Boundary Value Problems

2.3k papers and 17.3k indexed citations i.

About

The 2.3k papers published in Boundary Value Problems in the last decades have received a total of 17.3k indexed citations. Papers published in Boundary Value Problems usually cover Applied Mathematics (1.7k papers), Computational Theory and Mathematics (817 papers) and Numerical Analysis (672 papers) specifically the topics of Nonlinear Differential Equations Analysis (980 papers), Advanced Mathematical Modeling in Engineering (753 papers) and Nonlinear Partial Differential Equations (660 papers). The most active scholars publishing in Boundary Value Problems are Dumitru Băleanu, Juan J. Nieto, Bashir Ahmad, Shahram Rezapour, Lishan Liu, Precious Sibanda, Stanford Shateyi, Yujun Cui, Ravi P. Agarwal and Sotiris K. Ntouyas.

In The Last Decade

Fields of papers published in Boundary Value Problems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Boundary Value Problems. 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 Boundary Value Problems.

Countries where authors publish in Boundary Value Problems

Since Specialization
Citations

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

Explore journals with similar magnitude of impact

Rankless by CCL
2025