Jan Scheffczyk

1.7k citations
27 papers · 877 indexed · 1 hit paper · h-index 12

Impact in

Papers in

Jan Scheffczyk

24 papers receiving 768 citations

Hit Papers

FrameNet II: Extended theory and practice 2006 · 477 citations
4772006202620122019100200300400

Peers

Jan Scheffczyk
Comparison fields: 5 of 99
  • Artificial Intelligence 524
  • Language and Linguistics 157
  • Process Chemistry and Technology 18
  • Experimental and Cognitive Psychology 71
  • Software 16
Replace Masao Utiyama with:
Masao Utiyama Japan
Dániel Varga Hungary
Marius Popescu Romania
Jiang Guo China
Masako Takahashi Japan
Minhua Wu China
Massimiliano Carrara Italy
Natalia Silveira United States
María Manzano Spain
Charles Reiss United States
Jan Scheffczyk relative to Masao Utiyama Japan Masao Utiyama's profile →
Citations per field
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Masao Utiyama · 1×
Citations per year

Countries citing papers authored by Jan Scheffczyk

Since Specialization
Citations

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

Fields of papers citing papers by Jan Scheffczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
FrameNet II: Extended theory and practice
Hit paper breakdown →
2006477
2 201654
3
BioFrameNet: A Domain-Specific FrameNet Extension with Links to Biomedical Ontologies.
200640
4 201839
5 201938
6 201637
7
Linking FrameNet to the Suggested Upper Merged Ontology
200632
8 200627
9 201927
10 201624
11 200518
12 200415
13 200310
14 20038
15 20056
16 20185
17 20035
18
Efficient (In-)Consistency Management for Heterogeneous Repositories.
20033
19 20043
20 20223

About Jan Scheffczyk

Jan Scheffczyk is a scholar working on Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering, Information Systems and Molecular Biology, having authored 27 papers that have together received 877 indexed citations. Recurring topics across this work include Process Optimization and Integration (9 papers), Semantic Web and Ontologies (8 papers), Natural Language Processing Techniques (4 papers), Catalysis for Biomass Conversion (4 papers), Software Engineering Research (4 papers), Logic, programming, and type systems (3 papers), Advanced Database Systems and Queries (3 papers) and Digital and Traditional Archives Management (2 papers). The work is most often cited by research in Artificial Intelligence (524 citations), Language and Linguistics (157 citations), Process Chemistry and Technology (18 citations), Experimental and Cognitive Psychology (71 citations) and Software (16 citations). Jan Scheffczyk has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michael Ellsworth, Josef Ruppenhofer, Miriam R. L. Petruck, Christopher R. Johnson, André Bardow, Kai Leonhard, Lorenz Fleitmann, Uwe M. Borghoff, Srini Narayanan and Adam Pease. Their work appears in journals such as Chemie Ingenieur Technik, Molecular Systems Design & Engineering, Sustainable Energy & Fuels, Process Safety and Environmental Protection and Industrial & Engineering Chemistry Research.

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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