Thom Mulders

About

Thom Mulders is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Thom Mulders has authored 7 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 4 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Thom Mulders’s work include Polynomial and algebraic computation (5 papers), Matrix Theory and Algorithms (2 papers) and Combinatorial Optimization and Complexity Theory (2 papers). Thom Mulders is often cited by papers focused on Polynomial and algebraic computation (5 papers), Matrix Theory and Algorithms (2 papers) and Combinatorial Optimization and Complexity Theory (2 papers). Thom Mulders collaborates with scholars based in Switzerland and Canada. Thom Mulders's co-authors include Arne Storjohann and has published in prestigious journals such as Journal of Symbolic Computation, K-Theory and Applicable Algebra in Engineering Communication and Computing.

In The Last Decade

Co-authorship network of co-authors of Thom Mulders i

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Fields of papers citing papers by Thom Mulders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thom Mulders

Since Specialization

Citations

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