H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 54 Citations 14,935 191 World Ranking 2355 National Ranking 104

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Machine learning

Information retrieval, World Wide Web, Semantic Web, Cluster analysis and Folksonomy are his primary areas of study. Andreas Hotho regularly ties together related areas like Artificial intelligence in his Information retrieval studies. World Wide Web is closely attributed to Library science in his work.

Andreas Hotho is interested in Social Semantic Web, which is a branch of Semantic Web. His research investigates the connection between Cluster analysis and topics such as Natural language processing that intersect with problems in Machine learning, Boosting and Supervised learning. His Folksonomy study combines topics in areas such as Semantics, Semantic similarity, Knowledge extraction and Knowledge representation and reasoning.

His most cited work include:

  • Information retrieval in folksonomies: search and ranking (812 citations)
  • A Brief Survey of Text Mining. (530 citations)
  • Tag Recommendations in Folksonomies (478 citations)

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

Andreas Hotho spends much of his time researching World Wide Web, Information retrieval, Artificial intelligence, Semantic Web and Folksonomy. All of his World Wide Web and Web mining, Social Semantic Web, Recommender system, Bookmarking and Data Web investigations are sub-components of the entire World Wide Web study. His study in the fields of Semantic similarity under the domain of Information retrieval overlaps with other disciplines such as Process.

His study focuses on the intersection of Artificial intelligence and fields such as Machine learning with connections in the field of Bayesian probability. The study of Semantic Web is intertwined with the study of The Internet in a number of ways. His Folksonomy research incorporates elements of Vocabulary and Knowledge representation and reasoning.

He most often published in these fields:

  • World Wide Web (36.56%)
  • Information retrieval (27.24%)
  • Artificial intelligence (21.15%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (21.15%)
  • Machine learning (9.32%)
  • Natural language processing (8.96%)

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

His primary areas of study are Artificial intelligence, Machine learning, Natural language processing, Pattern recognition and Context. The various areas that he examines in his Artificial intelligence study include Set and Task. His Machine learning research is multidisciplinary, incorporating perspectives in Bayesian probability and Web navigation.

His Natural language processing study which covers Domain that intersects with Natural language, German literature, Data stream mining and False positive paradox. His study explores the link between Semantic similarity and topics such as Semantic Web that cross with problems in Leverage. His work on Recommender system as part of his general World Wide Web study is frequently connected to Work, thereby bridging the divide between different branches of science.

Between 2016 and 2021, his most popular works were:

  • A Survey of Network-based Intrusion Detection Data Sets (94 citations)
  • Flow-based network traffic generation using Generative Adversarial Networks (28 citations)
  • IP2Vec: Learning Similarities Between IP Addresses (26 citations)

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

  • Artificial intelligence
  • The Internet
  • Machine learning

His main research concerns Artificial intelligence, Machine learning, Data set, Network packet and Intrusion detection system. Many of his research projects under Artificial intelligence are closely connected to Air pollution with Air pollution, tying the diverse disciplines of science together. His research integrates issues of Baseline and Task in his study of Machine learning.

The concepts of his Data set study are interwoven with issues in The Internet and Convolutional neural network. His work carried out in the field of Network packet brings together such families of science as Cover, Cluster analysis, Information retrieval, Visualization and Botnet. His work deals with themes such as Domain knowledge and Categorical variable, which intersect with Intrusion detection system.

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

Information retrieval in folksonomies: search and ranking

Andreas Hotho;Robert Jaschke;Christoph Schmitz;Gerd Stumme.
european semantic web conference (2006)

1311 Citations

A Brief Survey of Text Mining.

Andreas Hotho;Andreas Nürnberger;Gerhard Paass.
Ldv Forum (2005)

1198 Citations

Ontologies improve text document clustering

A. Hotho;S. Staab;G. Stumme.
international conference on data mining (2003)

797 Citations

Learning concept hierarchies from text corpora using formal concept analysis

Philipp Cimiano;Andreas Hotho;Steffen Staab.
Journal of Artificial Intelligence Research (2005)

758 Citations

Tag Recommendations in Folksonomies

Robert Jäschke;Leandro Marinho;Andreas Hotho;Lars Schmidt-Thieme.
european conference on principles of data mining and knowledge discovery (2007)

725 Citations

Towards Semantic Web Mining

Bettina Berendt;Andreas Hotho;Gerd Stumme.
international semantic web conference (2002)

408 Citations

Ontology-based Text Document Clustering.

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

407 Citations

WordNet improves text document clustering

Andreas Hotho;Steffen Staab;Gerd Stumme.
international acm sigir conference on research and development in information retrieval (2003)

401 Citations

Evaluating similarity measures for emergent semantics of social tagging

Benjamin Markines;Ciro Cattuto;Filippo Menczer;Dominik Benz.
the web conference (2009)

392 Citations

KAON - Towards a Large Scale Semantic Web

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

387 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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