G. Ladas

185 papers and 6.7k indexed citations i.

About

G. Ladas is a scholar working on Applied Mathematics, Public Health, Environmental and Occupational Health and Numerical Analysis. According to data from OpenAlex, G. Ladas has authored 185 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Applied Mathematics, 90 papers in Public Health, Environmental and Occupational Health and 70 papers in Numerical Analysis. Recurrent topics in G. Ladas’s work include Nonlinear Differential Equations Analysis (102 papers), Mathematical and Theoretical Epidemiology and Ecology Models (90 papers) and Differential Equations and Numerical Methods (61 papers). G. Ladas is often cited by papers focused on Nonlinear Differential Equations Analysis (102 papers), Mathematical and Theoretical Epidemiology and Ecology Models (90 papers) and Differential Equations and Numerical Methods (61 papers). G. Ladas collaborates with scholars based in United States, Greece and Bosnia and Herzegovina. G. Ladas's co-authors include V. L. Kocic, M. R. S. Kulenović, István Győri, Y. G. Sficas, E. Camouzis, E.A. Grove, V. Lakshmikantham, I. P. Stavroulakis, A. M. Amleh and K. Gopalsamy and has published in prestigious journals such as Communications on Pure and Applied Mathematics, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of G. Ladas i

Fields of papers citing papers by G. Ladas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Ladas

Since Specialization
Citations

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