Matthew Piekenbrock

778 total citations · 1 hit paper
4 papers, 457 citations indexed

About

Matthew Piekenbrock is a scholar working on Computational Theory and Mathematics, Civil and Structural Engineering and General Health Professions. According to data from OpenAlex, Matthew Piekenbrock has authored 4 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Theory and Mathematics, 1 paper in Civil and Structural Engineering and 1 paper in General Health Professions. Recurrent topics in Matthew Piekenbrock's work include Advanced Multi-Objective Optimization Algorithms (2 papers), Topology Optimization in Engineering (1 paper) and Probabilistic and Robust Engineering Design (1 paper). Matthew Piekenbrock is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (2 papers), Topology Optimization in Engineering (1 paper) and Probabilistic and Robust Engineering Design (1 paper). Matthew Piekenbrock collaborates with scholars based in United States. Matthew Piekenbrock's co-authors include Derek Doran, Michael Hahsler, Steven M. Arnold and Joshua Stuckner and has published in prestigious journals such as Journal of Statistical Software, Computational Materials Science and AIAA Scitech 2020 Forum.

In The Last Decade

Matthew Piekenbrock

3 papers receiving 454 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

dbscan: Fast Density-Based Clustering with R

2019 438 citations Michael Hahsler, Matthew Piekenbrock et al. Journal of Statistical Software profile →

Peers

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).

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.

Co-authorship network of co-authors of Matthew Piekenbrock

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Piekenbrock. A scholar is included among the top collaborators of Matthew Piekenbrock based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Piekenbrock. Matthew Piekenbrock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	Optimal experimental design with fast neural network surrogate models 2021 ·Computational Materials Science ·Joshua Stuckner, Matthew Piekenbrock, Steven M. Arnold, (unknown)	12
2	Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms [R package dbscan version 1.1-6] 2021 ·Michael Hahsler, Matthew Piekenbrock	0
3	Multiscale Analysis of Composites Using Surrogate Modeling and Information Optimal Designs 2020 ·AIAA Scitech 2020 Forum ·Steven M. Arnold, Matthew Piekenbrock, (unknown), Joshua Stuckner	7
4	dbscan: Fast Density-Based Clustering with R breakdown → 2019 ·Journal of Statistical Software ·Michael Hahsler, Matthew Piekenbrock, Derek Doran	438

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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