Debra J. Audus

1.8k total citations · 1 hit paper
34 papers, 1.4k citations indexed

About

Debra J. Audus is a scholar working on Materials Chemistry, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Debra J. Audus has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 11 papers in Organic Chemistry and 8 papers in Biomedical Engineering. Recurrent topics in Debra J. Audus's work include Machine Learning in Materials Science (13 papers), Surfactants and Colloidal Systems (8 papers) and Computational Drug Discovery Methods (7 papers). Debra J. Audus is often cited by papers focused on Machine Learning in Materials Science (13 papers), Surfactants and Colloidal Systems (8 papers) and Computational Drug Discovery Methods (7 papers). Debra J. Audus collaborates with scholars based in United States, Australia and Egypt. Debra J. Audus's co-authors include Juan Pablo, Glenn H. Fredrickson, Edward J. Krämer, Craig J. Hawker, Tyler B. Martin, Se Gyu Jang, Daniel Klinger, Kato L. Killops, Daniel V. Krogstad and Jack F. Douglas and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Debra J. Audus

34 papers receiving 1.4k 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.

Emerging Trends in Machine Learning: A Polymer Perspective

2023 101 citations Tyler B. Martin, Debra J. Audus SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Debra J. Audus United States	18	872	541	236	228	210	34	1.4k
Wenfeng Jiang China	19	534 0.6×	358 0.7×	239 1.0×	108 0.5×	336 1.6×	56	1.5k
Stefan Glatzel United Kingdom	13	530 0.6×	248 0.5×	494 2.1×	81 0.4×	90 0.4×	20	1.3k
Ben M. Alston United Kingdom	15	1.1k 1.3×	355 0.7×	368 1.6×	27 0.1×	174 0.8×	15	1.9k
Tarak K. Patra India	16	609 0.7×	173 0.3×	148 0.6×	32 0.1×	84 0.4×	50	992
Zhuo Yang United Kingdom	29	1.0k 1.2×	1.0k 1.9×	147 0.6×	119 0.5×	287 1.4×	97	2.4k
Guang Chen China	14	246 0.3×	85 0.2×	168 0.7×	116 0.5×	64 0.3×	40	753
Jungki Kim United States	14	405 0.5×	593 1.1×	156 0.7×	142 0.6×	162 0.8×	20	1.1k
Gerhard Goldbeck United Kingdom	15	840 1.0×	310 0.6×	115 0.5×	52 0.2×	257 1.2×	65	1.5k
A. Valentini Italy	27	1.1k 1.2×	135 0.2×	485 2.1×	109 0.5×	57 0.3×	124	2.1k
Laurent Simon France	28	1.3k 1.5×	238 0.4×	446 1.9×	66 0.3×	78 0.4×	112	2.4k

Countries citing papers authored by Debra J. Audus

Since Specialization

Citations

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

Fields of papers citing papers by Debra J. Audus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra J. Audus. 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 Debra J. Audus. The network helps show where Debra J. Audus may publish in the future.

Co-authorship network of co-authors of Debra J. Audus

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Perego, Michele, et al.. (2025). Enabling data-driven design of block copolymer self-assembly. Scientific Data. 12(1). 1055–1055. 1 indexed citations

Arora, Akash, Tzyy‐Shyang Lin, Jiale Shi, et al.. (2024). The Block Copolymer Phase Behavior Database. Journal of Chemical Information and Modeling. 64(16). 6464–6476. 6 indexed citations

Shi, Jiale, Dylan J. Walsh, Weizhong Zou, et al.. (2024). Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance. SHILAP Revista de lepidopterología. 4(1). 66–76. 4 indexed citations

Beaucage, Peter A., et al.. (2024). Sorting polyolefins with near-infrared spectroscopy: identification of optimal data analysis pipelines and machine learning classifiers. Digital Discovery. 3(11). 2341–2355. 3 indexed citations

Ivancic, Robert, et al.. (2024). Effect of cosolvents on the phase separation of polyelectrolyte complexes. Soft Matter. 20(37). 7512–7520. 2 indexed citations

Ivancic, Robert & Debra J. Audus. (2024). Predicting compatibilized polymer blend toughness. Science Advances. 10(25). eadk6165–eadk6165. 12 indexed citations

Walsh, Dylan J., Weizhong Zou, Ludwig Schneider, et al.. (2023). Community Resource for Innovation in Polymer Technology (CRIPT): A Scalable Polymer Material Data Structure. ACS Central Science. 9(3). 330–338. 40 indexed citations

Audus, Debra J., Austin McDannald, & Brian DeCost. (2022). Leveraging Theory for Enhanced Machine Learning. ACS Macro Letters. 11(9). 1117–1122. 18 indexed citations

Walsh, Dylan J., Debra J. Audus, Juan Pablo, et al.. (2022). Networks and interfaces as catalysts for polymer materials innovation. Cell Reports Physical Science. 3(11). 101126–101126. 7 indexed citations

10.

Ivancic, Robert, Sara V. Orski, & Debra J. Audus. (2022). Structure–Dilute Solution Property Relationships of Comblike Macromolecules in a Good Solvent. Macromolecules. 55(3). 766–775. 8 indexed citations

11.

Tchoua, Roselyne, Logan Ward, Kyle Chard, et al.. (2019). Active Learning Yields Better Training Data for Scientific Named Entity Recognition. 126–135. 9 indexed citations

12.

Tchoua, Roselyne, Logan Ward, Kyle Chard, et al.. (2018). Towards hybrid human-machine scientific information extraction. 6. 1–3. 3 indexed citations

13.

Audus, Debra J. & Juan Pablo. (2017). Polymer Informatics: Opportunities and Challenges. ACS Macro Letters. 6(10). 1078–1082. 236 indexed citations

14.

Audus, Debra J., et al.. (2017). ZENO: Software for calculating hydrodynamic, electrical, and shape properties of polymer and particle suspensions. Journal of Research of the National Institute of Standards and Technology. 122. 1–2. 37 indexed citations

15.

Tchoua, Roselyne, Kyle Chard, Debra J. Audus, et al.. (2016). A Hybrid Human-computer Approach to the Extraction of Scientific Facts from the Literature. Procedia Computer Science. 80. 386–397. 17 indexed citations

16.

Audus, Debra J., Francis W. Starr, & Jack F. Douglas. (2016). Coupling of isotropic and directional interactions and its effect on phase separation and self-assembly. The Journal of Chemical Physics. 144(7). 74901–74901. 23 indexed citations

17.

Audus, Debra J., Ahmed M. Hassan, Edward J. Garboczi, & Jack F. Douglas. (2015). Interplay of particle shape and suspension properties: a study of cube-like particles. Soft Matter. 11(17). 3360–3366. 37 indexed citations

18.

Krogstad, Daniel V., Soo‐Hyung Choi, Nathaniel A. Lynd, et al.. (2014). Small Angle Neutron Scattering Study of Complex Coacervate Micelles and Hydrogels Formed from Ionic Diblock and Triblock Copolymers. The Journal of Physical Chemistry B. 118(45). 13011–13018. 63 indexed citations

19.

Jang, Se Gyu, Debra J. Audus, Daniel Klinger, et al.. (2013). Striped, Ellipsoidal Particles by Controlled Assembly of Diblock Copolymers. Journal of the American Chemical Society. 135(17). 6649–6657. 235 indexed citations

20.

Audus, Debra J., Kris T. Delaney, Héctor D. Ceniceros, & Glenn H. Fredrickson. (2013). Comparison of Pseudospectral Algorithms for Field-Theoretic Simulations of Polymers. Macromolecules. 46(20). 8383–8391. 25 indexed citations

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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