Markus Eisenhauer

2.0k citations
20 papers · 433 · h-index 9

Impact in

Papers in

Markus Eisenhauer

19 papers receiving 402 citations

Peers

Markus Eisenhauer
Comparison fields: 5 of 68
  • General Decision Sciences 50
  • Computer Networks and Communications 241
  • Computer Vision and Pattern Recognition 125
  • Industrial and Manufacturing Engineering 49
  • Information Systems 105
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M. Birna van Riemsdijk Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Markus Eisenhauer

Since Specialization
Citations

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

Fields of papers citing papers by Markus Eisenhauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2009166
2 200371
3
Internet of Things Strategic Research and Innovation Agenda
201449
4 201640
5 201535
6 201515
7 200810
8
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
20099
9 20138
10 20166
11 20006
12
TOWARDS A GENERIC MIDDLEWARE FOR DEVELOPING AMBIENT INTELLIGENCE APPLICATIONS
20115
13 20083
14 20113
15 20072
16 20092
17
SEAM4US: Intelligent Energy Management for Public Underground Spaces through Cyber-Physical Systems.
20141
18
Enabling Natural Interaction by Approaching Objects
20051
19 20121
20 20100

About Markus Eisenhauer

Markus Eisenhauer is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 433 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), Energy Efficient Wireless Sensor Networks (3 papers), Software Engineering Techniques and Practices (3 papers), IoT and Edge/Fog Computing (3 papers), Service-Oriented Architecture and Web Services (3 papers), Decision-Making and Behavioral Economics (2 papers), Advanced Software Engineering Methodologies (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in General Decision Sciences (50 citations), Computer Networks and Communications (241 citations), Computer Vision and Pattern Recognition (125 citations), Industrial and Manufacturing Engineering (49 citations) and Information Systems (105 citations). Markus Eisenhauer has collaborated with scholars based in Germany, Italy and Brazil. Frequent co-authors include Peter Rosengren, Pablo Antolín, Oliver Hardt, Rüdiger Pohl, Djamel Sadok, Ferry Pramudianto, Christian R. Prause, Marc Jentsch, Eduardo Souto and Claudio Pastrone. Their work appears in journals such as Computers in Industry, Memory, Computer Communications, IEEE Systems Journal and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

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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