H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 45 Citations 8,310 179 World Ranking 3562 National Ranking 1831

Research.com Recognitions

Awards & Achievements

2013 - Hellman Fellow

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Database
  • The Internet

His primary areas of study are Information retrieval, Semantic Web, Ontology, Linked data and World Wide Web. His studies deal with areas such as Annotation and Volunteered geographic information as well as Information retrieval. His Semantic Web study integrates concerns from other disciplines, such as Web intelligence and Mindset.

His study looks at the relationship between Ontology and fields such as Wireless sensor network, as well as how they intersect with chemical problems. His research integrates issues of Ontology engineering, Geospatial analysis, Data science and Big data in his study of Linked data. His Ontology-based data integration course of study focuses on Process ontology and Ontology Inference Layer, Upper ontology, Web Ontology Language and OWL-S.

His most cited work include:

  • Ontology paper: The SSN ontology of the W3C semantic sensor network incubator group (951 citations)
  • On the semantic annotation of places in location-based social networks (201 citations)
  • Extracting and understanding urban areas of interest using geotagged photos (155 citations)

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

His scientific interests lie mostly in Information retrieval, World Wide Web, Semantic Web, Data science and Linked data. His Information retrieval research includes themes of Semantics and Similarity. The Web standards, Web service and Semantic search research he does as part of his general World Wide Web study is frequently linked to other disciplines of science, such as Sensor web, therefore creating a link between diverse domains of science.

His research on Semantic Web focuses in particular on Social Semantic Web. The Data science study combines topics in areas such as Domain, Geographic information system and Big data. Krzysztof Janowicz combines subjects such as Metadata, SPARQL, RDF, Knowledge extraction and Cloud computing with his study of Linked data.

He most often published in these fields:

  • Information retrieval (31.20%)
  • World Wide Web (27.60%)
  • Semantic Web (24.40%)

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

  • Information retrieval (31.20%)
  • World Wide Web (27.60%)
  • Theoretical computer science (7.20%)

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

His main research concerns Information retrieval, World Wide Web, Theoretical computer science, Data science and Semantic Web. His research on Information retrieval frequently links to adjacent areas such as Geospatial analysis. His work on Web standards as part of general World Wide Web study is frequently linked to Open science, therefore connecting diverse disciplines of science.

His studies in Theoretical computer science integrate themes in fields like Embedding, Graph, Set and Knowledge graph. The Data science study combines topics in areas such as Categorization, Uniqueness, Conflation, Focus and Thematic map. His study in the field of Social Semantic Web and Semantic Web Stack is also linked to topics like Review process.

Between 2016 and 2021, his most popular works were:

  • Extracting urban functional regions from points of interest and human activities on location-based social networks (134 citations)
  • SOSA: A Lightweight Ontology for Sensors, Observations, Samples, and Actuators (94 citations)
  • Constructing gazetteers from volunteered Big Geo-Data based on Hadoop (81 citations)

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

  • Artificial intelligence
  • Database
  • Programming language

Krzysztof Janowicz spends much of his time researching Knowledge graph, Information retrieval, Ontology, World Wide Web and Wireless sensor network. His research investigates the connection between Knowledge graph and topics such as Search engine that intersect with problems in Embedding. Many of his studies on Information retrieval involve topics that are commonly interrelated, such as Similarity.

His Ontology study frequently draws parallels with other fields, such as Linked data. His World Wide Web study frequently intersects with other fields, such as Publishing. Krzysztof Janowicz combines subjects such as Ontology engineering, World Wide Web Consortium, Interoperability, Modular design and Web of Things with his study of Wireless sensor network.

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.

Best Publications

Ontology paper: The SSN ontology of the W3C semantic sensor network incubator group

Michael Compton;Payam Barnaghi;Luis Bermudez;RaúL GarcíA-Castro.
Journal of Web Semantics (2012)

1393 Citations

On the semantic annotation of places in location-based social networks

Mao Ye;Dong Shou;Wang-Chien Lee;Peifeng Yin.
knowledge discovery and data mining (2011)

273 Citations

Extracting and understanding urban areas of interest using geotagged photos

Yingjie Hu;Song Gao;Krzysztof Janowicz;Bailang Yu.
Computers, Environment and Urban Systems (2015)

234 Citations

Semantic Enablement for Spatial Data Infrastructures

Krzysztof Janowicz;Sven Schade;Arne Bröring;Carsten Keßler.
Transactions in Gis (2010)

200 Citations

Linked Data, Big Data, and the 4th Paradigm

Pascal Hitzler;Krzysztof Janowicz.
Social Work (2013)

200 Citations

The stimulus-sensor-observation ontology design pattern and its integration into the semantic sensor network ontology

Krzysztof Janowicz;Michael Compton.
SSN'10 Proceedings of the 3rd International Conference on Semantic Sensor Networks - Volume 668 (2010)

183 Citations

The semantics of similarity in geographic information retrieval

Krzysztof Janowicz;Martin Raubal;Werner Kuhn.
Journal of Spatial Information Science (2011)

162 Citations

Extracting urban functional regions from points of interest and human activities on location-based social networks

Song Gao;Krzysztof Janowicz;Helen Couclelis.
Transactions in Gis (2017)

161 Citations

The Semantic Web - ISWC 2013

Harith Alani;Lalana Kagal;Achille Fokoue;Paul Groth.
Lecture Notes in Computer Science (2013)

159 Citations

Constructing gazetteers from volunteered Big Geo-Data based on Hadoop

Song Gao;Linna Li;Wenwen Li;Krzysztof Janowicz.
Computers, Environment and Urban Systems (2017)

157 Citations

Editorial Boards

Semantic Web
(Impact Factor: 3.105)

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