Data & Knowledge Engineering

53.9k citations
2.0k papers · · active since 1950

Impact in

Papers in

Data & Knowledge Engineering

1.9k papers receiving 49.0k citations

Peers

Data & Knowledge Engineering
Comparison fields: 5 of 224
  • Management Information Systems 11.2k
  • Information Systems 23.8k
  • Artificial Intelligence 29.5k
  • Signal Processing 9.4k
  • Computer Networks and Communications 14.9k
Replace Information Systems with:
Information Systems United States
IEEE Intelligent Systems United States
ACM Transactions on Information Systems China
IEEE Internet Computing United States
IBM Systems Journal United States
Knowledge and Information Systems China
The VLDB Journal United States
International Journal of Human-Computer Studies United States
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 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 53.9k indexed citations . Papers published in Data & Knowledge Engineering usually cover Signal Processing (574 papers), Computer Networks and Communications (880 papers), Artificial Intelligence (1.2k papers), Information Systems (737 papers) and Management Information Systems (235 papers) specifically the topics of Advanced Database Systems and Queries (677 papers), Semantic Web and Ontologies (605 papers), Data Management and Algorithms (531 papers), Service-Oriented Architecture and Web Services (310 papers), Business Process Modeling and Analysis (205 papers), Data Mining Algorithms and Applications (193 papers), Natural Language Processing Techniques (123 papers) and Topic Modeling (121 papers). The most active scholars publishing in Data & Knowledge Engineering are Rudi Studer, Dieter Fensel, V. Richard Benjamins, Wil M. P. van der Aalst, Derya Birant, Alp Kut, Manfred Reichert, Veda C. Storey, Nicola Guarino 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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