Steven K. Kauwe

1.4k total citations · 1 hit paper
15 papers, 970 citations indexed

About

Steven K. Kauwe is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Steven K. Kauwe has authored 15 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 8 papers in Computational Theory and Mathematics and 2 papers in Artificial Intelligence. Recurrent topics in Steven K. Kauwe's work include Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (8 papers) and X-ray Diffraction in Crystallography (7 papers). Steven K. Kauwe is often cited by papers focused on Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (8 papers) and X-ray Diffraction in Crystallography (7 papers). Steven K. Kauwe collaborates with scholars based in United States, Germany and Canada. Steven K. Kauwe's co-authors include Taylor D. Sparks, Ryan Murdock, Jake Graser, Anthony Wang, Jakoah Brgoch, Anton O. Oliynyk, Kristin A. Persson, Aleksander Gurlo, Marcus Parry and Aria Mansouri Tehrani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemistry of Materials and Inorganic Chemistry.

In The Last Decade

Steven K. Kauwe

15 papers receiving 944 citations

Hit Papers

align trajectories

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.

Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices

2020 323 citations Anthony Wang, Ryan Murdock et al. Chemistry of Materials profile →

Peers

Countries citing papers authored by Steven K. Kauwe

Since Specialization

Citations

This map shows the geographic impact of Steven K. Kauwe'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 Steven K. Kauwe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven K. Kauwe more than expected).

Fields of papers citing papers by Steven K. Kauwe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven K. Kauwe. 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 Steven K. Kauwe. The network helps show where Steven K. Kauwe may publish in the future.

Co-authorship network of co-authors of Steven K. Kauwe

This figure shows the co-authorship network connecting the top 25 collaborators of Steven K. Kauwe. A scholar is included among the top collaborators of Steven K. Kauwe 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 Steven K. Kauwe. Steven K. Kauwe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Compositionally restricted attention-based network for materials property predictions 2021 ·npj Computational Materials ·Anthony Wang, Steven K. Kauwe, Ryan Murdock, Taylor D. Sparks	140
2	Skin Electrical Resistance as a Diagnostic and Therapeutic Biomarker of Breast Cancer Measuring Lymphatic Regions 2021 ·IEEE Access ·(unknown), (unknown), (unknown), (unknown), (unknown), Ørjan G. Martinsen, Steven K. Kauwe, Benjamin Sanchez	4
3	Optimizing Fractional Compositions to Achieve Extraordinary Properties 2021 ·Integrating materials and manufacturing innovation ·(unknown), Steven K. Kauwe, Taylor D. Sparks	10
4	Benchmark datasets incorporating diverse tasks, sample sizes, material systems, and data heterogeneity for materials informatics 2021 ·SHILAP Revista de lepidopterología ·(unknown), Steven K. Kauwe, Taylor D. Sparks	11
5	Sequential Machine Learning Applications of Particle Packing with Large Size Variations 2021 ·Integrating materials and manufacturing innovation ·(unknown), Steven K. Kauwe, Taylor D. Sparks	2
6	Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices breakdown → 2020 ·Chemistry of Materials ·Anthony Wang, Ryan Murdock, Steven K. Kauwe, Anton O. Oliynyk, Aleksander Gurlo, Jakoah Brgoch, Kristin A. Persson, Taylor D. Sparks	323
7	Materials Abundance, Price, and Availability Data from the Years 1998 to 2015 2020 ·Integrating materials and manufacturing innovation ·(unknown), Steven K. Kauwe, Taylor D. Sparks	7
8	Benchmark AFLOW Data Sets for Machine Learning 2020 ·Integrating materials and manufacturing innovation ·(unknown), Steven K. Kauwe, Taylor D. Sparks	20
9	Extracting Knowledge from DFT: Experimental Band Gap Predictions Through Ensemble Learning 2020 ·Integrating materials and manufacturing innovation ·Steven K. Kauwe, (unknown), Taylor D. Sparks	30
10	Is Domain Knowledge Necessary for Machine Learning Materials Properties? 2020 ·Integrating materials and manufacturing innovation ·Ryan Murdock, Steven K. Kauwe, Anthony Wang, Taylor D. Sparks	56
11	Machine Learning for Structural Materials 2020 ·Annual Review of Materials Research ·Taylor D. Sparks, Steven K. Kauwe, Marcus Parry, Aria Mansouri Tehrani, Jakoah Brgoch	43
12	Can machine learning find extraordinary materials? 2019 ·Computational Materials Science ·Steven K. Kauwe, Jake Graser, Ryan Murdock, Taylor D. Sparks	80
13	Machine Learning and Energy Minimization Approaches for Crystal Structure Predictions: A Review and New Horizons 2018 ·Chemistry of Materials ·Jake Graser, Steven K. Kauwe, Taylor D. Sparks	159
14	Not Just Par for the Course: 73 Quaternary Germanides RE₄M₂XGe₄ (RE = La–Nd, Sm, Gd–Tm, Lu; M = Mn–Ni; X = Ag, Cd) and the Search for Intermetallics with Low Thermal Conductivity 2018 ·Inorganic Chemistry ·(unknown), Anton O. Oliynyk, (unknown), Abishek K. Iyer, Leila Ghadbeigi, Steven K. Kauwe, Taylor D. Sparks, Arthur Mar	8
15	Machine Learning Prediction of Heat Capacity for Solid Inorganics 2018 ·Integrating materials and manufacturing innovation ·Steven K. Kauwe, Jake Graser, (unknown), Taylor D. Sparks	77

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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