Computers in Industry
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In The Last Decade
Computers in Industry
3.1k papers receiving 84.6k citations
Fields of papers published in Computers in Industry
This network shows the impact of papers published in Computers in Industry. 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 Computers in Industry.
Countries where authors publish in Computers in Industry
This map shows the geographic impact of research published in Computers in Industry. 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 Computers in Industry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computers in Industry more than expected).
- Industry 4.0 and the current status as well as future prospects on logistics (2017)
- Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry (2016)
- The industrial internet of things (IIoT): An analysis framework (2018)
- Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture (2020)
- Digital twin paradigm: A systematic literature review (2021)
- Intelligent prognostics tools and e-maintenance (2006)
- Cyber-physical systems and their security issues (2018)
- Robotic Process Automation: Contemporary themes and challenges (2019)
- Extracting and mapping industry 4.0 technologies using wikipedia (2018)
- Is the trend your friend? An analysis of technology 4.0 investment decisions in agricultural SMEs (2019)
- GRAI integrated methodology and its mapping onto generic enterprise reference architecture and methodology (1997)
- A systematic review/survey for JIT implementation: Mexican maquiladoras as case study (2014)
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.