H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 5,551 96 World Ranking 8110 National Ranking 136

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Database
  • Artificial intelligence

His scientific interests lie mostly in Data mining, Process modeling, Process mining, Business process discovery and Event. His Data mining research is multidisciplinary, incorporating elements of Process, Petri net and Process. His biological study spans a wide range of topics, including Business Process Model and Notation, Business process and Business process modeling.

His research in Business process modeling focuses on subjects like Business process management, which are connected to Business intelligence and Data science. Dirk Fahland integrates Business process discovery with Block in his research. His study explores the link between Event and topics such as Conformance checking that cross with problems in Resource and Control flow.

His most cited work include:

  • Process Mining Manifesto (684 citations)
  • Discovering block-structured process models from event logs - a constructive approach (288 citations)
  • Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (201 citations)

What are the main themes of his work throughout his whole career to date?

Dirk Fahland focuses on Process modeling, Process, Process mining, Data mining and Software engineering. Dirk Fahland has researched Process modeling in several fields, including Theoretical computer science, Business Process Model and Notation, Business process modeling, Artificial intelligence and Work in process. Dirk Fahland has included themes like Quality, Machine learning and Data science in his Process study.

His Process mining study combines topics in areas such as Event, Business process discovery and Petri net. Dirk Fahland interconnects Process and Concurrency in the investigation of issues within Data mining. He combines subjects such as Data exchange, Artifact and Systems engineering with his study of Software engineering.

He most often published in these fields:

  • Process modeling (37.98%)
  • Process (36.43%)
  • Process mining (32.56%)

What were the highlights of his more recent work (between 2017-2021)?

  • Process mining (32.56%)
  • Event (22.48%)
  • Process (36.43%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Process mining, Event, Process, Data mining and Petri net. Process mining is a subfield of Business process that Dirk Fahland explores. His Event research incorporates elements of Variety, Queue, Process and Distributed computing.

His research in Process intersects with topics in Bottleneck and Process management. His study on Data mining also encompasses disciplines like

  • Work in process and related Business process discovery,
  • Quality which connect with Model complexity. His Process modeling study integrates concerns from other disciplines, such as Machine learning and Artificial intelligence.

Between 2017 and 2021, his most popular works were:

  • Scalable process discovery and conformance checking (89 citations)
  • The imprecisions of precision measures in process mining (29 citations)
  • Describing Behavior of Processes with Many-to-Many Interactions (16 citations)

In his most recent research, the most cited papers focused on:

  • Programming language
  • Database
  • Artificial intelligence

Dirk Fahland mostly deals with Process mining, Data mining, Event, Process and Conformance checking. The subject of his Process mining research is within the realm of Business process management. Within one scientific family, Dirk Fahland focuses on topics pertaining to Work in process under Data mining, and may sometimes address concerns connected to Big data and Scalability.

Dirk Fahland focuses mostly in the field of Event, narrowing it down to topics relating to Process and, in certain cases, Batch processing and Consistency. His research in Process is mostly focused on Business process. His studies in Conformance checking integrate themes in fields like Security policy and Business process discovery.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Process Mining Manifesto

Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri.
business process management (2012)

1028 Citations

Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour

Sjj Sander Leemans;D Dirk Fahland;Wmp Wil van der Aalst.
business process management (2013)

363 Citations

Discovering block-structured process models from event logs - a constructive approach

Sander J. J. Leemans;Dirk Fahland;Wil M. P. van der Aalst.
applications and theory of petri nets (2013)

354 Citations

Declarative versus imperative process modeling languages : the issue of understandability

Dirk Fahland;Daniel Lübke;Jan Mendling;Hajo A. Reijers.
business process modeling development and support (2009)

201 Citations

Instantaneous Soundness Checking of Industrial Business Process Models

Dirk Fahland;Cédric Favre;Barbara Jobstmann;Jana Koehler.
business process management (2009)

173 Citations

Analysis on demand: Instantaneous soundness checking of industrial business process models

Dirk Fahland;Cédric Favre;Jana Koehler;Niels Lohmann.
data and knowledge engineering (2011)

164 Citations

Discovering Block-Structured Process Models from Incomplete Event Logs

Sjj Sander Leemans;D Dirk Fahland;Wmp Wil van der Aalst.
applications and theory of petri nets (2014)

149 Citations

Where did i misbehave? diagnostic information in compliance checking

Elham Ramezani;Dirk Fahland;Wil M. P. van der Aalst.
business process management (2012)

141 Citations

Model repair - aligning process models to reality

Dirk Fahland;Wil M.P. van der Aalst.
Information Systems (2015)

140 Citations

Scalable process discovery and conformance checking

Sander J. J. Leemans;Dirk Fahland;Wil M. P. van der Aalst.
Software and Systems Modeling (2018)

138 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Dirk Fahland

Wil M. P. van der Aalst

Wil M. P. van der Aalst

RWTH Aachen University

Publications: 224

Barbara Weber

Barbara Weber

University of St. Gallen

Publications: 73

Jan Mendling

Jan Mendling

Humboldt-Universität zu Berlin

Publications: 65

Hajo A. Reijers

Hajo A. Reijers

Utrecht University

Publications: 59

Manfred Reichert

Manfred Reichert

University of Ulm

Publications: 51

Mathias Weske

Mathias Weske

Hasso Plattner Institute

Publications: 50

Marcello La Rosa

Marcello La Rosa

University of Melbourne

Publications: 50

Matthias Weidlich

Matthias Weidlich

Humboldt-Universität zu Berlin

Publications: 45

Arthur H. M. ter Hofstede

Arthur H. M. ter Hofstede

Queensland University of Technology

Publications: 45

Stefanie Rinderle-Ma

Stefanie Rinderle-Ma

Technical University of Munich

Publications: 42

Marco Montali

Marco Montali

Free University of Bozen-Bolzano

Publications: 40

Marlon Dumas

Marlon Dumas

University of Tartu

Publications: 40

Fabrizio Maria Maggi

Fabrizio Maria Maggi

Free University of Bozen-Bolzano

Publications: 38

Avigdor Gal

Avigdor Gal

Technion – Israel Institute of Technology

Publications: 18

Wmp Wil van der Aalst

Wmp Wil van der Aalst

Eindhoven University of Technology

Publications: 17

Something went wrong. Please try again later.