Sicco Verwer

About

Sicco Verwer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Sicco Verwer has authored 42 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 7 papers in Computer Networks and Communications. Recurrent topics in Sicco Verwer’s work include Machine Learning and Algorithms (14 papers), Advanced Malware Detection Techniques (6 papers) and Machine Learning and Data Classification (6 papers). Sicco Verwer is often cited by papers focused on Machine Learning and Algorithms (14 papers), Advanced Malware Detection Techniques (6 papers) and Machine Learning and Data Classification (6 papers). Sicco Verwer collaborates with scholars based in The Netherlands, United States and China. Sicco Verwer's co-authors include Toon Calders, Yingqian Zhang, Qin Lin, Jun Wang, Yihuan Zhang, John M. Dolan, Mathijs de Weerdt, Marijn J. H. Heule, Cees Witteveen and Shanchieh Jay Yang and has published in prestigious journals such as Information Sciences, Artificial Intelligence and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Co-authorship network of co-authors of Sicco Verwer i

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Fields of papers citing papers by Sicco Verwer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sicco Verwer

Since Specialization

Citations

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