Adam C. Mater

698 total citations · 1 hit paper
6 papers, 471 citations indexed

About

Adam C. Mater is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Adam C. Mater has authored 6 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in Adam C. Mater's work include Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Adam C. Mater is often cited by papers focused on Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Adam C. Mater collaborates with scholars based in Australia, Canada and Singapore. Adam C. Mater's co-authors include Michelle L. Coote, Benjamin B. Noble, Zhongfan Jia, Michael J. Monteiro, Kai Zhang, Matthew A. Spence, James Nichols, Nobuhiko Tokuriki, C.M. Miton and Colin J. Jackson and has published in prestigious journals such as Physical Chemistry Chemical Physics, Protein Science and Journal of Chemical Information and Modeling.

In The Last Decade

Adam C. Mater

6 papers receiving 459 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.

Deep Learning in Chemistry

2019 399 citations Adam C. Mater, Michelle L. Coote Journal of Chemical Information and Modeling profile →

Peers

Countries citing papers authored by Adam C. Mater

Since Specialization

Citations

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

Fields of papers citing papers by Adam C. Mater

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam C. Mater. 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 Adam C. Mater. The network helps show where Adam C. Mater may publish in the future.

Co-authorship network of co-authors of Adam C. Mater

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

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Investigating the determinants of performance in machine learning for protein fitness prediction 2025 ·Protein Science ·(unknown), Adam C. Mater, (unknown), Matthew A. Spence, (unknown), Colin J. Jackson	1
2	Leveraging ancestral sequence reconstruction for protein representation learning 2024 ·Nature Machine Intelligence ·(unknown), Matthew A. Spence, Adam C. Mater, James Nichols, (unknown), (unknown), Joe A. Kaczmarski, C.M. Miton, Nobuhiko Tokuriki, Colin J. Jackson	6
3	Explainable Molecular Sets: Using Information Theory to Generate Meaningful Descriptions of Groups of Molecules 2021 ·Journal of Chemical Information and Modeling ·Adam C. Mater, Michelle L. Coote	1
4	Deep Learning in Chemistry breakdown → 2019 ·Journal of Chemical Information and Modeling ·Adam C. Mater, Michelle L. Coote	399
5	Effect of heteroatom and functionality substitution on the oxidation potential of cyclic nitroxide radicals: role of electrostatics in electrochemistry 2018 ·Physical Chemistry Chemical Physics ·Kai Zhang, Benjamin B. Noble, Adam C. Mater, Michael J. Monteiro, Michelle L. Coote, Zhongfan Jia	45
6	The effects of Lewis acid complexation on type I radical photoinitiators and implications for pulsed laser polymerization 2016 ·Polymer Chemistry ·Benjamin B. Noble, Adam C. Mater, (unknown), Michelle L. Coote	19

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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