Lecture notes in business information processing

70.6k citations
9.5k papers · · active since 2005

Impact in

    • Business Process Modeling and Analysis
    • Information Technology Governance and Strategy
    • Software Engineering Techniques and Practices
    • Blockchain Technology Applications and Security
    • Recommender Systems and Techniques

Papers in

    • Business Process Modeling and Analysis 2.1k
    • Information Technology Governance and Strategy 340
    • Big Data and Business Intelligence 128
    • Software Engineering Techniques and Practices 721
    • Blockchain Technology Applications and Security 167
    • Service-Oriented Architecture and Web Services 133

Lecture notes in business information processing

6.8k papers receiving 57.1k citations

Peers

Lecture notes in business information processing
Comparison fields: 5 of 168
  • Management Information Systems 21.9k
  • Information Systems 12.8k
  • Software 1.9k
  • Industrial and Manufacturing Engineering 2.0k
  • Computer Science Applications 663
Replace Information Systems with:
Information Systems United States
IFIP advances in information and communication technology Germany
Information and Software Technology United States
IEEE Software United States
Journal of Systems and Software United States
Computer United States
Computer Networks China
Mathematical Problems in Engineering China
Computers in Industry China
ACM Computing Surveys United States
Lecture notes in business information processing relative to Information Systems United States Information Systems's profile →
Citations per field
00.5×2×3×4×4.7×
Information Systems · 1×
Citations per year

Countries where authors publish in Lecture notes in business information processing

Since Specialization
Citations

This map shows the geographic impact of research published in Lecture notes in business information processing. 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 Lecture notes in business information processing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lecture notes in business information processing more than expected).

Fields of papers published in Lecture notes in business information processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Lecture notes in business information processing. 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 Lecture notes in business information processing.

About Lecture notes in business information processing

The 9.5k papers published in Lecture notes in business information processing in the last decades have received a total of 70.6k indexed citations . Papers published in Lecture notes in business information processing usually cover Management Information Systems (2.8k papers), Information Systems (1.5k papers), Software (257 papers), Artificial Intelligence (587 papers) and Management Science and Operations Research (244 papers) specifically the topics of Business Process Modeling and Analysis (2.1k papers), Software Engineering Techniques and Practices (721 papers), Information Technology Governance and Strategy (340 papers), Semantic Web and Ontologies (220 papers), Model-Driven Software Engineering Techniques (185 papers), Blockchain Technology Applications and Security (167 papers), Service-Oriented Architecture and Web Services (133 papers) and Big Data and Business Intelligence (128 papers). The most active scholars publishing in Lecture notes in business information processing are Wil M. P. van der Aalst, Jan Mendling, Dirk Fahland, Henderik Alex Proper, Jan Bosch, Mathias Weske, Manfred Reichert, Hajo Alexander Reijers, Sander J. J. Leemans and Nils Brede Moe.

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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