Martin Koehler - Concepedia

Author

Martin Koehler

University of Manchester ORCID

Also Known As

M. Koehler, Martin Koehler

Publications

352

Citations

H-Index

Concepts

All Affiliations

University of Manchester University of Vienna University of Edinburgh TU Wien University of Oxford

About

Martin Koehler is an author at University of Manchester specializing in data science, engineering, and data management.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	135
2	Data Science	7	7	135
3	Computer Science	5	5	110
4	Management	4	4	95
5	Chemistry	1	1	14

Martin Koehler

Publications

219

Citations

H-Index

Page 1

	Year	Citations
The VADA Architecture for Cost-Effective Data Wrangling Martin Koehler, E. W. Abel, Cristina Civili, Cluster ComputingEngineeringBusiness IntelligenceComputer ArchitectureProperty Sales	2017	45
Data Preparation: A Technological Perspective and Review Alvaro A. A. Fernandes, Martin Koehler, Pavel Pankin, SN Computer Science	2023	25
Design of an Adaptive Framework for Utility-Based Optimization of Scientific Applications in the Cloud Martin Koehler, Siegfried Benkner	2012	20
User driven multi-criteria source selection E. W. Abel, John Keane, Norman W. Paton, Information Sciences	2017	20
Data context informed data wrangling Martin Koehler, Alex Bogatu, Cristina Civili, EngineeringBusiness IntelligenceData WarehouseData PreparationSoftware Engineering	2017	20
Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling Martin Koehler, E. W. Abel, Alex Bogatu, IEEE Transactions on Big Data EngineeringBusiness IntelligenceSemantic WebReal Estate DataData Science	2019	19
VADA: an architecture for end user informed data preparation E. W. Abel, Luigi Bellomarini, Alex Bogatu, Journal Of Big Data	2019	19
A grid services cloud for molecular modelling workflows Martin Koehler, Matthias Ruckenbauer, Ivan Janciak, International Journal of Web and Grid Services Cluster ComputingEngineeringChemistryHigh Performance ComputingData Science	2010	14
An Adaptive Framework for the Execution of Data-Intensive MapReduce Applications in the Cloud Martin Koehler, Yuriy Kaniovskyi, Siegfried Benkner Cluster ComputingEngineeringComputer ArchitectureData GridMap-reduce	2011	14
An adaptive framework for utility-based optimization of scientific applications in the cloud Martin Koehler Journal of Cloud Computing Advances Systems and Applications Large-scale Global OptimizationCluster ComputingProvisioning (Technology)EngineeringCloud Computing Architecture	2014	12

Page 1