Thorsten Eisenhofer

449 citations
6 papers · 48 indexed · h-index 4
Topics
Privacy, Security, and Data Protection (2 papers)Network Packet Processing and Optimization (1 paper)User Authentication and Security Systems (1 paper)
Journals
Computer Speech & LanguageInternational Conference on Machine Learning
Partner nations
GermanyAustriaAustralia

In The Last Decade

Thorsten Eisenhofer

5 papers receiving 45 citations

Peers

Thorsten Eisenhofer
Comparison fields: 5 of 24
  • Computer Vision and Pattern Recognition 17
  • Artificial Intelligence 15
  • Aerospace Engineering 14
  • Signal Processing 7
  • Information Systems 6
Replace Lea Schönherr with:
Lea Schönherr Germany
Walter Allasia Italy
Enyu Zhou United States
Xiaoshuang Ma China
Shikhar Singh United States
Myunggu Kang South Korea
Gaurangi Anand Australia
Wangding Zeng China
Thorsten Eisenhofer relative to Lea Schönherr Germany Lea Schönherr's profile →
Citations per field
00.5×1.5×
Lea Schönherr · 1×
Citations per year

Countries citing papers authored by Thorsten Eisenhofer

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Eisenhofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Eisenhofer

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 3
2 0
3 8
4 23
5 4
6
Leveraging Frequency Analysis for Deep Fake Image Recognition
10

About Thorsten Eisenhofer

Thorsten Eisenhofer is a scholar working on Software, Hardware and Architecture and Signal Processing, having authored 6 papers that have together received 48 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (2 papers), Network Packet Processing and Optimization (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (17 citations), Software (3 citations) and Health Informatics (1 citation). Thorsten Eisenhofer has collaborated with scholars based in Germany, Austria and Australia. Frequent co-authors include Lea Schönherr, Thorsten Holz, J. Howard Frank, Asja Fischer, Dorothea Kolossa, Markus Dürmuth, Maximilian Golla, Olga Ohrimenko, Varun Chandrasekaran and Esha Ghosh. Their work appears in journals such as Computer Speech & Language and International Conference on Machine Learning.

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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