Ingo Glöckner

515 citations
50 papers · 384 · h-index 10

Impact in

Papers in

Ingo Glöckner

46 papers receiving 345 citations

Peers

Ingo Glöckner
Comparison fields: 5 of 34
  • Artificial Intelligence 311
  • Computational Theory and Mathematics 132
  • Management Science and Operations Research 93
  • Signal Processing 51
  • Information Systems 52
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Citations per year

Countries citing papers authored by Ingo Glöckner

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Glöckner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Ingo Glöckner, 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 Ingo Glöckner Line = papers co-authored together Ingo Glöckner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200668
2 200649
3 201025
4 200121
5 200419
6 201013
7 199813
8 200811
9
Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing)
200610
10 200910
11
University of Hagen at QA@CLEF 2006: Answer Validation Exercise
20069
12
Fuzzy Quantifiers: A Natural Language Technique for Data Fusion
20019
13 20079
14
Towards Logic-Based Question Answering under Time Constraints
20089
15 20088
16 20097
17 20097
18
The LogAnswer Project at CLEF 2009
20096
19 19995
20
Data Fusion Based on Fuzzy Quantifiers
19985

About Ingo Glöckner

Ingo Glöckner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Management Science and Operations Research and Signal Processing, having authored 50 papers that have together received 384 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Semantic Web and Ontologies (18 papers), Topic Modeling (16 papers), Rough Sets and Fuzzy Logic (11 papers), Multi-Criteria Decision Making (7 papers), Speech and dialogue systems (7 papers), Logic, Reasoning, and Knowledge (7 papers) and Advanced Algebra and Logic (6 papers). The work is most often cited by research in Artificial Intelligence (311 citations), Computational Theory and Mathematics (132 citations), Management Science and Operations Research (93 citations), Signal Processing (51 citations) and Information Systems (52 citations). Ingo Glöckner has collaborated with scholars based in Germany and Ireland. Frequent co-authors include Alois Knoll, Ulrich Furbach, Sven Hartrumpf, Hermann Helbig, Johannes Leveling, Thomas Noll, Joachim Biskup, Burkhard Monien, Reinhard Lüling and Martin Müller. Their work appears in journals such as Lecture notes in computer science, International Journal of Intelligent Systems, International Journal of Approximate Reasoning, KI - Künstliche Intelligenz and AI Communications.

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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