A.A.M. Tax

About

A.A.M. Tax is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, A.A.M. Tax has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Biomedical Engineering and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in A.A.M. Tax’s work include Motor Control and Adaptation (10 papers), Muscle activation and electromyography studies (10 papers) and Neuroscience and Neural Engineering (5 papers). A.A.M. Tax is often cited by papers focused on Motor Control and Adaptation (10 papers), Muscle activation and electromyography studies (10 papers) and Neuroscience and Neural Engineering (5 papers). A.A.M. Tax collaborates with scholars based in The Netherlands and Germany. A.A.M. Tax's co-authors include Volker Dietz, Jacques Duysens, J. J. Denier van der Gon, M. Trippel, C.C.A.M. Gielen, A. John Van Opstal, J.A.M. Van Gisbergen, Casper J. Erkelens, L. Murrer and J. J. van der Gon Denier and has published in prestigious journals such as Journal of Neurophysiology, Brain Research and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of A.A.M. Tax i

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Fields of papers citing papers by A.A.M. Tax

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.A.M. Tax. 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 A.A.M. Tax. The network helps show where A.A.M. Tax may publish in the future.

Countries citing papers authored by A.A.M. Tax

Since Specialization

Citations

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