Emmanuel Sirimal Silva

About

Emmanuel Sirimal Silva is a scholar working on Management Science and Operations Research, Applied Mathematics and Artificial Intelligence. According to data from OpenAlex, Emmanuel Sirimal Silva has authored 61 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Science and Operations Research, 19 papers in Applied Mathematics and 11 papers in Artificial Intelligence. Recurrent topics in Emmanuel Sirimal Silva’s work include Statistical and numerical algorithms (19 papers), Grey System Theory Applications (11 papers) and Forecasting Techniques and Applications (8 papers). Emmanuel Sirimal Silva is often cited by papers focused on Statistical and numerical algorithms (19 papers), Grey System Theory Applications (11 papers) and Forecasting Techniques and Applications (8 papers). Emmanuel Sirimal Silva collaborates with scholars based in United Kingdom, Iran and Norway. Emmanuel Sirimal Silva's co-authors include Hossein Hassani, Xu Huang, Saeed Heravi, Rangan Gupta, Francesca Bonetti, Dag Øivind Madsen, Mansi Ghodsi, Allan Webster, Nikolaos Antonakakis and George Filis and has published in prestigious journals such as Journal of Cleaner Production, Tourism Management and Annals of Tourism Research.

In The Last Decade

Co-authorship network of co-authors of Emmanuel Sirimal Silva i

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Fields of papers citing papers by Emmanuel Sirimal Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel Sirimal Silva. 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 Emmanuel Sirimal Silva. The network helps show where Emmanuel Sirimal Silva may publish in the future.

Countries citing papers authored by Emmanuel Sirimal Silva

Since Specialization

Citations

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