Archive for Mathematical Logic

1.5k papers and 8.9k indexed citations i.

About

The 1.5k papers published in Archive for Mathematical Logic in the last decades have received a total of 8.9k indexed citations. Papers published in Archive for Mathematical Logic usually cover Computational Theory and Mathematics (1.0k papers), Geometry and Topology (691 papers) and Artificial Intelligence (485 papers) specifically the topics of Advanced Topology and Set Theory (639 papers), Computability, Logic, AI Algorithms (624 papers) and Advanced Algebra and Logic (375 papers). The most active scholars publishing in Archive for Mathematical Logic are Saharon Shelah, Michael Rathjen, Erja Turunen, Petr Cintula, Ulrich Kohlenbach, Francesc Esteva, Arthur W. Apter, Sara Negri, Kurt Schütte and Petr Hájek.

In The Last Decade

Fields of papers published in Archive for Mathematical Logic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Archive for Mathematical Logic. 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 Archive for Mathematical Logic.

Countries where authors publish in Archive for Mathematical Logic

Since Specialization
Citations

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