Roman Klinger

3.0k citations
75 papers · 861 · h-index 17

Impact in

Papers in

    • Topic Modeling 34
    • Sentiment Analysis and Opinion Mining 28
    • Advanced Text Analysis Techniques 18
    • Natural Language Processing Techniques 16
    • Semantic Web and Ontologies 6
    • Biomedical Text Mining and Ontologies 17

Roman Klinger

67 papers receiving 772 citations

Peers

Roman Klinger
Comparison fields: 5 of 90
  • Artificial Intelligence 639
  • Experimental and Cognitive Psychology 80
  • Social Psychology 96
  • Computational Theory and Mathematics 52
  • Molecular Biology 204
Replace Ashequl Qadir with:
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Jena D. Hwang United States
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Citations per field
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Citations per year

Countries citing papers authored by Roman Klinger

Since Specialization
Citations

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

Fields of papers citing papers by Roman Klinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200891
2
An Analysis of Annotated Corpora for Emotion Classification in Text
201880
3 201473
4 201756
5
Chemical Names: Terminological Resources and Corpora Annotation
200850
6 201842
7 201131
8
Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions
201831
9 201728
10 200822
11 201722
12 202020
13
An Empirical Evaluation of Resources for the Identification of Diseases and Adverse Effects in Biomedical Literature
201020
14 202219
15 201318
16
Bi-directional Inter-dependencies of Subjective Expressions and Targets and their Value for a Joint Model
201318
17 201417
18
Improving Distantly Supervised Extraction of Drug-Drug and Protein-Protein Interactions
201215
19 200713
20 202013

About Roman Klinger

Roman Klinger is a scholar working on Artificial Intelligence, Molecular Biology, Social Psychology, Experimental and Cognitive Psychology and Information Systems, having authored 75 papers that have together received 861 indexed citations. Recurring topics across this work include Topic Modeling (34 papers), Sentiment Analysis and Opinion Mining (28 papers), Advanced Text Analysis Techniques (18 papers), Biomedical Text Mining and Ontologies (17 papers), Natural Language Processing Techniques (16 papers), Humor Studies and Applications (7 papers), Semantic Web and Ontologies (6 papers) and Mental Health via Writing (4 papers). The work is most often cited by research in Artificial Intelligence (639 citations), Experimental and Cognitive Psychology (80 citations), Social Psychology (96 citations), Computational Theory and Mathematics (52 citations) and Molecular Biology (204 citations). Roman Klinger has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Philipp Cimiano, Martin Hofmann‐Apitius, Evgeny Kim, Christoph M. Friedrich, Juliane Fluck, Sebastian Padó, Jeremy Barnes, Philippe Thomas, Alexandra Balahur and Orphée De Clercq. Their work appears in journals such as Language Resources and Evaluation, BMC Bioinformatics, Data & Knowledge Engineering, Natural Language Engineering and Journal of Bioinformatics and Computational Biology.

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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