Frank Scherbaum

About Frank Scherbaum

Frank Scherbaum, With an exceptional h-index of 61 and a recent h-index of 32 (since 2020), a distinguished researcher at Universität Potsdam, specializes in the field of Seismology, Seismic Hazard Analysis, Signal Processing, Computational Ethnomusicology, Georgian Traditional Music.

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

Assessing the effects of long-term landscape evolution on the overburden of deep repository sites: application to northern Switzerland

A Dataset of Larynx Microphone Recordings for Singing Voice Reconstruction

From Intonation Adjustments to Synchronization of Heart Rate Variability: Singer Interaction in Traditional Georgian Vocal Music

Predicting time-histories using machine learning and hybrid-datasets (simulations and observations)

Ocean bottom seismometer (OBS) noise reduction from horizontal and vertical components using harmonic–percussive separation algorithms

TFCGAN: Nonstationary Ground‐Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods

Sichere Entsorgung und Tiefenlagerung von hochradioaktivem Material-Forschungsperspektiven

Prediction of Near-Field Time-Histories Using Machine Learning and a Hybrid Dataset (Calibrated Physics-Based Ground-Motion Simulations and Observations)

Frank Scherbaum Information

University

Position

___

Citations(all)

12681

Citations(since 2020)

4420

Cited By

10051

hIndex(all)

61

hIndex(since 2020)

32

i10Index(all)

141

i10Index(since 2020)

88

Email

University Profile Page

Google Scholar

Frank Scherbaum Skills & Research Interests

Seismology

Seismic Hazard Analysis

Signal Processing

Computational Ethnomusicology

Georgian Traditional Music

Top articles of Frank Scherbaum

Assessing the effects of long-term landscape evolution on the overburden of deep repository sites: application to northern Switzerland

2024/3/7

A Dataset of Larynx Microphone Recordings for Singing Voice Reconstruction

2024/2/23

From Intonation Adjustments to Synchronization of Heart Rate Variability: Singer Interaction in Traditional Georgian Vocal Music

Musicologist

2023/12/1

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Predicting time-histories using machine learning and hybrid-datasets (simulations and observations)

2023/7/11

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Matthias Ohrnberger
Matthias Ohrnberger

H-Index: 28

Ocean bottom seismometer (OBS) noise reduction from horizontal and vertical components using harmonic–percussive separation algorithms

Solid earth

2023/3/1

TFCGAN: Nonstationary Ground‐Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods

Bulletin of the Seismological Society of America

2023/2/1

Matthias Ohrnberger
Matthias Ohrnberger

H-Index: 28

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Sichere Entsorgung und Tiefenlagerung von hochradioaktivem Material-Forschungsperspektiven

2023

Prediction of Near-Field Time-Histories Using Machine Learning and a Hybrid Dataset (Calibrated Physics-Based Ground-Motion Simulations and Observations)

2023

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Matthias Ohrnberger
Matthias Ohrnberger

H-Index: 28

Computer-assisted analysis of field recordings: A case study of Georgian funeral songs

ACM Journal on Computing and Cultural Heritage

2022/12/24

Sebastian Rosenzweig
Sebastian Rosenzweig

H-Index: 5

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Deep Clustering of Tremor Episodes Can Reveal Different Eruptive Periods during the 2021 Fagradalsfjall Eruption, Iceland

AGU Fall Meeting Abstracts

2022/12

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Tuning systems of traditional georgian singing determined from a new corpus of field recordings

Musicologist

2022/12/1

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Sebastian Rosenzweig
Sebastian Rosenzweig

H-Index: 5

OBS noise reduction from horizontal and vertical components using harmonic-percussive separation algorithms

EGUsphere

2022/10/4

OBS noise reduction using music information retrieval algorithms

EGU General Assembly Conference Abstracts

2022/5

Svan funeral dirges (Zär): Cultural context

Musicologist

2021/12/1

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Volcanic tremor extraction and earthquake detection using music information retrieval algorithms

Seismological Research Letters

2021/11/1

Matthias Ohrnberger
Matthias Ohrnberger

H-Index: 28

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Reliability assessment of singing voice F0-estimates using multiple algorithms

2021/6/6

Sebastian Rosenzweig
Sebastian Rosenzweig

H-Index: 5

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Svan funeral dirges (Zär): Language-music relation and phonetic properties

Musicologist

2021/6/1

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Exploring the dimensionality of ground‐motion data by applying autoencoder techniques

Bulletin of the Seismological Society of America

2021/6/1

Matthias Ohrnberger
Matthias Ohrnberger

H-Index: 28

Frank Scherbaum
Frank Scherbaum

H-Index: 35

An efficient physic-based event detection algorithm inspired by music information retrieval

EGU General Assembly Conference Abstracts

2021/4

Frank Scherbaum
Frank Scherbaum

H-Index: 35

Matthias Ohrnberger
Matthias Ohrnberger

H-Index: 28

Investigation of the pre-eruptive processes of the 2014/15 Holuhraun eruption based on extracted volcanic tremor signals

EGU General Assembly Conference Abstracts

2021/4

Matthias Ohrnberger
Matthias Ohrnberger

H-Index: 28

Frank Scherbaum
Frank Scherbaum

H-Index: 35

See List of Professors in Frank Scherbaum University(Universität Potsdam)

Co-Authors

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