Manfred Klenner

701 citations
61 papers · 463 · h-index 11

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Sentiment Analysis and Opinion Mining
    • Semantic Web and Ontologies
    • Advanced Text Analysis Techniques
    • Hate Speech and Cyberbullying Detection
    • Speech and dialogue systems

Papers in

    • Topic Modeling 33
    • Natural Language Processing Techniques 30
    • Semantic Web and Ontologies 20
    • Sentiment Analysis and Opinion Mining 19
    • Advanced Text Analysis Techniques 12
    • Speech and dialogue systems 4
    • Hate Speech and Cyberbullying Detection 3

Manfred Klenner

55 papers receiving 399 citations

Peers

Manfred Klenner
Comparison fields: 5 of 38
  • Artificial Intelligence 411
  • Communication 27
  • Information Systems 55
  • Management Science and Operations Research 22
  • General Social Sciences 5
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Citations per field
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Citations per year

Countries citing papers authored by Manfred Klenner

Since Specialization
Citations

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

Fields of papers citing papers by Manfred Klenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Querying the Semantic Web with Ginseng: A Guided Input Natural Language Search Engine
200959
2 201951
3 200838
4 200929
5 200923
6 201223
7
Concept versioning: a methodology for tracking evolutionary concept drift in dynamic concept systems
199417
8 199617
9 200716
10 201012
11 201112
12 201310
13 200910
14 201610
15 20179
16 20149
17 20169
18 19959
19 20088
20 20207

About Manfred Klenner

Manfred Klenner is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Language and Linguistics, Management Science and Operations Research and Computer Networks and Communications, having authored 61 papers that have together received 463 indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (30 papers), Semantic Web and Ontologies (20 papers), Sentiment Analysis and Opinion Mining (19 papers), Advanced Text Analysis Techniques (12 papers), Biomedical Text Mining and Ontologies (6 papers), Speech and dialogue systems (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). The work is most often cited by research in Artificial Intelligence (411 citations), Communication (27 citations), Information Systems (55 citations), Management Science and Operations Research (22 citations) and General Social Sciences (5 citations). Manfred Klenner has collaborated with scholars based in Switzerland, Germany and China. Frequent co-authors include Clematide, Udo Hahn, Michael Wiegand, Josef Ruppenhofer, Esther Kaufmann, Abraham Bernstein, Christoph Kiefer, Melanie Siegel, Martin Volk and Nora Hollenstein. Their work appears in journals such as Language Resources and Evaluation, Lecture notes in computer science, Data & Knowledge Engineering, Genome biology and European Conference on Artificial Intelligence.

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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