Fritz Wysotzki

1.3k total citations
40 papers, 611 citations indexed

About

Fritz Wysotzki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Nuclear and High Energy Physics. According to data from OpenAlex, Fritz Wysotzki has authored 40 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Nuclear and High Energy Physics. Recurrent topics in Fritz Wysotzki's work include Neural Networks and Applications (10 papers), Graph Theory and Algorithms (5 papers) and Particle physics theoretical and experimental studies (5 papers). Fritz Wysotzki is often cited by papers focused on Neural Networks and Applications (10 papers), Graph Theory and Algorithms (5 papers) and Particle physics theoretical and experimental studies (5 papers). Fritz Wysotzki collaborates with scholars based in Germany, United Kingdom and Poland. Fritz Wysotzki's co-authors include Brijnesh J. Jain, G. Böhm, Peter Geibel, J. Klabuhn, T. Pniewski, D.H. Davis, Jakub Zakrzewski, A. Montwill, T. Cantwell and U. Krecker and has published in prestigious journals such as Nuclear Physics B, Neurocomputing and Neural Networks.

In The Last Decade

Fritz Wysotzki

37 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fritz Wysotzki Germany	12	367	147	123	68	42	40	611
Yusuke Tanimura Japan	14	301 0.8×	51 0.3×	138 1.1×	14 0.2×	21 0.5×	69	536
A. S. Ito Japan	16	1.1k 3.1×	133 0.9×	60 0.5×	50 0.7×	82 2.0×	80	1.4k
Iwao Sato Japan	13	135 0.4×	178 1.2×	96 0.8×	108 1.6×	263 6.3×	107	718
Joseph Sventek United Kingdom	13	244 0.7×	39 0.3×	109 0.9×	8 0.1×	10 0.2×	29	403
M. E. Sevior Australia	15	589 1.6×	88 0.6×	117 1.0×	4 0.1×	19 0.5×	70	769
Daniel Langr Czechia	12	283 0.8×	54 0.4×	137 1.1×	21 0.3×	33 0.8×	46	494
R. K. Böck Switzerland	9	146 0.4×	71 0.5×	14 0.1×	37 0.5×	9 0.2×	26	369
Gurtej Kanwar United States	11	226 0.6×	139 0.9×	109 0.9×	32 0.5×	24 0.6×	29	561
David Daniel United States	17	282 0.8×	75 0.5×	27 0.2×	22 0.3×	9 0.2×	26	701
T. S. Santhanam India	11	49 0.1×	117 0.8×	196 1.6×	40 0.6×	23 0.5×	54	414

Countries citing papers authored by Fritz Wysotzki

Since Specialization

Citations

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

Fields of papers citing papers by Fritz Wysotzki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fritz Wysotzki

This figure shows the co-authorship network connecting the top 25 collaborators of Fritz Wysotzki. A scholar is included among the top collaborators of Fritz Wysotzki 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 Fritz Wysotzki. Fritz Wysotzki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wysotzki, Fritz & Peter Geibel. (2009). A New Information Measure Based on Example-Dependent Misclassification Costs and Its Application in Decision Tree Learning. Hindawi Journal of Chemistry (Hindawi). 2009. 1–13. 2 indexed citations

Jain, Brijnesh J. & Fritz Wysotzki. (2004). The maximum weighted clique problem and Hopfield networks.. The European Symposium on Artificial Neural Networks. 17(10). 331–336. 6 indexed citations

Geibel, Peter, Brijnesh J. Jain, & Fritz Wysotzki. (2004). SVM learning with the SH inner product.. The European Symposium on Artificial Neural Networks. 299–304. 1 indexed citations

Jain, Brijnesh J. & Fritz Wysotzki. (2004). Solving inexact graph isomorphism problems using neural networks. Neurocomputing. 63. 45–67. 10 indexed citations

Geibel, Peter & Fritz Wysotzki. (2003). Perceptron based learning with example dependent and noisy costs. International Conference on Machine Learning. 218–225. 11 indexed citations

Jain, Brijnesh J. & Fritz Wysotzki. (2003). Discrimination networks for maximum selection. Neural Networks. 17(1). 143–154. 1 indexed citations

Jain, Brijnesh J. & Fritz Wysotzki. (2001). Distance-based Classification of Structures within a Connectionist Framework. 1 indexed citations

Jain, Brijnesh J. & Fritz Wysotzki. (2001). On the short-term-memory of WTA nets.. The European Symposium on Artificial Neural Networks. 289–294. 1 indexed citations

Schmid, Ute & Fritz Wysotzki. (2000). Applying inductive program synthesis to macro learning. 371–378. 8 indexed citations

10.

Wysotzki, Fritz, et al.. (1998). Application of a neural net in classification and knowledge discovery.. The European Symposium on Artificial Neural Networks. 117–122. 4 indexed citations

11.

Wysotzki, Fritz. (1997). Maschinelles Lernen. at - Automatisierungstechnik. 45(11). 526–536. 1 indexed citations

12.

Geibel, Peter & Fritz Wysotzki. (1996). Relational Learning with Decision Trees.. European Conference on Artificial Intelligence. 428–432. 4 indexed citations

13.

Geibel, Peter & Fritz Wysotzki. (1996). Learning Relational Concepts with Decision Trees.. International Conference on Machine Learning. 166–174. 15 indexed citations

14.

Hommel, G., et al.. (1996). Aerial Robotics in Computer Science Education. Computer Science Education. 7(2). 239–246. 2 indexed citations

15.

Wysotzki, Fritz, et al.. (1995). Lernfähige Klassifikation von Zeitreihen. at - Automatisierungstechnik. 43(2). 70–76. 2 indexed citations

16.

Müller, Wolfgang & Fritz Wysotzki. (1994). Automatic construction of decision trees for classification. Annals of Operations Research. 52(4). 231–247. 21 indexed citations

17.

Wysotzki, Fritz. (1986). Program Synthesis by Hierarchical Planning.. 46(6). 3–11. 1 indexed citations

18.

Wysotzki, Fritz. (1983). Representation and induction of infinite concepts and recursive action sequences. International Joint Conference on Artificial Intelligence. 409–414. 3 indexed citations

19.

Wysotzki, Fritz, et al.. (1981). Concept learning by structured examples: an algebraic approach. International Joint Conference on Artificial Intelligence. 7(3). 153–158. 4 indexed citations

20.

Klix, Friedhart, et al.. (1974). Erkennungs- und Klassifizierungsprozesse. 1 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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