Rob van Kranenburg

18 papers receiving 538 citations

Peers

Rob van Kranenburg
Comparison fields: 5 of 92
  • Computer Networks and Communications 287
  • Industrial and Manufacturing Engineering 97
  • Information Systems 166
  • Computer Vision and Pattern Recognition 113
  • Strategy and Management 67
Replace Dieter Uckelmann with:
Dieter Uckelmann Germany
Teresa Olivares Spain
Debasis Bandyopadhyay New Zealand
George Hatzivasilis Greece
Hoa Tran‐Dang South Korea
Mirko Presser Denmark
Jan Pennekamp Germany
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Andreas Rausch Germany
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Countries citing papers authored by Rob van Kranenburg

Since Specialization
Citations

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

Fields of papers citing papers by Rob van Kranenburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob van Kranenburg. 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 Rob van Kranenburg. The network helps show where Rob van Kranenburg may publish in the future.

Co-authors

The 25 scholars most cited alongside Rob van Kranenburg, 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 Rob van Kranenburg Line = papers co-authored together Rob van Kranenburg links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013161
2 2007111
3 2013106
4 201991
5 201257
6 202121
7
Discussion Paper on the Internet of Things commissioned by the Institute for Internet and Society, Berlin
20116
8 20176
9 20035
10 20145
11 20214
12
Cultural studies, education and the web: a review.
20023
13
The Internet of People for a Post-Oil World
20113
14 20233
15
The Internet of Things: Radical Transparency Within the Reach of All
20121
16
SocIoTal: Creating a Citizen-Centric Internet of Things
20141
17 20171
18 20141
19 20121

About Rob van Kranenburg

Rob van Kranenburg is a scholar working on Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computer Science Applications and Strategy and Management, having authored 19 papers that have together received 587 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Context-Aware Activity Recognition Systems (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), IoT and Edge/Fog Computing (3 papers), Privacy-Preserving Technologies in Data (2 papers), Innovative Human-Technology Interaction (2 papers), Quality and Supply Management (1 paper) and Food Supply Chain Traceability (1 paper). The work is most often cited by research in Computer Networks and Communications (287 citations), Industrial and Manufacturing Engineering (97 citations), Information Systems (166 citations), Computer Vision and Pattern Recognition (113 citations) and Strategy and Management (67 citations). Rob van Kranenburg has collaborated with scholars based in United Kingdom, Spain and Finland. Frequent co-authors include Alessandro Bassi, Thorsten Kramp, Martin Bauer, Sebastian Lange, Martin Fiedler, Stefan Meißner, Liisa Hakola, Srdjan Krčo, Nenad Gligorić and Suparna De. Their work appears in journals such as IEEE Pervasive Computing, International Journal of Cultural Studies, Sensors, Internet of Things and Lecture notes in computer science.

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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