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Andreas Schörgenhumer

About Andreas Schörgenhumer

Andreas Schörgenhumer, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Johannes Kepler Universität Linz,

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

An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring

Data Analysis and Error Analytics in Large-Scale Heterogeneous Software Systems/submitted by Dipl.-Ing. Andreas Schörgenhuber, BSc

Evaluating an interactive memory analysis tool: Findings from a cognitive walkthrough and a user study

Selecting time series clustering methods based on run-time costs

Andreas Schörgenhumer Information

University

Position

___

Citations(all)

72

Citations(since 2020)

61

Cited By

38

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Top articles of Andreas Schörgenhumer

Title

Journal

Author(s)

Publication Date

An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring

Andreas Schörgenhumer

Thomas Natschläger

Paul Grünbacher

Mario Kahlhofer

Peter Chalupar

...

2021/9/1

Data Analysis and Error Analytics in Large-Scale Heterogeneous Software Systems/submitted by Dipl.-Ing. Andreas Schörgenhuber, BSc

Andreas Schörgenhumer

2021

Evaluating an interactive memory analysis tool: Findings from a cognitive walkthrough and a user study

Proceedings of the ACM on Human-Computer Interaction

Markus Weninger

Paul Grünbacher

Elias Gander

Andreas Schörgenhumer

2020/6/18

Selecting time series clustering methods based on run-time costs

Andreas Schörgenhumer

Paul Grünbacher

Hanspeter Mössenböck

2020

See List of Professors in Andreas Schörgenhumer University(Johannes Kepler Universität Linz)