Richard Lenz

About Richard Lenz

Richard Lenz, With an exceptional h-index of 23 and a recent h-index of 9 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Data Management, Healthcare Information Systemes, Evolutionary Information Systems, Process Support.

His recent articles reflect a diverse array of research interests and contributions to the field:

DEUS: Distributed Electronic Patient File Update System

Machine learning in sensor identification for industrial systems

METHODS AND APPLICATIONS OF INFORMATICS AND INFORMATION TECHNOLOGY

Homological time series analysis of sensor signals from power plants

Erfahrungen mit kombinierten digitalen Lernhilfen bei Datenbank-Vorlesungen

Estimate of the neural network dimension using algebraic topology and lie theory

Persistent homology as stopping-criterion for voronoi interpolation

Mapping the Entire Record—An Alternative Approach to Data Access from Medical Logic Modules

Richard Lenz Information

University

Position

Professor for Computer Science

Citations(all)

2730

Citations(since 2020)

455

Cited By

2247

hIndex(all)

23

hIndex(since 2020)

9

i10Index(all)

46

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Richard Lenz Skills & Research Interests

Data Management

Healthcare Information Systemes

Evolutionary Information Systems

Process Support

Top articles of Richard Lenz

DEUS: Distributed Electronic Patient File Update System

arXiv preprint arXiv:2311.14349

2023/11/24

Richard Lenz
Richard Lenz

H-Index: 9

Machine learning in sensor identification for industrial systems

it-Information Technology

2023/8/27

Lucas Weber
Lucas Weber

H-Index: 0

Richard Lenz
Richard Lenz

H-Index: 9

METHODS AND APPLICATIONS OF INFORMATICS AND INFORMATION TECHNOLOGY

2022

Homological time series analysis of sensor signals from power plants

2021/9/13

Richard Lenz
Richard Lenz

H-Index: 9

Erfahrungen mit kombinierten digitalen Lernhilfen bei Datenbank-Vorlesungen

Datenbank-Spektrum

2021/7

Richard Lenz
Richard Lenz

H-Index: 9

David Haller
David Haller

H-Index: 1

Estimate of the neural network dimension using algebraic topology and lie theory

2021

Richard Lenz
Richard Lenz

H-Index: 9

Persistent homology as stopping-criterion for voronoi interpolation

2020/7/8

Richard Lenz
Richard Lenz

H-Index: 9

Mapping the Entire Record—An Alternative Approach to Data Access from Medical Logic Modules

Applied Clinical Informatics

2020/3

Mapping patient data to colorectal cancer clinical algorithms for personalized guideline-based treatment

Applied Clinical Informatics

2020/3

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems: AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan …

2020/1/3

Discovery of Ontologies from Implicit User Knowledge.

2020

David Haller
David Haller

H-Index: 1

Richard Lenz
Richard Lenz

H-Index: 9

Maßnahmen zur Verbesserung der Effektivität von Blended Learning bei Datenbank-Vorlesungen

2020

Richard Lenz
Richard Lenz

H-Index: 9

David Haller
David Haller

H-Index: 1

See List of Professors in Richard Lenz University(Friedrich-Alexander-Universität Erlangen-Nürnberg)

Co-Authors

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