Kanishka Perera

122 papers and 2.6k indexed citations i.

About

Kanishka Perera is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Kanishka Perera has authored 122 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Applied Mathematics, 100 papers in Computational Theory and Mathematics and 42 papers in Mathematical Physics. Recurrent topics in Kanishka Perera’s work include Nonlinear Partial Differential Equations (105 papers), Advanced Mathematical Modeling in Engineering (97 papers) and Nonlinear Differential Equations Analysis (44 papers). Kanishka Perera is often cited by papers focused on Nonlinear Partial Differential Equations (105 papers), Advanced Mathematical Modeling in Engineering (97 papers) and Nonlinear Differential Equations Analysis (44 papers). Kanishka Perera collaborates with scholars based in United States, Italy and China. Kanishka Perera's co-authors include Zhitao Zhang, Ravi P. Agarwal, Marco Squassina, Donal O′Regan, Yang Yang, Martin Schechter, Shibo Liu, Antonio Iannizzotto, Elves A. B. Silva and M. Victoria Otero‐Espinar and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Journal of Functional Analysis.

In The Last Decade

Co-authorship network of co-authors of Kanishka Perera i

Fields of papers citing papers by Kanishka Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kanishka Perera. 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 Kanishka Perera. The network helps show where Kanishka Perera may publish in the future.

Countries citing papers authored by Kanishka Perera

Since Specialization
Citations

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