivier Bornet, Markus Miettinen, J. Laurila, Imad Aad, Trinh-Minh-Tri Do and Zhixian Yan. Their work appears in journals such as Pervasive and Mobile Computing, Informatik-Spektrum, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and TUbilio (Technical University of Darmstadt).

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.

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