Stefan Geißler

566 total citations
54 papers, 371 citations indexed

About

Stefan Geißler is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stefan Geißler has authored 54 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 14 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stefan Geißler's work include Software-Defined Networks and 5G (12 papers), IoT Networks and Protocols (10 papers) and Energy Harvesting in Wireless Networks (8 papers). Stefan Geißler is often cited by papers focused on Software-Defined Networks and 5G (12 papers), IoT Networks and Protocols (10 papers) and Energy Harvesting in Wireless Networks (8 papers). Stefan Geißler collaborates with scholars based in Germany, Italy and France. Stefan Geißler's co-authors include Tobias Hoßfeld, Frank Loh, Florian Wamser, W. Wegscheider, Stanislav Lange, J. Sadowski, D. Weiß, Thomas Zinner, Daniel Neumaier and Ursula Wurstbauer and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical Review B.

In The Last Decade

Stefan Geißler

50 papers receiving 338 citations

Peers

Stefan Geißler
Comparison fields: 5 of 56
  • Computer Networks and Communications 153
  • Electrical and Electronic Engineering 102
  • Atomic and Molecular Physics, and Optics 82
  • Materials Chemistry 76
  • Computer Vision and Pattern Recognition 49
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Citations per field, relative to Stefan Geißler
Stefan Geißler · 1×
Citations per year, relative to Stefan Geißler
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Countries citing papers authored by Stefan Geißler

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Geißler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Geißler

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 3
4 0
5 8
6 1
7 1
8 0
9 1
10 4
11 4
12 25
13
Signaling Traffic in Internet-of-Things Mobile Networks
6
14 0
15 7
16 4
17 2
18 5
19
Orbis Latinus Online (OLO).
1
20 50

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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