H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 59 Citations 17,072 169 World Ranking 1615 National Ranking 61

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Software

His main research concerns Ontology, Information retrieval, World Wide Web, Ontology and Semantic Web. Alexander Maedche usually deals with Ontology and limits it to topics linked to Knowledge management and Conceptualization. His work deals with themes such as Artificial intelligence and Fuzzy clustering, which intersect with Information retrieval.

His Ontology research is multidisciplinary, relying on both Knowledge sharing and Knowledge engineering. As a part of the same scientific family, Alexander Maedche mostly works in the field of Semantic Web, focusing on Meta Data Services and, on occasion, RDF. His study in Ontology-based data integration is interdisciplinary in nature, drawing from both Upper ontology and Ontology Inference Layer.

His most cited work include:

  • Ontology Learning for the Semantic Web (1628 citations)
  • Measuring Similarity between Ontologies (696 citations)
  • FCA-MERGE: bottom-up merging of ontologies (552 citations)

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

His primary areas of study are Knowledge management, Ontology, World Wide Web, Process and Information retrieval. Ontology is closely attributed to Ontology in his research. His Process research is multidisciplinary, incorporating elements of Data science, Artificial intelligence and Process management.

Alexander Maedche studies Information retrieval, focusing on OWL-S in particular. Alexander Maedche works mostly in the field of Web standards, limiting it down to topics relating to Web modeling and, in certain cases, Web development. He has researched Social Semantic Web in several fields, including Web intelligence and Data Web.

He most often published in these fields:

  • Knowledge management (24.06%)
  • Ontology (18.12%)
  • World Wide Web (16.25%)

What were the highlights of his more recent work (between 2018-2021)?

  • Process (15.62%)
  • Design science research (8.44%)
  • Chatbot (4.38%)

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

His primary scientific interests are in Process, Design science research, Chatbot, Human–computer interaction and Artificial intelligence. His Process research incorporates themes from Domain, Ambidexterity, Software development and Process management. The various areas that he examines in his Design science research study include Engineering ethics, Key, Design knowledge and Data science.

His studies in Chatbot integrate themes in fields like Descriptive knowledge, Knowledge management, Social cue and Customer service. His Descriptive knowledge research integrates issues from Ontology, Focus group, Leverage and Representation. His Artificial intelligence research incorporates elements of Machine learning and Alpha.

Between 2018 and 2021, his most popular works were:

  • A Taxonomy of Social Cues for Conversational Agents (48 citations)
  • How effective is nudging? A quantitative review on the effect sizes and limits of empirical nudging studies (42 citations)
  • AI-Based Digital Assistants – Opportunities, Threats, and Research Perspectives (36 citations)

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

  • Artificial intelligence
  • The Internet
  • Software

Alexander Maedche mainly focuses on Design science research, Chatbot, Design knowledge, Human–computer interaction and Engineering ethics. His research in Design science research intersects with topics in Field, Systems engineering and Data science. Alexander Maedche has included themes like Ontology, Executable and Knowledge base in his Field study.

His Chatbot study combines topics in areas such as Descriptive knowledge, Social cue, Requirements engineering, Process and Laddering. The concepts of his Design knowledge study are interwoven with issues in Common ground, Interactivity and Management science. His study in Human–computer interaction is interdisciplinary in nature, drawing from both Functional design, Requirements elicitation and User requirements document.

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

Ontology Learning for the Semantic Web

A. Maedche;S. Staab.
(2002)

3038 Citations

Measuring Similarity between Ontologies

Alexander Maedche;Steffen Staab.
knowledge acquisition, modeling and management (2002)

1155 Citations

FCA-MERGE: bottom-up merging of ontologies

Gerd Stumme;Alexander Maedche.
international joint conference on artificial intelligence (2001)

1000 Citations

MAFRA - A MApping FRAmework for Distributed Ontologies

Alexander Maedche;Boris Motik;Nuno Silva;Nuno Silva;Raphael Volz.
knowledge acquisition, modeling and management (2002)

627 Citations

Discovering conceptual relations from text

Alexander Maedche;Steffen Staab.
european conference on artificial intelligence (2000)

555 Citations

User-Driven Ontology Evolution Management

Ljiljana Stojanovic;Alexander Maedche;Boris Motik;Nenad Stojanovic.
knowledge acquisition, modeling and management (2002)

540 Citations

Ontologies for enterprise knowledge management

A. Maedche;B. Motik;L. Stojanovic;R. Studer.
IEEE Intelligent Systems (2003)

477 Citations

Ontology-based Text Document Clustering.

Andreas Hotho;Alexander Maedche;Steffen Staab.
Künstliche Intell. (2002)

407 Citations

KAON - Towards a Large Scale Semantic Web

Erol Bozsak;Marc Ehrig;Siegfried Handschuh;Andreas Hotho.
electronic commerce and web technologies (2002)

387 Citations

Mining Ontologies from Text

Alexander Maedche;Steffen Staab.
knowledge acquisition modeling and management (2000)

334 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.

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Contact us

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