Kanat Tangwongsan

About

Kanat Tangwongsan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Kanat Tangwongsan has authored 24 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. Recurrent topics in Kanat Tangwongsan’s work include Parallel Computing and Optimization Techniques (6 papers), Combinatorial Optimization and Complexity Theory (6 papers) and Adaptation to Concept Drift in Data Streams (6 papers). Kanat Tangwongsan is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Combinatorial Optimization and Complexity Theory (6 papers) and Adaptation to Concept Drift in Data Streams (6 papers). Kanat Tangwongsan collaborates with scholars based in United States, Thailand and Germany. Kanat Tangwongsan's co-authors include Srikanta Tirthapura, Guy E. Blelloch, A. Pavan, Kun‐Lung Wu, Scott Schneider, Martin Hirzel, Kun‐Lung Wu, M. Blume, Umut A. Acar and Richard Peng and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM SIGPLAN Notices.

In The Last Decade

Co-authorship network of co-authors of Kanat Tangwongsan i

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Fields of papers citing papers by Kanat Tangwongsan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kanat Tangwongsan

Since Specialization

Citations

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