Countries where authors publish in Journal of Complexity
Since Specialization
Citations
This map shows the geographic impact of research published in Journal of Complexity. 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 Journal of Complexity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Complexity more than expected).
Fields of papers published in Journal of Complexity
This network shows the impact of papers published in Journal of Complexity. 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 Journal of Complexity.
About Journal of Complexity
The 1.2k papers published in Journal of Complexity in the last decades have received a total of 20.1k indexed citations . Papers published in Journal of Complexity usually cover Numerical Analysis (595 papers), Computational Theory and Mathematics (518 papers) and Applied Mathematics (292 papers) specifically the topics of Mathematical Approximation and Integration (432 papers), Mathematical functions and polynomials (145 papers), Polynomial and algebraic computation (133 papers), Advanced Numerical Analysis Techniques (110 papers), Advanced Optimization Algorithms Research (108 papers), Matrix Theory and Algorithms (107 papers), Numerical Methods and Algorithms (103 papers) and Iterative Methods for Nonlinear Equations (102 papers). The most active scholars publishing in Journal of Complexity are G.W. Wasilkowski, Madhu Sudan, Ronald DeVore, H. Woźniakowski, Henryk Woźniakowski, Ian H. Sloan, Stefan Heinrich, Ding‐Xuan Zhou, Erich Novak and Eric B. Baum.
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.