Michael A. Webb

6.0k total citations · 2 hit papers
84 papers, 3.0k citations indexed

About

Michael A. Webb is a scholar working on Materials Chemistry, Economics and Econometrics and Electrical and Electronic Engineering. According to data from OpenAlex, Michael A. Webb has authored 84 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 17 papers in Economics and Econometrics and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Michael A. Webb's work include Machine Learning in Materials Science (13 papers), Advanced Battery Materials and Technologies (13 papers) and Conducting polymers and applications (12 papers). Michael A. Webb is often cited by papers focused on Machine Learning in Materials Science (13 papers), Advanced Battery Materials and Technologies (13 papers) and Conducting polymers and applications (12 papers). Michael A. Webb collaborates with scholars based in United States, United Kingdom and Spain. Michael A. Webb's co-authors include Thomas F. Miller, Juan Pablo, Nicholas Bloom, John Van Reenen, Charles I. Jones, Brett M. Savoie, Adam J. Gormley, Nicholas E. Jackson, Roshan Patel and Yukyung Jung and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Michael A. Webb

78 papers receiving 2.9k citations

Hit Papers

Are Ideas Getting Harder to Find? 2019 2026 2021 2023 2020 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Webb United States 27 862 770 515 416 264 84 3.0k
Salah Ud‐Din Khan Saudi Arabia 29 822 1.0× 975 1.3× 1.2k 2.4× 263 0.6× 51 0.2× 180 4.2k
Yun Zhang China 61 2.6k 3.0× 2.9k 3.8× 1.9k 3.6× 454 1.1× 199 0.8× 283 9.8k
Wenbo Li China 32 2.3k 2.7× 771 1.0× 397 0.8× 376 0.9× 657 2.5× 210 4.4k
Rui Qi China 30 1.3k 1.5× 670 0.9× 87 0.2× 332 0.8× 202 0.8× 144 2.8k
David P. Brown United States 31 1.1k 1.3× 1.4k 1.8× 625 1.2× 256 0.6× 32 0.1× 166 4.5k
Xiaoming Ma China 28 1.1k 1.2× 687 0.9× 695 1.3× 206 0.5× 320 1.2× 103 3.0k
Li Ma China 28 386 0.4× 251 0.3× 66 0.1× 274 0.7× 163 0.6× 137 2.6k
Mihail C. Roco United States 40 369 0.4× 2.0k 2.6× 585 1.1× 109 0.3× 25 0.1× 87 6.3k
Haifeng Li China 42 2.4k 2.7× 1.9k 2.4× 80 0.2× 419 1.0× 187 0.7× 346 6.6k
Dewen Wang China 39 2.2k 2.6× 1.1k 1.4× 256 0.5× 87 0.2× 58 0.2× 210 5.8k

Countries citing papers authored by Michael A. Webb

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Webb. 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 Michael A. Webb. The network helps show where Michael A. Webb may publish in the future.

Co-authorship network of co-authors of Michael A. Webb

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

All Works

20 of 20 papers shown
1.
Webb, Michael A., et al.. (2025). Sustainable recovery of perfluoroalkyl acids using a reusable molecular cage. Journal of Materials Chemistry A. 13(30). 24466–24472.
2.
Webb, Michael A., et al.. (2024). Engineering a Surfactant Trap via Postassembly Modification of an Imine Cage. Chemistry of Materials. 36(18). 8920–8928. 4 indexed citations
3.
Zhang, Hang, et al.. (2024). Effects of Ligand Chemistry on Ion Transport in 2D Hybrid Organic–Inorganic Perovskites. Advanced Energy Materials. 14(40). 7 indexed citations
4.
An, Yaxin, Michael A. Webb, & William M. Jacobs. (2024). Active learning of the thermodynamics-dynamics trade-off in protein condensates. Science Advances. 10(1). eadj2448–eadj2448. 25 indexed citations
5.
Jiang, Shengli, Adji Bousso Dieng, & Michael A. Webb. (2024). Property-guided generation of complex polymer topologies using variational autoencoders. npj Computational Materials. 10(1). 25 indexed citations
6.
Patel, Roshan, et al.. (2023). Sequence Patterning, Morphology, and Dispersity in Single-Chain Nanoparticles: Insights from Simulation and Machine Learning. ACS Polymers Au. 3(3). 284–294. 21 indexed citations
7.
Liang, Heyi, et al.. (2022). Understanding the Structure and Rheology of Galactomannan Solutions with Coarse-Grained Modeling. Macromolecules. 56(1). 177–187. 8 indexed citations
8.
Sharon, Daniel, Peter Bennington, Michael A. Webb, et al.. (2022). Critical Percolation Threshold for Solvation-Site Connectivity in Polymer Electrolyte Mixtures. Macromolecules. 55(16). 7212–7221. 9 indexed citations
9.
Kosuri, Shashank, Carlos H. Borca, Matthew Tamasi, et al.. (2022). Machine‐Assisted Discovery of Chondroitinase ABC Complexes toward Sustained Neural Regeneration. Advanced Healthcare Materials. 11(10). e2102101–e2102101. 53 indexed citations
10.
Bennington, Peter, Daniel Sharon, Michael A. Webb, et al.. (2021). Role of solvation site segmental dynamics on ion transport in ethylene-oxide based side-chain polymer electrolytes. Journal of Materials Chemistry A. 9(15). 9937–9951. 35 indexed citations
11.
Webb, Michael A., Peter Bennington, Daniel Sharon, et al.. (2021). Role of Molecular Architecture on Ion Transport in Ethylene oxide-Based Polymer Electrolytes. Macromolecules. 54(5). 2266–2276. 52 indexed citations
12.
Gormley, Adam J. & Michael A. Webb. (2021). Machine learning in combinatorial polymer chemistry. Nature Reviews Materials. 6(8). 642–644. 136 indexed citations
13.
Sharon, Daniel, Peter Bennington, Michael A. Webb, et al.. (2021). Molecular Level Differences in Ionic Solvation and Transport Behavior in Ethylene Oxide-Based Homopolymer and Block Copolymer Electrolytes. Journal of the American Chemical Society. 143(8). 3180–3190. 88 indexed citations
14.
Bloom, Nicholas, Charles I. Jones, John Van Reenen, & Michael A. Webb. (2020). Are Ideas Getting Harder to Find?. American Economic Review. 110(4). 1104–1144. 395 indexed citations breakdown →
15.
Webb, Michael A., Nicholas E. Jackson, Phwey S. Gil, & Juan Pablo. (2020). Targeted sequence design within the coarse-grained polymer genome. Science Advances. 6(43). 113 indexed citations
16.
Sharon, Daniel, Peter Bennington, Moshe Dolejsi, et al.. (2020). Intrinsic Ion Transport Properties of Block Copolymer Electrolytes. ACS Nano. 14(7). 8902–8914. 53 indexed citations
17.
Webb, Michael A., et al.. (2020). Understanding Ion Mobility in P2VP/NMP+I Polymer Electrolytes: A Combined Simulation and Experimental Study. Macromolecules. 53(8). 2783–2792. 20 indexed citations
18.
Webb, Michael A.. (2019). The Impact of Artificial Intelligence on the Labor Market. SSRN Electronic Journal. 199 indexed citations breakdown →
19.
Webb, Michael A., et al.. (2018). Graph-Based Approach to Systematic Molecular Coarse-Graining. Journal of Chemical Theory and Computation. 15(2). 1199–1208. 67 indexed citations
20.
Magnan, Gregory M., et al.. (2008). Strategic supplier relationship management. Supply chain management review. 12(4). 8 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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