Meike Klettke

Meike Klettke

Universität Rostock

H-index: 20

Europe-Germany

About Meike Klettke

Meike Klettke, With an exceptional h-index of 20 and a recent h-index of 12 (since 2020), a distinguished researcher at Universität Rostock, specializes in the field of Data Engineering, Schema Evolution, Database Technology, Information Integration, NoSQL databases.

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

Evolution in Datenbanken und Data Engineering Workflows

A Generic Schema Evolution Approach for NoSQL and Relational Databases

Influence Factors on Academic Integrity revealed by Machine Learning Methods

EpiDoc Data Matching for Federated Information Retrieval in the Humanities

Tagger: A Tool for the Discovery of Tagged Unions in JSON Schema Extraction

Extracting JSON Schemas with tagged unions

FAIR is not enough--A Metrics Framework to ensure Data Quality through Data Preparation

Provenance for Lattice QCD workflows

Meike Klettke Information

University

Position

___

Citations(all)

1498

Citations(since 2020)

555

Cited By

1134

hIndex(all)

20

hIndex(since 2020)

12

i10Index(all)

35

i10Index(since 2020)

14

Email

University Profile Page

Universität Rostock

Google Scholar

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Meike Klettke Skills & Research Interests

Data Engineering

Schema Evolution

Database Technology

Information Integration

NoSQL databases

Top articles of Meike Klettke

Title

Journal

Author(s)

Publication Date

Evolution in Datenbanken und Data Engineering Workflows

Meike Klettke

2024/3/21

A Generic Schema Evolution Approach for NoSQL and Relational Databases

IEEE Transactions on Knowledge and Data Engineering

Alberto Hernández Chillón

Meike Klettke

Diego Sevilla Ruiz

Jesús García Molina

2024/2/5

Influence Factors on Academic Integrity revealed by Machine Learning Methods

Jennifer Landes

Sonja Köppl

Meike Klettke

2023

EpiDoc Data Matching for Federated Information Retrieval in the Humanities

Sylvia Melzer

Meike Klettke

Franziska Weise

Kaja Harter-Uibopuu

Ralf Möller

2023/9/17

Tagger: A Tool for the Discovery of Tagged Unions in JSON Schema Extraction

coordinates

Stefan Klessinger

Michael Fruth

Valentin Gittinger

Meike Klettke

Uta Störl

...

2023

Extracting JSON Schemas with tagged unions

arXiv preprint arXiv:2306.07085

Stefan Klessinger

Meike Klettke

Uta Störl

Stefanie Scherzinger

2023/6/12

FAIR is not enough--A Metrics Framework to ensure Data Quality through Data Preparation

Valerie Restat

Meike Klettke

Uta Störl

2023

Provenance for Lattice QCD workflows

Tanja Auge

Gunnar Bali

Meike Klettke

Bertram Ludäscher

Wolfgang Söldner

...

2023/4/30

A language for graph database evolution and its implementation in Neo4j

Dominique Hausler

Meike Klettke

Uta Störl

2023

Heterogeneity in NoSQL Databases—Challenges of Handling schema-less Data

Mark Lukas Möller

Dominique Hausler

Sebastian Strasser

Tanja Auge

Meike Klettke

2023

Self-adapting data migration in the context of schema evolution in NoSQL databases

Distributed and Parallel Databases

Andrea Hillenbrand

Uta Störl

Shamil Nabiyev

Meike Klettke

2022/3

Towards a Holistic Data Preparation Tool.

Valerie Restat

Meike Klettke

Uta Störl

2022

Darwin: A Data Platform for NoSQL Schema Evolution Management and Data Migration

Uta Störl

Meike Klettke

2022

Metamodels to support database migration between heterogeneous data stores

André Conrad

Philipp Utzmann

Meike Klettke

Uta Störl

2022/10/23

Similarity-driven Schema Transformation for Test Data Generation.

Fabian Panse

Meike Klettke

Johannes Schildgen

Wolfram Wingerath

2022

A Taxonomy of Schema Changes for NoSQL Databases

arXiv preprint arXiv:2205.11660

Alberto Hernández Chillón

Meike Klettke

Diego Sevilla Ruiz

Jesús García Molina

2022/5/23

EvoBench: Benchmarking Schema Evolution in NoSQL

André Conrad

Mark Lukas Möller

Tobias Kreiter

Jan-Christopher Mair

Meike Klettke

...

2022

Four generations in data engineering for data science: The past, presence and future of a field of science

Datenbank-Spektrum

Meike Klettke

Uta Störl

2022/3

Kurz erklärt: Measuring Data Changes in Data Engineering and their Impact on Explainability and Algorithm Fairness

Datenbank-Spektrum

Meike Klettke

Adrian Lutsch

Uta Störl

2021/11

An Empirical Study of Open Data JSON Files.

Mark Lukas Möller

Nic Scharlau

Meike Klettke

2021

See List of Professors in Meike Klettke University(Universität Rostock)

Co-Authors

H-index: 98
Steffen Staab

Steffen Staab

Universität Stuttgart

H-index: 75
Alexander Maedche

Alexander Maedche

Karlsruher Institut für Technologie

H-index: 72
Rudi Studer

Rudi Studer

Karlsruher Institut für Technologie

H-index: 51
Thomas Seidl

Thomas Seidl

Ludwig-Maximilians-Universität München

H-index: 42
Hans Uszkoreit

Hans Uszkoreit

Universität des Saarlandes

H-index: 39
Bernhard Thalheim

Bernhard Thalheim

Christian-Albrechts-Universität zu Kiel

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