Data & Knowledge Engineering

54.2k citations
2k papers · · active since 1985

Impact in

Papers in

Data & Knowledge Engineering

1.9k papers receiving 50k citations

Peers

Data & Knowledge Engineering
Comparison fields: 5 of 212
  • Management Information Systems 8.8k
  • Software 3.2k
  • Artificial Intelligence 19.5k
  • Information Systems 11.6k
  • Computer Networks and Communications 7.7k
Replace Information Systems with:
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ACM SIGMOD Record United States
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The VLDB Journal United States
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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 2k papers published in Data & Knowledge Engineering in the last decades have received a total of 54.2k indexed citations . Papers published in Data & Knowledge Engineering usually cover Software (151 papers), Computer Networks and Communications (594 papers), Artificial Intelligence (815 papers), Signal Processing (137 papers) and Management Information Systems (173 papers) specifically the topics of Advanced Database Systems and Queries (544 papers), Semantic Web and Ontologies (310 papers), Model-Driven Software Engineering Techniques (143 papers), Data Management and Algorithms (125 papers), Business Process Modeling and Analysis (119 papers), Data Mining Algorithms and Applications (113 papers), Logic, Reasoning, and Knowledge (105 papers) and Natural Language Processing Techniques (84 papers). The most active scholars publishing in Data & Knowledge Engineering are Rudi Studer A, Dieter Fensel, V. Richard Benjamins, Wil M. P. van der Aalst, Recep Alp Kut, Derya Birant, Manfred Reichert, Veda C. Storey, Daniel L. Moody and Nicola Guarino.

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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