Bernhard Seeger

About Bernhard Seeger

Bernhard Seeger, With an exceptional h-index of 44 and a recent h-index of 19 (since 2020), a distinguished researcher at Philipps-Universität Marburg, specializes in the field of Database Systems, Event Processing, Query Processing, Indexing.

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

Nature 4.0: A networked sensor system for integrated biodiversity monitoring

On the Complexity of Computing Time Series Medians Under the Move-Split-Merge Metric

Fourth workshop on big (and small) data in science and humanities (BigDS 2023)

Geo engine: workflow-backed geo data portals

DNAContainer: An object-based storage architecture on DNA

Exact and heuristic approaches to speeding up the MSM time series distance computation

Database Systems

An Extension of DNAContainer with a Small Memory Footprint

Bernhard Seeger Information

University

Position

Professor of Computer Sciene

Citations(all)

18125

Citations(since 2020)

2616

Cited By

16429

hIndex(all)

44

hIndex(since 2020)

19

i10Index(all)

105

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Bernhard Seeger Skills & Research Interests

Database Systems

Event Processing

Query Processing

Indexing

Top articles of Bernhard Seeger

On the Complexity of Computing Time Series Medians Under the Move-Split-Merge Metric

2023

Fourth workshop on big (and small) data in science and humanities (BigDS 2023)

2023

Geo engine: workflow-backed geo data portals

2023

DNAContainer: An object-based storage architecture on DNA

2023

Bernhard Seeger
Bernhard Seeger

H-Index: 21

Exact and heuristic approaches to speeding up the MSM time series distance computation

2023

Christian Komusiewicz
Christian Komusiewicz

H-Index: 21

Bernhard Seeger
Bernhard Seeger

H-Index: 21

Database Systems

Computer science (Berlin. Print)

2009

An Extension of DNAContainer with a Small Memory Footprint

Datenbank-Spektrum

2023/11

Bernhard Seeger
Bernhard Seeger

H-Index: 21

Geo Engine: Workflow-driven geospatial portals for data science

Datenbank-Spektrum

2023/11

SIGNed explanations: Unveiling relevant features by reducing bias

Information Fusion

2023/11/1

Bernhard Seeger
Bernhard Seeger

H-Index: 21

On the Design and Implementation of Easy Access to External Spatiotemporal Datasets in NFDI

Proceedings of the Conference on Research Data Infrastructure

2023/9/7

Towards a Research Data Commons in the German National Research Data Infrastructure NFDI: Vision, Governance, Architecture

Proceedings of the Conference on Research Data Infrastructure

2023/9/7

Bernhard Seeger
Bernhard Seeger

H-Index: 21

York Sure-Vetter
York Sure-Vetter

H-Index: 22

When Data Crosses Borders–Join Forces! Multidisciplinary Use Cases Within NFDI

Proceedings of the Conference on Research Data Infrastructure

2023/9/7

Bernhard Seeger
Bernhard Seeger

H-Index: 21

Content-based filter queries on DNA data storage systems

Scientific Reports

2023/4/29

Bernhard Seeger
Bernhard Seeger

H-Index: 21

On computing exact means of time series using the move-split-merge metric

Data Mining and Knowledge Discovery

2023/3

Christian Komusiewicz
Christian Komusiewicz

H-Index: 21

Bernhard Seeger
Bernhard Seeger

H-Index: 21

Five guiding principles to make jupyter notebooks fit for earth observation data education

Remote Sensing

2022/7/12

Bernhard Seeger
Bernhard Seeger

H-Index: 21

iGPU-Accelerated Pattern Matching on Event Streams

2022/6/12

Michael Körber
Michael Körber

H-Index: 4

Bernhard Seeger
Bernhard Seeger

H-Index: 21

Robust Shipping Date Predictions in Manufacturing using High-level Petri Nets

International Journal of Modelling and Simulation

2022/5/4

Bernhard Seeger
Bernhard Seeger

H-Index: 21

High-scale random access on DNA storage systems

NAR genomics and bioinformatics

2022/3/1

Transactional and analytical data management on persistent memory

2022

See List of Professors in Bernhard Seeger University(Philipps-Universität Marburg)