Timm Euler

1k citations
3 papers · 823 · 1 hit paper · h-index 2

Impact in

    • Online Learning and Analytics
    • Intelligent Tutoring Systems and Adaptive Learning
    • Machine Learning and Data Classification
    • Sentiment Analysis and Opinion Mining
    • Text and Document Classification Technologies

Papers in

Journals
Journal of Telecommunications and Information Technology (1 paper)ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) (1 paper)Proceedings - International Workshop on Database and Expert Systems Applications/Proceedings (1 paper)
Partner nations
Germany

In The Last Decade

Timm Euler

3 papers receiving 767 citations

Timm Euler's Hit Papers

YALE 2006 · 816 citations
8160+6+13Years since publication250500750

Peers

Timm Euler
Comparison fields: 5 of 111
  • Computer Science Applications 52
  • Artificial Intelligence 301
  • Information Systems 164
  • Information Systems and Management 43
  • General Social Sciences 12
Replace Michael Wurst with:
Michael Wurst Germany
Henry R. Ehrenberg United States
Ingo Mierswa Germany
Dunren Che United States
Yangzhou Du China
Alessandro Cucchiarelli Italy
Fred P. Popowich Canada
Nong Ye United States
Stanisław Woźniak Switzerland
Jie M. Zhang United Kingdom
Timm Euler relative to Michael Wurst Germany Michael Wurst's profile →
Citations per field
00.5×1.5×
Michael Wurst · 1×
Citations per year

Countries citing papers authored by Timm Euler

Since Specialization
Citations

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

Fields of papers citing papers by Timm Euler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Timm Euler, 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 Timm Euler Line = papers co-authored together Timm Euler links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
YALE
Hit paper breakdown →
2006816
2 20046
3 20061

About Timm Euler

Timm Euler is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 3 papers that have together received 823 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (2 papers), Data Mining and Machine Learning Applications (1 paper), Big Data and Business Intelligence (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Computer Science Applications (52 citations), Artificial Intelligence (301 citations), Information Systems (164 citations), Information Systems and Management (43 citations) and General Social Sciences (12 citations). Timm Euler has collaborated with scholars based in Germany. Frequent co-authors include Michael Wurst, Ralf Klinkenberg, Martin Scholz and Ingo Mierswa. Their work appears in journals such as Journal of Telecommunications and Information Technology, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) and Proceedings - International Workshop on Database and Expert Systems Applications/Proceedings.

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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