Matthew Piekenbrock

About

Matthew Piekenbrock is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Matthew Piekenbrock has authored 3 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Theory and Mathematics, 1 paper in Materials Chemistry and 1 paper in Artificial Intelligence. Recurrent topics in Matthew Piekenbrock’s work include Advanced Multi-Objective Optimization Algorithms (2 papers), Data Mining Algorithms and Applications (1 paper) and Machine Learning in Materials Science (1 paper). Matthew Piekenbrock is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (2 papers), Data Mining Algorithms and Applications (1 paper) and Machine Learning in Materials Science (1 paper). Matthew Piekenbrock collaborates with scholars based in United States. Matthew Piekenbrock's co-authors include Michael Hahsler, Derek Doran, Steven M. Arnold and Joshua Stuckner and has published in prestigious journals such as Journal of Statistical Software, Computational Materials Science and AIAA SCITECH 2022 Forum.

In The Last Decade

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

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Fields of papers citing papers by Matthew Piekenbrock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Piekenbrock

Since Specialization

Citations

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