Michael Berthold | Academic Influence

Michael Berthold's AcademicInfluence.com Rankings

Michael Berthold

Computer Science

#2017

World Rank

#2096

Historical Rank

Data Mining

#60

World Rank

#60

Historical Rank

Machine Learning

#613

World Rank

#620

Historical Rank

Database

#3763

World Rank

#3917

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Michael Berthold's Degrees

PhD Computer Science University of Konstanz

Similar Degrees You Can Earn

Best Online PhD of Computer Science (Doctorates) 2025

Why Is Michael Berthold Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Michael R. Berthold is a German computer scientist, entrepreneur, academic and author. He is a professor, and chair for bioinformatics and information mining at Konstanz University, and an honorary professor at Óbuda University. He is also the co-founder of KNIME, and is serving as a president and CEO of KNIME AG since 2017.

(See a Problem?)

Michael Berthold's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

KNIME: The Konstanz Information Miner (2007) (1356)
KNIME - the Konstanz information miner: version 2.0 and beyond (2009) (766)
Mining molecular fragments: finding relevant substructures of molecules (2002) (500)
Biological imaging software tools (2012) (473)
The coming of age of artificial intelligence in medicine (2009) (414)
Intelligent Data Analysis: An Introduction (2005) (335)
Constructive training of probabilistic neural networks (1998) (199)
Advances in Intelligent Data Analysis (2000) (187)
Intelligent Data Analysis (2000) (168)
Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data (2010) (164)
Boosting the Performance of RBF Networks with Dynamic Decay Adjustment (1994) (146)
KNIME-CDK: Workflow-driven cheminformatics (2013) (121)
KNIME for reproducible cross-domain analysis of life science data. (2017) (114)
OpenML: A Collaborative Science Platform (2013) (102)
Building precise classifiers with automatic rule extraction (1995) (95)
Mixed fuzzy rule formation (2003) (85)
From transient transcriptome responses to disturbed neurodevelopment: role of histone acetylation and methylation as epigenetic switch between reversible and irreversible drug effects (2014) (71)
Active learning for object classification: from exploration to exploitation (2009) (65)
Computational life sciences II (2005) (63)
MoSS: a program for molecular substructure mining (2005) (63)
Towards Creative Information Exploration Based on Koestler's Concept of Bisociation (2012) (62)
Visualizing fuzzy points in parallel coordinates (2003) (61)
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (1998) (59)
Bisociative Knowledge Discovery (2011) (58)
Constructing fuzzy graphs from examples (1999) (58)
KNIME for Open-Source Bioimage Analysis: A Tutorial. (2016) (57)
Intelligent Data Analysis (1999) (52)
On Clustering Time Series Using Euclidean Distance and Pearson Correlation (2016) (51)
Whither systems medicine? (2018) (50)
Advances in Intelligent Data Analysis V (2003) (46)
Advances in Intelligent Data Analysis Reasoning about Data (1997) (46)
Dynamic Load Balancing for the Distributed Mining of Molecular Structures (2006) (44)
Pure spreading activation is pointless (2009) (42)
Large scale mining of molecular fragments with wildcards (2004) (38)
Workflows for automated downstream data analysis and visualization in large-scale computational mass spectrometry (2015) (32)
Node Similarities from Spreading Activation (2010) (32)
"It makes sense": Using an Autoassociative Neural Network to explore typicality in computer mediated (1998) (30)
Post-transcriptional Boolean computation by combining aptazymes controlling mRNA translation initiation and tRNA activation. (2012) (30)
Fuzzy clustering in parallel universes (2005) (30)
Open standards and cloud computing: KDD-2009 panel report (2009) (29)
Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation" (2004) (28)
Grouping of histone deacetylase inhibitors and other toxicants disturbing neural crest migration by transcriptional profiling. (2015) (28)
Input features' impact on fuzzy decision processes (2000) (27)
Missing Values and Learning of Fuzzy Rules (1998) (27)
Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Proceedings of the 6th International Conference on Soft Methods in Probability and Statistics, SMPS 2012, Konstanz, Germany, October 4-6, 2012 (2013) (24)
From Information Networks to Bisociative Information Networks (2012) (24)
EVE: a framework for event detection (2013) (24)
Maximum-score diversity selection for early drug discovery (2010) (23)
Development of a neural rosette formation assay (RoFA) to identify neurodevelopmental toxicants and to characterize their transcriptome disturbances (2019) (23)
Supporting Creativity: Towards Associative Discovery of New Insights (2008) (22)
Interactive exploration of fuzzy clusters using neighborgrams (2003) (22)
A KNIME-Based Analysis of the Zebrafish Photomotor Response Clusters the Phenotypes of 14 Classes of Neuroactive Molecules (2016) (22)
The MARK-AGE phenotypic database: Structure and strategy (2015) (22)
Clustering on the Net: Applying an autoassociative neural network to computer-mediated discussions (2006) (22)
Advanced pruning strategies to speed up mining closed molecular fragments (2004) (21)
Diagnostic Findings in Stapes Revision Surgery-A Retrospective of 26 Years (2011) (21)
Parallel and Distributed Data Pipelining with KNIME (2007) (20)
Domain Bridging Associations Support Creativity (2010) (19)
From radial to rectangular basis functions : A new approach for rule learning from large datasets (1995) (19)
Connecting proteins with drug-like compounds: Open source drug discovery workflows with BindingDB and KNIME (2015) (18)
Mining Fragments with Fuzzy Chains in Molecular Databases (2004) (18)
Discriminative Power of Input Features in a Fuzzy Model (1999) (17)
Comprehensive PMML preprocessing in KNIME (2011) (17)
Integration of the ImageJ Ecosystem in KNIME Analytics Platform (2020) (17)
Application of fuzzy graphs for metamodeling (1998) (16)
Parallel data mining revisited: Better, not faster (2012) (16)
Diversity-Driven Widening (2013) (16)
(Missing) Concept Discovery in Heterogeneous Information Networks (2011) (15)
Rule Visualization based on Multi-Dimensional Scaling (2006) (15)
Distributed Mining of Molecular Fragments (2004) (15)
Adaptive Active Classification of Cell Assay Images (2006) (14)
Analysis of Simulation Models with Fuzzy Graph Based Metamodeling (1996) (14)
MARK-AGE data management: Cleaning, exploration and visualization of data (2015) (14)
Towards Visual Exploration of Topic Shifts (2007) (14)
Maximum-score diversity selection for early drug discovery (2010) (13)
Learning in parallel universes (2010) (13)
Widened KRIMP: Better Performance through Diverse Parallelism (2014) (13)
Discriminative Closed Fragment Mining and Perfect Extensions in MoFa (2004) (13)
High Performance Subgraph Mining in Molecular Compounds (2005) (13)
Towards Bisociative Knowledge Discovery (2012) (12)
Distance aware tag clouds (2010) (12)
Missing Values in Fuzzy Rule Induction (2005) (12)
Towards Discovery of Subgraph Bisociations (2012) (12)
Advances in Intelligent Data Analysis IX, 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010. Proceedings (2010) (12)
Decentralized Load Balancing for Highly Irregular Search Problems (2006) (11)
Neighborgram clustering. Interactive exploration of cluster neighborhoods (2002) (11)
Fuzzy Logic in KNIME - Modules for Approximate Reasoning - (2013) (11)
Tolerating missing values in a fuzzy environment (1997) (11)
The new iris data: modular data generators (2010) (11)
Corrigendum: Biological imaging software tools (2012) (10)
Automated workflows for modelling chemical fate, kinetics and toxicity (2017) (10)
Bisociative Discovery of Interesting Relations between Domains (2011) (10)
What Does It Take to be a Successful Data Scientist? (2019) (10)
Context-Aware Visual Exploration of Molecular Datab (2006) (10)
CET: A Tool for Creative Exploration of Graphs (2010) (9)
Molecular Fragment Mining for Drug Discovery (2005) (9)
Hybrid fragment mining with MoFa and FSG (2004) (9)
Intelligent Data Analysis, An Introduction, 2nd editon (2003) (9)
A RapidMiner extension for open machine learning (2013) (9)
Crossover operators for multiobjective k-subset selection (2009) (9)
Adaptive Fuzzy Clustering (2006) (8)
Fuzzy information granules in time series data (2002) (8)
Diversity-Driven Widening of Hierarchical Agglomerative Clustering (2015) (8)
On the Integration of Graph Exploration and Data Analysis: The Creative Exploration Toolkit (2012) (8)
A probabilistic extension for the DDA algorithm (1996) (8)
Integrated in silico modeling for the prediction of chronic toxicity (2013) (8)
Enriching Multivariate Temporal Patterns with Context Information to Support Classification (2013) (8)
Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval (2012) (7)
Mining of Cell Assay Images Using Active Semi-Supervised Clustering (2005) (7)
Pattern graphs: A knowledge-based tool for multivariate temporal pattern retrieval (2012) (7)
Proving properties of neural networks with graph transformations (1998) (7)
Formalizing neural networks using graph transformations (1997) (7)
Constructing Hierarchical Rule Systems (2003) (7)
Context-Aware Visual Exploration of Molecular Databases (2006) (6)
A Visual Analytics Framework for Feature and Classifier Engineering to obtain the academic degree Master of Science (2007) (6)
Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening (2017) (6)
Towards active segmentation of cell images (2011) (6)
The MARK-AGE extended database: data integration and pre-processing (2015) (6)
Integrated data analysis with KNIME (2012) (6)
Comparing Fuzzy Graphs (1998) (5)
Building fuzzy graphs from examples (1996) (5)
Showing the Equivalence of two Training Algorithms - Part II (1998) (5)
Unifying Change -- Towards a Framework for Detecting the Unexpected (2011) (5)
Simulation Data Analysis Using Fuzzy Graphs (1997) (5)
Widened Learning of Bayesian Network Classifiers (2016) (5)
Development of Computational Models for the Risk Assessment of Cosmetic Ingredients (2012) (5)
Interactive Exploration of Fuzzy Clusters (2007) (4)
Towards learning in parallel universes (2004) (4)
The demand for consistent web-based workflow editors (2013) (4)
Corrigendum: Biological imaging software tools (2012) (4)
Exploring Hierarchical Rule Systems in Parallel Coordinates (2005) (4)
Acceleration of Direct Model Optimization Methods by Function Approximation (1996) (4)
Evaluation and Deployment (2010) (4)
Computational Life Sciences II, Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006, Proceedings (2006) (4)
Advances in intelligent data analysis : third International Symposium, IDA-99, Amsterdam, The Netherlands, August 9 - 11, 1999; proceedings (1999) (4)
Towards context-aware similarity metrics (2005) (4)
Learning Fuzzy Models and Potential Outliers (2000) (4)
Intelligent Data Analysis: Reasoning About Data (1998) (4)
Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (2020) (4)
Active learning in parallel universes (2010) (3)
07181 Introduction -- Parallel Universes and Local Patterns (2007) (3)
An Adaptive Multi Objective Selection Strategy for Active Learning (2007) (3)
Workflow Tools for Managing Biological and Chemical Data (2012) (3)
Interactive exploration of fuzzy clusters using neighborgrams (2003) (3)
Project Understanding (2020) (3)
Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors (2018) (3)
Computational Life Sciences, First International Symposium, CompLife 2005, Konstanz, Germany, September 25-27, 2005, Proceedings (2005) (3)
Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification (2013) (3)
Adaptive prototype-based fuzzy classification (2008) (3)
A Hierarchical Distributed Approach for Mining Molecular Fragments (2006) (3)
Finding clusters in parallel universes (2001) (3)
Mining String Data under Similarity and Soft-Frequency Constraints: Application to Promoter Sequence Analysis (2009) (2)
Neural Network based Construction of Fuzzy Graphs (1995) (2)
Finding Patterns (2020) (2)
Integrative open-source software enables image analysis in biological sciences (2013) (2)
Parallel Universes and Local Patterns Dagstuhl Seminar (2007) (2)
Showing the equivalence of two training algorithms. I (1998) (2)
Fuzzy subgroup mining for gene associations (2004) (2)
Ensembles and PMML in KNIME (2013) (2)
Extraction of soft rules from RecBF networks (1995) (2)
Efficiently comparing fuzzy graphs (1998) (2)
Learning Precise Local Boundaries in Images from Human Tracings (2013) (2)
Interpreting Fuzzy Models: the Discriminative Power of Input Features (1999) (2)
Data Analysis in the Life Sciences - Sparking Ideas - (2005) (2)
Finding Discriminative Molecular Fragments (2003) (2)
Integrative Open-Source Software for Image Analysis in Biology (2012) (2)
In silico workflows for toxicity prediction implemented into KNIME (2013) (2)
Guided Incremental Construction of Belief Networks (2003) (2)
Automatic construction of fuzzy graphs for function approximation (1996) (2)
From transient transcriptome responses to disturbed neurodevelopment: role of histone acetylation and methylation as epigenetic switch between reversible and irreversible drug effects (2014) (2)
Formalizing Neural Networks (1998) (2)
Fuzzy Clustering in Parallel Universes with Noise Detection (2005) (2)
Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings (2020) (2)
Typicality in computer mediated discussions-an analysis with neural networks (1995) (2)
Fuzzy graph based metamodeling (1996) (1)
Corrigendum to: Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation" [Int. J. Approx. Reasoning 35 (2004) 195-202] (2008) (1)
Integrative Open-Source Software für die Bildanalyse in der Biologie (2012) (1)
Multi-Dimensional Scaling applied to Hierarchical Rule Systems (2009) (1)
Extracting Taxonomies from Bipartite Graphs (2015) (1)
Finding Explanations (2020) (1)
Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science (2007) (1)
Supervised Learning in Parallel Universes Using Neighborgrams (2011) (1)
Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time (2014) (1)
Discovery Science, 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings (2008) (1)
Efficient Mining of Discriminative Molecular Fragments (2005) (1)
Learned Feature Generation for Molecules (2018) (1)
Data Understanding (2020) (1)
Data Analysis with Rule Generating Learning Algorithms (1995) (1)
Towards Associative Information Access (2006) (1)
Editorial: Reasoning About Data (1998) (1)
2007 annual meeting of the North American Fuzzy Information Processing Society : [NAFIPS '07] ; San Diego, CA, 24 - 27 June 2007 / IEEE (2007) (1)
Looking over the rim: algorithms for cheminformatics from computer scientists (2014) (1)
From Patterns to Discoveries (2012) (1)
Proceedings of the 11th International Conference on Discovery Science (2008) (1)
Widened Learning of Index Tracking Portfolios (2019) (0)
07181 Abstracts Collection -- Parallel Universes and Local Patterns (2007) (0)
Subsampling conflicts to construct better fuzzy rules (2001) (0)
P05-07Development of integrated in silico models for toxicity prediction focussing on cosmetic ingredients (2013) (0)
Back Matter for Volume 940 (2008) (0)
A u th ors' E lec tron i c C op y PARALLEL AND DISTRIBUTED DATA PIPELINING WITH KNIME (2007) (0)
Shape-invariant fuzzy clustering of proteomics data (2002) (0)
Widening: using parallel resources to improve model quality (2021) (0)
Guest Editorial: "Advances in intelligent data analysis" (2004) (0)
Intelligent data analysis : an introduction ; with 50 tables (2007) (0)
1 Interactive exploration of fuzzy clusters (2006) (0)
Flexible and transparent computational workflows for the prediction of target organ toxicity (2013) (0)
Open Source Data Pipelining für Interaktive Datenexploration (2007) (0)
Learning and Rewriting in Fuzzy Rule Graphs (1999) (0)
Introduction to Parallel Universes and Local Patterns (2007) (0)
Preface to second edition (2003) (0)
Proceedings of the Second international conference on Computational Life Sciences (2005) (0)
Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM, LWA 2011, Magdeburg, 28.-30.September 2011 (2011) (0)
Parallel universes (2013) (0)
Data Preparation (2020) (0)
COSMOS : An International Cooperative Project Developing Computational Models for Repeated Dose Toxicity (2012) (0)
Fault-Tolerant Concept Detection in Information Networks (2014) (0)
On missing values and fuzzy rules (1996) (0)
Authors ’ Electronic Copy PARALLEL AND DISTRIBUTED DATA PIPELINING WITH KNIME (2002) (0)
Network Analysis : Overview Toivonen , Hannu (0)
Proceedings of the 9th international conference on Advances in Intelligent Data Analysis (2001) (0)
PDM 2006 Proceedings of the International Workshop on Parallel Data Mining in conjunction with ECML / PKDD 2006 (2006) (0)
Towards Data Science Design Patterns (2023) (0)
Explorative Data Analysis: from machine learning to discovery support systems (2009) (0)
Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis (1999) (0)
PDM 2006: Proceedings of the International Workshop on Data Mining (2006) (0)
Intelligent data analysis: an introduction; with 39 tables (1999) (0)
Automatic Taxonomy Extraction from Bipartite Graphs (2015) (0)
Practical Data Analysis: An Example (2010) (0)
Deployment and Model Management (2020) (0)
Advances in intelligent data analysis V : 5th International Sysmposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003 : proceedings (2003) (0)
Editorial [North American Fuzzy Information Processing Society Annual Conference NAFIPS ’2007] (2010) (0)
Learning reactive behaviour of a walking machine using RBF networks (1995) (0)
Enhancement of Fuzzy Possibilistic C-Means Algorithm using EM Algorithm (EMFPCM) (2017) (0)
Chapter 8 Fuzzy Logic (2013) (0)
Comprar COMPLIFE 2007 · The Third International Symposium on Computational Life Sciences | Feelders, Ad J. | 9780735404533 | Springer (2007) (0)
CompLife 2007 : 3rd International Symposium on Computational Life Science, Utrecht, The Netherlands, 4 - 5 October 2007 (2007) (0)
EVE: a framework for event detection (2012) (0)
Changing the Focus of the IDA Symposium (2010) (0)
Parallel Universes and Local Patterns, 01.05. - 04.05.2007 (2007) (0)
Intelligent Data Analysis (Dagstuhl Seminar 00331) (2021) (0)
Practical Data Science: An Example (2020) (0)
Proceedings of the 7th international conference on Intelligent data analysis (2007) (0)
Bioinformatic analysis of the MARK-AGE data set (2013) (0)
Editorial (2010) (0)
Finding Predictors (2020) (0)
Front Matter for Volume 940 (2008) (0)
Two Stage Fuzzy Models and Potential Outliers (1999) (0)
Detecting Events in Molecular Dynamics Simulations (2013) (0)
Principles of Modeling (2020) (0)
Development of a neural rosette formation assay (RoFA) to identify neurodevelopmental toxicants and to characterize their transcriptome disturbances (2019) (0)

This paper list is powered by the following services:

Other Resources About Michael Berthold

en.wikipedia.org

What Schools Are Affiliated With Michael Berthold?

Michael Berthold is affiliated with the following schools: