Edwin Lughofer

8.7k total citations
211 papers, 5.8k citations indexed

About

Edwin Lughofer is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Edwin Lughofer has authored 211 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Artificial Intelligence, 61 papers in Control and Systems Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Edwin Lughofer's work include Fuzzy Logic and Control Systems (81 papers), Neural Networks and Applications (68 papers) and Fault Detection and Control Systems (52 papers). Edwin Lughofer is often cited by papers focused on Fuzzy Logic and Control Systems (81 papers), Neural Networks and Applications (68 papers) and Fault Detection and Control Systems (52 papers). Edwin Lughofer collaborates with scholars based in Austria, Australia and United Kingdom. Edwin Lughofer's co-authors include Mahardhika Pratama, Plamen Angelov, Sreenatha G. Anavatti, Erich Peter Klement, Igor Škrjanc, Paulo Vitor de Campos Souza, Moamar Sayed‐Mouchaweh, Christian Eitzinger, Xiaowei Zhou and Alexandru-Ciprian Zăvoianu and has published in prestigious journals such as Analytical Chemistry, IEEE Access and Analytica Chimica Acta.

In The Last Decade

Edwin Lughofer

209 papers receiving 5.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Edwin Lughofer	4.0k	1.5k	457	434	424	211	5.8k
Fernando Gomide	4.2k 1.1×	1.4k 0.9×	1.3k 2.8×	428 1.0×	255 0.6×	220	6.6k
L.-X. Wang	3.4k 0.8×	2.3k 1.5×	374 0.8×	282 0.6×	277 0.7×	11	5.1k
Chia‐Feng Juang	4.4k 1.1×	2.4k 1.6×	238 0.5×	1.2k 2.8×	270 0.6×	168	7.1k
Bogdan Gabryś	2.1k 0.5×	2.0k 1.3×	307 0.7×	590 1.4×	803 1.9×	149	5.3k
Lixin Wang	2.9k 0.7×	4.2k 2.8×	293 0.6×	479 1.1×	570 1.3×	304	8.0k
Kaoru Hirota	2.0k 0.5×	746 0.5×	630 1.4×	824 1.9×	138 0.3×	262	3.8k
Fevrier Valdez	2.3k 0.6×	952 0.6×	262 0.6×	466 1.1×	142 0.3×	133	3.5k
Frank Hoffmann	2.0k 0.5×	1.2k 0.8×	257 0.6×	1.3k 2.9×	336 0.8×	113	4.3k
Luis Magdalena	2.6k 0.6×	476 0.3×	477 1.0×	377 0.9×	156 0.4×	93	3.6k
N. Sundararajan	3.5k 0.9×	1.5k 1.0×	136 0.3×	793 1.8×	182 0.4×	181	5.5k

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-authorship network of co-authors of Edwin Lughofer

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

All Works

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20 of 20 papers shown

Hayat, Khizar, et al.. (2022). New group-based generalized interval-valued q-rung orthopair fuzzy soft aggregation operators and their applications in sports decision-making problems. Computational and Applied Mathematics. 42(1). 22 indexed citations

Souza, Paulo Vitor de Campos & Edwin Lughofer. (2022). Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback. Evolving Systems. 14(2). 319–341. 5 indexed citations

Hayat, Khizar, et al.. (2021). New aggregation operators on group-based generalized intuitionistic fuzzy soft sets. Soft Computing. 25(21). 13353–13364. 35 indexed citations

Singh, Aman, et al.. (2021). Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education. Journal of Computing in Higher Education. 33(3). 551–579. 18 indexed citations

Andonovski, Goran, Edwin Lughofer, & Igor Škrjanc. (2021). Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes. IEEE Access. 9. 158470–158480. 12 indexed citations

Singh, Aman, et al.. (2021). Correction to: Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education. Journal of Computing in Higher Education. 33(3). 580–580. 1 indexed citations

Lughofer, Edwin & Moamar Sayed‐Mouchaweh. (2020). Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications. Springer eBooks. 31 indexed citations

Souza, Paulo Vitor de Campos & Edwin Lughofer. (2020). Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network. Sensors. 20(22). 6477–6477. 12 indexed citations

Nikzad‐Langerodi, Ramin, et al.. (2018). Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation. Analytica Chimica Acta. 1013. 1–12. 20 indexed citations

10.

Pratama, Mahardhika, Plamen Angelov, Jie Lü, et al.. (2017). A randomized neural network for data streams. Swinburne Research Bank (Swinburne University of Technology). 3423–3430. 5 indexed citations

11.

Lughofer, Edwin. (2015). Evolving fuzzy systems: Fundamentals, reliability, interpretability, useability and applications. 1. 11–11. 18 indexed citations

12.

Lughofer, Edwin, et al.. (2015). Drift detection in data stream classification without fully labelled instances. 1–8. 6 indexed citations

13.

Pichler, Kurt, et al.. (2013). Detecting broken reciprocating compressor valves in the pV diagram. 1625–1630. 16 indexed citations

14.

Lughofer, Edwin, et al.. (2013). Multivariate Fault Detection using Vector Autoregressive Moving Average and Orthogonal Transformation in Residual Space. Annual Conference of the PHM Society. 5(1). 2 indexed citations

15.

Cernuda, Carlos, et al.. (2012). Evolving chemometric models for predicting dynamic process parameters in viscose production. Analytica Chimica Acta. 725. 22–38. 13 indexed citations

16.

Lughofer, Edwin & Plamen Angelov. (2009). Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems ∗. Lancaster EPrints (Lancaster University). 931–937. 5 indexed citations

17.

Lughofer, Edwin & Stefan Kindermann. (2009). Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Contraints.. European Society for Fuzzy Logic and Technology Conference. 950–956. 2 indexed citations

18.

Lughofer, Edwin. (2008). Evolving Fuzzy Models. VDM Verlag Dr. Müller eBooks. 1 indexed citations

19.

Angelov, Plamen & Edwin Lughofer. (2008). A Comparative Study of two Approaches for Data-Driven Design of Evolving Fuzzy Systems: eTS and FLEXFIS. Lancaster EPrints (Lancaster University). 3 indexed citations

20.

Lughofer, Edwin, Eyke Hüllermeier, & Erich Peter Klement. (2005). Improving the Interpretability of Data-Driven Evolving Fuzzy-Systems. European Society for Fuzzy Logic and Technology Conference. 28–33. 18 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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