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:

Machine learning in sensor identification for industrial systems

DEUS: Distributed Electronic Patient File Update System

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

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

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

Friedrich-Alexander-Universität Erlangen-Nürnberg

Google Scholar

View Google Scholar Profile

Richard Lenz Skills & Research Interests

Data Management

Healthcare Information Systemes

Evolutionary Information Systems

Process Support

Top articles of Richard Lenz

Title

Journal

Author(s)

Publication Date

Machine learning in sensor identification for industrial systems

it-Information Technology

Lucas Weber

Richard Lenz

2023/8/27

DEUS: Distributed Electronic Patient File Update System

arXiv preprint arXiv:2311.14349

Christoph P Neumann

Florian Rampp

Richard Lenz

2023/11/24

METHODS AND APPLICATIONS OF INFORMATICS AND INFORMATION TECHNOLOGY

Stefan Conrad

Paul Molitor

Heinrich Arnold

Andreas Butz

Görschwin Fey

...

2022

Homological time series analysis of sensor signals from power plants

Luciano Melodia

Richard Lenz

2021/9/13

Erfahrungen mit kombinierten digitalen Lernhilfen bei Datenbank-Vorlesungen

Datenbank-Spektrum

Richard Lenz

David Haller

Dominik Probst

Andreas Wahl

2021/7

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

Luciano Melodia

Richard Lenz

2021

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

Richard Lenz

David Haller

Andreas Wahl

2020

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

Applied Clinical Informatics

Stefan Kraus

Dennis Toddenroth

Martin Staudigel

Wolfgang Rödle

Philipp Unberath

...

2020/3

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

Applied Clinical Informatics

Matthias Becker

Britta Böckmann

Karl-Heinz Jöckel

Martin Stuschke

Andreas Paul

...

2020/3

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

Mar Marcos

Jose M Juarez

Richard Lenz

Grzegorz J Nalepa

Slawomir Nowaczyk

...

2020/1/3

Discovery of Ontologies from Implicit User Knowledge.

David Haller

Richard Lenz

2020

Persistent homology as stopping-criterion for voronoi interpolation

Luciano Melodia

Richard Lenz

2020/7/8

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

Co-Authors

H-index: 80
Joachim Hornegger

Joachim Hornegger

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 80
Manfred Reichert

Manfred Reichert

Universität Ulm

H-index: 49
Wilhelm Hasselbring

Wilhelm Hasselbring

Christian-Albrechts-Universität zu Kiel

H-index: 47
Antoine Geissbuhler

Antoine Geissbuhler

Université de Genève

H-index: 41
Mor Peleg

Mor Peleg

University of Haifa

H-index: 31
Annette ten Teije

Annette ten Teije

Vrije Universiteit Amsterdam

academic-engine