Mathematical Problems in Engineering

18.5k papers and 145.9k indexed citations i.

About

The 18.5k papers published in Mathematical Problems in Engineering in the last decades have received a total of 145.9k indexed citations. Papers published in Mathematical Problems in Engineering usually cover Control and Systems Engineering (4.0k papers), Artificial Intelligence (2.3k papers) and Electrical and Electronic Engineering (2.2k papers) specifically the topics of Adaptive Control of Nonlinear Systems (694 papers), Fractional Differential Equations Solutions (655 papers) and Stability and Control of Uncertain Systems (625 papers). The most active scholars publishing in Mathematical Problems in Engineering are Ming Li, J. A. Tenreiro Machado, Carlo Cattani, Hamid Reza Karimi, S. N. Deepa, K. Gnana Sheela, Yudong Zhang, Shuihua Wang‎, Elmer G. Gilbert and Ilya Kolmanovsky.

In The Last Decade

Fields of papers published in Mathematical Problems in Engineering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mathematical Problems in 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 Mathematical Problems in Engineering.

Countries where authors publish in Mathematical Problems in Engineering

Since Specialization
Citations

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

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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