V. Ya. Lin

About

V. Ya. Lin is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, V. Ya. Lin has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Mathematics, 5 papers in Computational Theory and Mathematics and 3 papers in Mathematical Physics. Recurrent topics in V. Ya. Lin’s work include Polynomial and algebraic computation (3 papers), Geometric and Algebraic Topology (2 papers) and Nonlinear Partial Differential Equations (1 paper). V. Ya. Lin is often cited by papers focused on Polynomial and algebraic computation (3 papers), Geometric and Algebraic Topology (2 papers) and Nonlinear Partial Differential Equations (1 paper). V. Ya. Lin collaborates with scholars based in Israel, United States and Russia. V. Ya. Lin's co-authors include Allan Pinkus, Shimon Schocken, Moshe Leshno and Yehuda Pinchover and has published in prestigious journals such as Neural Networks, Memoirs of the American Mathematical Society and Journal of Approximation Theory.

In The Last Decade

Co-authorship network of co-authors of V. Ya. Lin i

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Fields of papers citing papers by V. Ya. Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Ya. Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by V. Ya. Lin. The network helps show where V. Ya. Lin may publish in the future.

Countries citing papers authored by V. Ya. Lin

Since Specialization

Citations

This map shows the geographic impact of V. Ya. Lin's research. 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 V. Ya. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Ya. Lin 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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