Thomas Gärtner

4.1k citations
88 papers · 1.5k indexed · h-index 18

Thomas Gärtner

59 papers receiving 1.4k citations

Peers

Thomas Gärtner
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 522
  • Artificial Intelligence 748
  • Computational Theory and Mathematics 306
  • Signal Processing 127
  • Computational Mathematics 6
Replace André Elisseeff with:
André Elisseeff Germany
Jun Huan United States
Hisashi Kashima Japan
M.H.C. Law United States
José Ruíz-Shulcloper Cuba
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Michael Collins United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Gärtner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Gärtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202136
3
Learning in Reproducing Kernel Kreın Spaces
20186
4
Nyström Method with Kernel K-means++ Samples as Landmarks
20175
5 20143
6 20113
7 20102
8
Der Paulinus-Titulus aus Nola
20101
9
Ein Homerzitat im platonischen "Kriton"?
20100
10
Player Modeling for Intelligent Difficulty Adjustment.
20094
11
Regularization path for Ranking SVM.
20084
12 20071
13
Zu einer Besonderheit der mythologischen Exempelkataloge in den ovidischen "Amores"
20050
14
Large-Scale Multiclass Transduction
200510
15 20050
16
Fisher Kernels for logical sequences
20043
17
Gott und Götter bei Jacopo Sannazaro und Statius
20040
18
Multi-Instance Kernels
2002295
19
WBCsvm: Weighted Bayesian Classification based on Support Vector Machines
200118
20 20010

About Thomas Gärtner

Thomas Gärtner is a scholar working on Classics, Anthropology, Computational Mathematics, Archeology and Computational Theory and Mathematics, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Classical Antiquity Studies (19 papers), Historical, Religious, and Philosophical Studies (13 papers), Computational Drug Discovery Methods (10 papers), Organic Chemistry Synthesis Methods (9 papers), Historical, Literary, and Cultural Studies (7 papers), Data Mining Algorithms and Applications (6 papers), Linguistics and language evolution (6 papers) and Byzantine Studies and History (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (522 citations), Artificial Intelligence (748 citations), Computational Theory and Mathematics (306 citations), Signal Processing (127 citations) and Computational Mathematics (6 citations). Thomas Gärtner has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Peter Flach, Stefan Wrobel, Alex Smola, Adam Kowalczyk, Tamás Horváth, Ulf Brefeld, Tobias Scheffer, John W. Lloyd, Mario Boley and Jürgen Bajorath. Their work appears in journals such as Machine Learning, Hermes, Journal of Chemical Information and Modeling, Scripta classica Israelica and Emerita.

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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