Klaus U. Schulz

2.0k total citations
66 papers, 701 citations indexed

About

Klaus U. Schulz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Klaus U. Schulz has authored 66 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Klaus U. Schulz's work include Natural Language Processing Techniques (24 papers), Algorithms and Data Compression (20 papers) and Handwritten Text Recognition Techniques (13 papers). Klaus U. Schulz is often cited by papers focused on Natural Language Processing Techniques (24 papers), Algorithms and Data Compression (20 papers) and Handwritten Text Recognition Techniques (13 papers). Klaus U. Schulz collaborates with scholars based in Germany, Bulgaria and United States. Klaus U. Schulz's co-authors include Stoyan Mihov, Franz Baader, Christoph Koch, Georg Gottlob, Holger Meuss, Andreas Neumann, Manfred Schmidt-Schauß, Paul Buitelaar, François Bry and Markus O. Heller and has published in prestigious journals such as Journal of the ACM, Theoretical Computer Science and Journal of Biomedical Informatics.

In The Last Decade

Klaus U. Schulz

62 papers receiving 591 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Klaus U. Schulz Germany 15 543 154 144 139 121 66 701
Mehrnoush Shamsfard Iran 15 765 1.4× 74 0.5× 47 0.3× 103 0.7× 353 2.9× 77 927
Rafael Peñaloza Germany 14 658 1.2× 78 0.5× 216 1.5× 55 0.4× 157 1.3× 96 753
Alessandro Artale Italy 14 781 1.4× 434 2.8× 79 0.5× 33 0.2× 227 1.9× 59 880
Marc Vilain United States 13 1.2k 2.3× 465 3.0× 77 0.5× 86 0.6× 135 1.1× 30 1.5k
Sun Wu United States 8 845 1.6× 431 2.8× 127 0.9× 94 0.7× 215 1.8× 19 1.2k
Sebastian Maneth Germany 15 668 1.2× 308 2.0× 314 2.2× 65 0.5× 179 1.5× 71 916
Shankar Kumar United States 18 1.6k 3.0× 71 0.5× 50 0.3× 218 1.6× 268 2.2× 30 1.8k
Ralph E. Griswold United States 13 535 1.0× 222 1.4× 157 1.1× 33 0.2× 172 1.4× 66 795
Mathias Niepert United States 16 801 1.5× 124 0.8× 40 0.3× 204 1.5× 204 1.7× 60 970
Sven Groppe Germany 13 365 0.7× 354 2.3× 37 0.3× 77 0.6× 148 1.2× 108 583

Countries citing papers authored by Klaus U. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Klaus U. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus U. Schulz. 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 Klaus U. Schulz. The network helps show where Klaus U. Schulz may publish in the future.

Co-authorship network of co-authors of Klaus U. Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus U. Schulz. A scholar is included among the top collaborators of Klaus U. Schulz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Klaus U. Schulz. Klaus U. Schulz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schulz, Klaus U., et al.. (2022). Heat Conduction through Different Slag Layers in Mold. Thermal Conductivity Measurement of Commercial Mold Fluxes. ISIJ International. 63(2). 216–227. 3 indexed citations
2.
Schulz, Klaus U., et al.. (2017). Significant Word-based Text Alignment for Text Reuse Detection. 2 indexed citations
3.
Mihov, Stoyan, et al.. (2011). Deciding word neighborhood with universal neighborhood automata. Theoretical Computer Science. 412(22). 2340–2355. 3 indexed citations
4.
Muskens, Reinhard, et al.. (2010). An analytic tableau system for natural logic. Research portal (Tilburg University). 4 indexed citations
5.
Schulz, Klaus U., et al.. (2010). Ontology modularization to improve semantic medical image annotation. Journal of Biomedical Informatics. 44(1). 155–162. 20 indexed citations
6.
Schulz, Klaus U., et al.. (2010). An Ontology of Socio-Cultural Time Expressions.. National Conference on Artificial Intelligence. 1 indexed citations
7.
Gross, Gaston & Klaus U. Schulz. (2008). Linguistics, Computer Science and Language Processing. Festschrift for Franz Guenthner on the Occasion of his 60th Birthday. SPIRE - Sciences Po Institutional REpository. 286. 5 indexed citations
8.
Hauser, Andreas, et al.. (2007). Information Access to Historical Documents from the Early New High German Period. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 23 indexed citations
9.
Schulz, Klaus U., et al.. (2007). Deriving Symbol Dependent Edit Weights for Text Correction_The Use of Error Dictionaries. Proceedings of the International Conference on Document Analysis and Recognition. 3. 639–643. 3 indexed citations
10.
Schulz, Klaus U., et al.. (2005). Decidability of bounded higher-order unification. Journal of Symbolic Computation. 40(2). 905–954. 1 indexed citations
11.
Schulz, Klaus U., et al.. (2005). Stable methods for recognizing acronym-expansion pairs: from rule sets to hidden Markov models. International Journal on Document Analysis and Recognition (IJDAR). 8(1). 1–14. 1 indexed citations
12.
Gottlob, Georg, Christoph Koch, & Klaus U. Schulz. (2004). Conjunctive queries over trees. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 189–200. 33 indexed citations
13.
Mihov, Stoyan & Klaus U. Schulz. (2004). Fast Approximate Search in Large Dictionaries. Computational Linguistics. 30(4). 451–477. 40 indexed citations
14.
Meuss, Holger, Klaus U. Schulz, & François Bry. (2003). Visual Querying and Exploration of Large Answers in XML Databases with X2.. 91(2). 777–779. 4 indexed citations
15.
Schulz, Klaus U., et al.. (2003). Models and Algorithms for School Timetabling - A Constraint-Programming Approach. 10 indexed citations
16.
Schmidt-Schauß, Manfred & Klaus U. Schulz. (2002). Solvability of Context Equations with Two Context Variables is Decidable. Journal of Symbolic Computation. 33(1). 77–122. 18 indexed citations
17.
Baader, Franz & Klaus U. Schulz. (1998). Combination of constraint solvers for free and quasi-free structures. Theoretical Computer Science. 192(1). 107–161. 10 indexed citations
18.
Schulz, Klaus U.. (1997). A Criterion for Intractability of E-unification with Free Function Symbols and Its Relevance for Combination Algorithms. 284–298.
19.
Schulz, Klaus U., et al.. (1996). Between finite state and Prolog: constraint-based automata for efficient recognition of phrases. Natural Language Engineering. 2(4). 365–366.
20.
Baader, Franz & Klaus U. Schulz. (1995). Combination techniques and decision problems for disunification. Theoretical Computer Science. 142(2). 229–255. 7 indexed citations

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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