Markus Gärtner

506 citations
23 papers · 149 indexed · h-index 6

Markus Gärtner

21 papers receiving 124 citations

Peers

Markus Gärtner
Comparison fields: 5 of 64
  • Human-Computer Interaction 29
  • Developmental and Educational Psychology 34
  • Geology 10
  • Artificial Intelligence 53
  • Computer Vision and Pattern Recognition 29
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Citations per year

Countries citing papers authored by Markus Gärtner

Since Specialization
Citations

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

Fields of papers citing papers by Markus Gärtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Markus 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 Markus Gärtner Line = papers co-authored together Markus Gärtner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Verlustanalyse am Kolben-Buchse-Kontakt von Axialkolbenpumpen in Schrägscheibenbauweise
20202
2 20192
3
A Lightweight Modeling Middleware for Corpus Processing
20182
4
NLATool: an Application for Enhanced Deep Text Understanding
20181
5
Making Corpus Querying Ready for the Future: Challenges and Concepts.
20180
6
German Radio Interviews: The GRAIN Release of the SFB732 Silver Standard Collection
20188
7 20171
8
Creating Silver Standard Annotations for a Corpus of Non-Standard Data.
20162
9 20151
10 20152
11
Resources, Tools, and Applications at the CLARIN Center Stuttgart
20143
12 20143
13
ICARUS -- An Extensible Graphical Search Tool for Dependency Treebanks
201314
14 201314
15 201016
16
New Directions in Science Communication: A Virtual Research & Experience Landscape
20091
17
An Agent-based Centralized e-Marketplace in a Virtual Environment.
20092
18 20085
19
Sämtliche Schriften : historisch-kritische Ausgabe
19931
20 19833

About Markus Gärtner

Markus Gärtner is a scholar working on Artificial Intelligence, Human-Computer Interaction and Signal Processing, having authored 23 papers that have together received 149 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Semantic Web and Ontologies (8 papers), Topic Modeling (5 papers), Multi-Agent Systems and Negotiation (3 papers), Digital Humanities and Scholarship (2 papers), Web Data Mining and Analysis (2 papers), Music and Audio Processing (2 papers) and Interactive and Immersive Displays (2 papers). The work is most often cited by research in Human-Computer Interaction (29 citations), Developmental and Educational Psychology (34 citations) and Geology (10 citations). Markus Gärtner has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Helmut Berger, Dieter Merkl, Jonas Kuhn, Anders Björkelund, Wolfgang Seeker, Andreas Rauber, Antje Schweitzer, Hubertus Murrenhoff, Katharina Schmitz and Agnieszka Faleńska. Their work appears in journals such as Language Resources and Evaluation, Information Sciences, Empirical Economics, Knowledge and Information Systems and RWTH Publications (RWTH Aachen).

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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