Markus Gärtner

531 citations
31 papers · 396 · h-index 7

Impact in

Papers in

    • Natural Language Processing Techniques 12
    • Semantic Web and Ontologies 11
    • Topic Modeling 6
    • Multi-Agent Systems and Negotiation 4
    • Research Data Management Practices 4
    • Web Data Mining and Analysis 2

Markus Gärtner

26 papers receiving 359 citations

Peers

Markus Gärtner
Comparison fields: 5 of 109
  • Aging 25
  • Human-Computer Interaction 36
  • Biological Psychiatry 10
  • Geriatrics and Gerontology 13
  • Developmental and Educational Psychology 43
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Citations per field
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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-authors

The 16 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

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018201
2 201066
3 201020
4
ICARUS -- An Extensible Graphical Search Tool for Dependency Treebanks
201317
5 201315
6 201412
7 201811
8 20105
9 20085
10
Creating Silver Standard Annotations for a Corpus of Non-Standard Data.
20165
11 20145
12
Resources, Tools, and Applications at the CLARIN Center Stuttgart
20144
13 20154
14 20193
15 20103
16 19833
17
An Agent-based Centralized e-Marketplace in a Virtual Environment.
20092
18
Sämtliche Schriften : historisch-kritische Ausgabe
19932
19 20202
20 20192

About Markus Gärtner

Markus Gärtner is a scholar working on Artificial Intelligence, Information Systems, Information Systems and Management, Signal Processing and Human-Computer Interaction, having authored 31 papers that have together received 396 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Semantic Web and Ontologies (11 papers), Topic Modeling (6 papers), Research Data Management Practices (4 papers), Multi-Agent Systems and Negotiation (4 papers), Scientific Computing and Data Management (3 papers), Music and Audio Processing (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Aging (25 citations), Human-Computer Interaction (36 citations), Biological Psychiatry (10 citations), Geriatrics and Gerontology (13 citations) and Developmental and Educational Psychology (43 citations). Markus Gärtner has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Helmut Berger, Dieter Merkl, Jonas Kuhn, Anders J. Björkelund, Wolfgang Seeker, Andreas Rauber, Arndt Riester, Antje Schweitzer, Eduard Hanslick and Michael Dittenbach. Their work appears in journals such as Language Resources and Evaluation, Empirical Economics, American Journal of Clinical Nutrition, Information Sciences and Knowledge and Information Systems.

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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