Edwin Lughofer

8.8k citations
246 papers · 6.7k · h-index 43

Impact in

    • Fuzzy Logic and Control Systems
    • Neural Networks and Applications
    • Data Stream Mining Techniques
    • Anomaly Detection Techniques and Applications
    • Machine Learning and Data Classification
    • Fault Detection and Control Systems

Papers in

    • Fuzzy Logic and Control Systems 93
    • Neural Networks and Applications 77
    • Data Stream Mining Techniques 58
    • Anomaly Detection Techniques and Applications 29
    • Evolutionary Algorithms and Applications 19
    • Fault Detection and Control Systems 60

Edwin Lughofer

242 papers receiving 6.5k citations

Peers

Edwin Lughofer
Comparison fields: 5 of 153
  • Artificial Intelligence 4.6k
  • Control and Systems Engineering 1.7k
  • Statistics and Probability 450
  • Signal Processing 507
  • Management Science and Operations Research 505
Replace Bogdan Gabryś with:
Bogdan Gabryś United Kingdom
Fernando Gomide Brazil
James Llinas United States
Myong K. Jeong United States
Fevrier Valdez Mexico
Jesús Alcalá‐Fdez Spain
Mahardhika Pratama Singapore
Cesare Alippi Italy
Fu-Lai Chung Hong Kong
Suresh Chandra India
Edwin Lughofer relative to Bogdan Gabryś United Kingdom Bogdan Gabryś's profile →
Citations per field
00.5×4.1×
Bogdan Gabryś · 1×
Citations per year

Countries citing papers authored by Edwin Lughofer

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Lughofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 246 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011308
2 2008280
3 2019232
4 2013228
5 2008160
6 2010156
7 2013140
8 2016135
9 2015133
10 2007122
11 2013114
12 201195
13 201889
14 201289
15 201588
16 201486
17 201486
18 201782
19 201380
20 201177

About Edwin Lughofer

Edwin Lughofer is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistics and Probability, Mechanical Engineering and Computational Theory and Mathematics, having authored 246 papers that have together received 6.7k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (93 papers), Neural Networks and Applications (77 papers), Fault Detection and Control Systems (60 papers), Data Stream Mining Techniques (58 papers), Anomaly Detection Techniques and Applications (29 papers), Evolutionary Algorithms and Applications (19 papers), Fuzzy Systems and Optimization (18 papers) and Spectroscopy and Chemometric Analyses (16 papers). The work is most often cited by research in Artificial Intelligence (4.6k citations), Control and Systems Engineering (1.7k citations), Statistics and Probability (450 citations), Signal Processing (507 citations) and Management Science and Operations Research (505 citations). Edwin Lughofer has collaborated with scholars based in Austria, Australia and United Kingdom. Frequent co-authors include Mahardhika Pratama, Plamen Angelov, Sreenatha G. Anavatti, Erich Peter Klement, Igor Škrjanc, Paulo Vitor de Campos Souza, Christian Eitzinger, Moamar Sayed‐Mouchaweh, Alexandru-Ciprian Zăvoianu and Xiaowei Zhou. Their work appears in journals such as Information Sciences, IEEE Transactions on Fuzzy Systems, Applied Soft Computing, Evolving Systems and Neurocomputing.

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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