Suwardi Annas

About

Suwardi Annas is a scholar working on Information Systems, Artificial Intelligence and Modeling and Simulation. According to data from OpenAlex, Suwardi Annas has authored 28 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 7 papers in Artificial Intelligence and 4 papers in Modeling and Simulation. Recurrent topics in Suwardi Annas’s work include Data Mining and Machine Learning Applications (10 papers), Edcuational Technology Systems (4 papers) and COVID-19 epidemiological studies (4 papers). Suwardi Annas is often cited by papers focused on Data Mining and Machine Learning Applications (10 papers), Edcuational Technology Systems (4 papers) and COVID-19 epidemiological studies (4 papers). Suwardi Annas collaborates with scholars based in Indonesia, Malaysia and Japan. Suwardi Annas's co-authors include Wahidah Sanusi, Syafruddin Side, Muh. Rifandi, Muhammad Isbar Pratama, Syafruddin Side, Keiko Watanabe, Abdul Malik, Shiho Sato, Unang Supratman and Desi Harneti and has published in prestigious journals such as Chaos Solitons & Fractals, Advances in Difference Equations and Natural Product Research.

In The Last Decade

Co-authorship network of co-authors of Suwardi Annas i

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Fields of papers citing papers by Suwardi Annas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suwardi Annas

Since Specialization

Citations

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