Omega
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In The Last Decade
Omega
3.7k papers receiving 156.0k citations
Fields of papers published in Omega
This network shows the impact of papers published in Omega. 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 Omega.
Countries where authors publish in Omega
This map shows the geographic impact of research published in Omega. 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 Omega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omega more than expected).
- Best-worst multi-criteria decision-making method (2014)
- A dynamic model of process and product innovation (1975)
- A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem (1983)
- Global supplier development considering risk factors using fuzzy extended AHP-based approach (2005)
- Application of support vector machines in financial time series forecasting (2001)
- Multimethodology: Towards a framework for mixing methodologies (1997)
- End-user computing effectiveness: A structural equation model (1990)
- Revisiting the determinants of local government performance (2013)
- Contemporary maintenance management: process, framework and supporting pillars (2005)
- Using a Grey model optimized by Differential Evolution algorithm to forecast the per capita annual net income of rural households in China (2011)
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.