Jan Höller

1.0k citations
8 papers · 392 · 1 hit paper · h-index 6

Impact in

Papers in

Jan Höller

8 papers receiving 351 citations

Jan Höller's Hit Papers

From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence 2014 · 289 citations
2890+4+8Years since publication50100150200250

Peers

Jan Höller
Comparison fields: 5 of 75
  • Computer Networks and Communications 202
  • Information Systems 127
  • Industrial and Manufacturing Engineering 46
  • Management Information Systems 32
  • Medical Laboratory Technology 4
Replace Stefan Avesand with:
Stefan Avesand Sweden
Hussein Zangoti Saudi Arabia
Irena Bojanova United States
Erwin Adi Australia
Daniel Pakkala Finland
Oleksiy Mazhelis Finland
Omar Santos United Kingdom
Zaigham Mahmood United Kingdom
Dimitrios Papamartzivanos Greece
Francisco Maciá Pérez Spain
Jan Höller relative to Stefan Avesand Sweden Stefan Avesand's profile →
Citations per field
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Stefan Avesand · 1×
Citations per year

Countries citing papers authored by Jan Höller

Since Specialization
Citations

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

Fields of papers citing papers by Jan Höller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Jan Höller, 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 Jan Höller Line = papers co-authored together Jan Höller links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence
Hit paper breakdown →
2014289
2 201851
3 201420
4 201717
5 20067
6 20195
7 20052
8 20051

About Jan Höller

Jan Höller is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Management Information Systems and Hardware and Architecture, having authored 8 papers that have together received 392 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Blockchain Technology Applications and Security (2 papers), IPv6, Mobility, Handover, Networks, Security (2 papers), Cloud Computing and Remote Desktop Technologies (1 paper), Advanced Manufacturing and Logistics Optimization (1 paper), Wireless Networks and Protocols (1 paper), Cloud Computing and Resource Management (1 paper) and Network Traffic and Congestion Control (1 paper). The work is most often cited by research in Computer Networks and Communications (202 citations), Information Systems (127 citations), Industrial and Manufacturing Engineering (46 citations), Management Information Systems (32 citations) and Medical Laboratory Technology (4 citations). Jan Höller has collaborated with scholars based in Sweden, Germany and Hungary. Frequent co-authors include Vlasios Tsiatsis, Catherine Mulligan, Stamatis Karnouskos, Stefan Avesand, David Boyle, Nanjangud C. Narendra, Umashankar Venkatesh, David Boyle, Aruna Seneviratne and Bin Xiao. Their work appears in journals such as IEEE Intelligent Systems, World Pumps, Academic Press eBooks and CERN Document Server (European Organization for Nuclear Research).

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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