Detlef Nauck

4.2k citations
66 papers · 2.3k indexed · 1 hit paper · h-index 20
Topics
Fuzzy Logic and Control Systems (30 papers)Neural Networks and Applications (27 papers)Data Mining Algorithms and Applications (13 papers)

In The Last Decade

Detlef Nauck

65 papers receiving 2.0k citations

Hit Papers

Foundations of neuro-fuzzy systems19972026200620161997100200300400500

Peers

Detlef Nauck
Comparison fields: 5 of 129
  • Artificial Intelligence 1.5k
  • Control and Systems Engineering 320
  • Information Systems 262
  • Computational Theory and Mathematics 260
  • Management Science and Operations Research 227
Replace Jorge Casillas with:
Jorge Casillas Spain
Thomas A. Runkler Germany
Emilio Carrizosa Spain
Giovanni Acampora Italy
Chang-Shing Lee Taiwan
Kit Yan Chan Australia
Rafael Alcalá Spain
Piero P. Bonissone United States
Ramón López de Mántaras Spain
Sungzoon Cho South Korea
Detlef Nauck relative to Jorge Casillas Spain Jorge Casillas's profile →
Citations per field
00.5×1.5×
Jorge Casillas · 1×
Citations per year

Countries citing papers authored by Detlef Nauck

Since Specialization
Citations

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

Fields of papers citing papers by Detlef Nauck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Detlef Nauck

This figure shows the co-authorship network connecting the top 25 collaborators of Detlef Nauck. A scholar is included among the top collaborators of Detlef Nauck 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 Detlef Nauck. Detlef Nauck 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
#WorkIndexed citations
1 4
2 11
3 3
4 5
5 1
6 3
7 9
8 62
9 2
10 34
11 9
12 6
13 50
14
9th International Conference on Fuzzy Systems (FUZZ-IEEE 2000).
2
15 312
16 34
17
A Neuro-Fuzzy Development Tool for Fuzzy Controllers under MATLAB/SIMULINK
6
18
Foundations of neuro-fuzzy systemsbreakdown →
520
19 271
20 52

About Detlef Nauck

Detlef Nauck is a scholar working on Statistics and Probability, Artificial Intelligence and Management Information Systems, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (30 papers), Neural Networks and Applications (27 papers) and Data Mining Algorithms and Applications (13 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Statistics and Probability (163 citations) and Management Information Systems (175 citations). Detlef Nauck has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include Rudolf Kruse, Frank Klawonn, Ben Azvine, Zhanfeng Cui, Martin Spott, Basim Majeed, Andreas Nürnberger, Christian Borgelt, Bogdan Gabryś and Ching‐Tien Ho. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Fuzzy Sets and Systems.

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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