Data & Knowledge Engineering

42.3k citations
2.0k papers · · active since 1950

Impact in

Papers in

Data & Knowledge Engineering

1.8k papers receiving 38.2k citations

Peers

Data & Knowledge Engineering
Comparison fields: 5 of 222
  • Management Information Systems 7.9k
  • Information Systems 18.2k
  • Artificial Intelligence 22.5k
  • Signal Processing 7.3k
  • Computer Networks and Communications 11.1k
Replace Information Systems with:
Information Systems United States
International Journal of Human-Computer Studies United States
ACM Transactions on Information Systems China
IEEE Intelligent Systems United States
IEEE Internet Computing United States
Knowledge and Information Systems China
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans United States
The VLDB Journal United States
IBM Systems Journal United States
Artificial Intelligence Review China
Data & Knowledge Engineering relative to Information Systems United States Information Systems's profile →
Citations per field
00.5×1.5×
Information Systems · 1×
Citations per year

Countries where authors publish in Data & Knowledge Engineering

Since Specialization
Citations

This map shows the geographic impact of research published in Data & Knowledge Engineering. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Data & Knowledge Engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Data & Knowledge Engineering more than expected).

Fields of papers published in Data & Knowledge Engineering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Data & Knowledge Engineering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Data & Knowledge Engineering.

About Data & Knowledge Engineering

The 2.0k papers published in Data & Knowledge Engineering in the last decades have received a total of 42.3k indexed citations . Papers published in Data & Knowledge Engineering usually cover Signal Processing (571 papers), Computer Networks and Communications (872 papers), Artificial Intelligence (1.2k papers), Information Systems (734 papers) and Management Information Systems (231 papers) specifically the topics of Advanced Database Systems and Queries (674 papers), Semantic Web and Ontologies (599 papers), Data Management and Algorithms (528 papers), Service-Oriented Architecture and Web Services (308 papers), Business Process Modeling and Analysis (203 papers), Data Mining Algorithms and Applications (193 papers), Natural Language Processing Techniques (122 papers) and Topic Modeling (120 papers). The most active scholars publishing in Data & Knowledge Engineering are Rudi Studer, Dieter Fensel, V. Richard Benjamins, Alp Kut, Derya Birant, Wil M. P. van der Aalst, Veda C. Storey, Manfred Reichert, Lipika Dey and Daniel L. Moody.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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