Stephan Haller

18 papers receiving 765 citations

Hit Papers

Vision and Challenges for Realising the Internet of Things20102026201520202010200400600

Peers

Stephan Haller
Comparison fields: 5 of 82
  • Computer Networks and Communications 522
  • Information Systems 241
  • Computer Vision and Pattern Recognition 202
  • Electrical and Electronic Engineering 169
  • Artificial Intelligence 116
Replace V. Sundramoorthy with:
V. Sundramoorthy United Kingdom
Debasis Bandyopadhyay New Zealand
Karel Wouters Belgium
Srimal Jayawardena Australia
Håkan Grahn Sweden
Maurizio Tomasella United Kingdom
Kostas Kalaboukas Greece
Sergio Gusmeroli Italy
Andrei Palade Ireland
Domnic Savio Germany
Stephan Haller relative to V. Sundramoorthy United Kingdom V. Sundramoorthy's profile →
Citations per field
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V. Sundramoorthy · 1×
Citations per year

Countries citing papers authored by Stephan Haller

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Haller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Haller

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Haller. A scholar is included among the top collaborators of Stephan Haller 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 Stephan Haller. Stephan Haller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 4
3 6
4 1
5 2
6 31
7 1
8
The Real-time Enterprise: IoT-enabled Business Processes
20
9 1
10
Vision and Challenges for Realising the Internet of Thingsbreakdown →
600
11
The Things in the Internet of Things
57
12 5
13
Decentralized Enterprise Systems: A Multi-platform Wireless Sensor Networks Approach
5
14 13
15 47
16 18
17 16
18
white paper The Need for a Universal SmartSensor Network
3
19
Shelves that Call for Supplies
4

About Stephan Haller

Stephan Haller is a scholar working on Architecture, Media Technology and Computer Networks and Communications, having authored 19 papers that have together received 834 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Context-Aware Activity Recognition Systems (4 papers) and RFID technology advancements (3 papers). The work is most often cited by research in Computer Networks and Communications (522 citations), Information Systems (241 citations) and Computer Vision and Pattern Recognition (202 citations). Stephan Haller has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Maurizio Tomasella, Kostas Kalaboukas, Sergio Gusmeroli, Ovidiu Vermesan, Harald Vogt, Mark Harrison, Karel Wouters, Patrik Spieß, Carsten Magerkurth and Alexandru Serbanati. Their work appears in journals such as Computer, IEEE Wireless Communications and Journal of Enterprise Information Management.

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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