Suran Goonatilake

404 total citations
3 papers, 229 citations indexed

About

Suran Goonatilake is a scholar working on Artificial Intelligence, Management Science and Operations Research and Infectious Diseases. According to data from OpenAlex, Suran Goonatilake has authored 3 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Management Science and Operations Research and 0 papers in Infectious Diseases. Recurrent topics in Suran Goonatilake's work include Stock Market Forecasting Methods (1 paper), Cognitive Science and Mapping (1 paper) and Fuzzy Logic and Control Systems (1 paper). Suran Goonatilake is often cited by papers focused on Stock Market Forecasting Methods (1 paper), Cognitive Science and Mapping (1 paper) and Fuzzy Logic and Control Systems (1 paper). Suran Goonatilake collaborates with scholars based in United Kingdom. Suran Goonatilake's co-authors include Philip Treleaven and has published in prestigious journals such as John Wiley & Sons, Inc. eBooks.

In The Last Decade

Suran Goonatilake

3 papers receiving 201 citations

Peers

Suran Goonatilake
Comparison fields: 5 of 70
  • Artificial Intelligence 131
  • Management Science and Operations Research 45
  • Control and Systems Engineering 24
  • Accounting 23
  • Computational Theory and Mathematics 21
Replace Filip Rudziński with:
Filip Rudziński Poland
Hanwen Li China
Kajal De India
Dawn E. Holmes United States
P. Sevastianov Poland
Ma. Guadalupe Castillo Tapia Mexico
Feng Hu China
Ioannis Partalas Greece
Krystyna Napierała Poland
Waldyn G. Martinez United States
Filip Rudziński Poland View profile →
Citations per field, relative to Suran Goonatilake
Suran Goonatilake · 1×
Citations per year, relative to Suran Goonatilake
Suran Goonatilake · 1×

Countries citing papers authored by Suran Goonatilake

Since Specialization
Citations

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

Fields of papers citing papers by Suran Goonatilake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suran Goonatilake

This figure shows the co-authorship network connecting the top 25 collaborators of Suran Goonatilake. A scholar is included among the top collaborators of Suran Goonatilake based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suran Goonatilake. Suran Goonatilake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
# Work Indexed citations
1
Intelligent Systems for Finance and Business
83
2 2
3
Intelligent Hybrid Systems
144

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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