Matthew Wicker

About

Matthew Wicker is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Matthew Wicker has authored 9 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Matthew Wicker’s work include Adversarial Robustness in Machine Learning (8 papers), Machine Learning and Algorithms (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Matthew Wicker is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Machine Learning and Algorithms (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Matthew Wicker collaborates with scholars based in United Kingdom, The Netherlands and Italy. Matthew Wicker's co-authors include Marta Kwiatkowska, Min Wu, Wenjie Ruan, Xiaowei Huang, Luca Laurenti, Luca Cardelli, Yarin Gal, Andrea Patané, Nicola Paoletti and Luca Bortolussi and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Matthew Wicker i

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Fields of papers citing papers by Matthew Wicker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Wicker

Since Specialization

Citations

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