Andrew Polonsky

1.5k total citations
50 papers, 1.0k citations indexed

About

Andrew Polonsky is a scholar working on Mechanical Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Andrew Polonsky has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 12 papers in Materials Chemistry and 10 papers in Artificial Intelligence. Recurrent topics in Andrew Polonsky's work include Additive Manufacturing Materials and Processes (15 papers), Logic, programming, and type systems (10 papers) and Logic, Reasoning, and Knowledge (9 papers). Andrew Polonsky is often cited by papers focused on Additive Manufacturing Materials and Processes (15 papers), Logic, programming, and type systems (10 papers) and Logic, Reasoning, and Knowledge (9 papers). Andrew Polonsky collaborates with scholars based in United States, Netherlands and France. Andrew Polonsky's co-authors include Tresa M. Pollock, McLean P. Echlin, Ryan Dehoff, Michael Kirka, Irene J. Beyerlein, William C. Lenthe, Jean‐Charles Stinville, Marie‐Agathe Charpagne, Chris J. Torbet and George T. Gray and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Acta Materialia.

In The Last Decade

Andrew Polonsky

46 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Polonsky United States 17 658 396 183 171 111 50 1.0k
Marie‐Agathe Charpagne United States 22 829 1.3× 572 1.4× 64 0.3× 437 2.6× 168 1.5× 41 1.1k
Chris J. Torbet United States 15 743 1.1× 383 1.0× 103 0.6× 386 2.3× 184 1.7× 27 966
Jonathan D Madison United States 15 1.1k 1.7× 414 1.0× 561 3.1× 143 0.8× 169 1.5× 35 1.3k
Guillaume Parry France 22 627 1.0× 475 1.2× 37 0.2× 741 4.3× 133 1.2× 75 1.4k
Guglielmo Vastola Singapore 19 712 1.1× 326 0.8× 443 2.4× 57 0.3× 44 0.4× 53 1.3k
Tony Fast United States 13 207 0.3× 318 0.8× 28 0.2× 266 1.6× 48 0.4× 13 626
Michael Engstler Germany 12 486 0.7× 365 0.9× 15 0.1× 83 0.5× 319 2.9× 27 693
Anand K. Kanjarla India 20 1.3k 2.0× 1.4k 3.5× 42 0.2× 808 4.7× 151 1.4× 53 1.9k

Countries citing papers authored by Andrew Polonsky

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Polonsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Polonsky. 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 Andrew Polonsky. The network helps show where Andrew Polonsky may publish in the future.

Co-authorship network of co-authors of Andrew Polonsky

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Polonsky. A scholar is included among the top collaborators of Andrew Polonsky 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 Andrew Polonsky. Andrew Polonsky 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.
Ogoke, Francis, Andrew Polonsky, Anthony Garland, et al.. (2024). ThermoPore: Predicting part porosity based on thermal images using deep learning. Additive manufacturing. 95. 104503–104503. 7 indexed citations
2.
Vaughan, M.W., Hojun Lim, Raiyan Seede, et al.. (2024). The mechanistic origins of heterogeneous void growth during ductile failure. Acta Materialia. 274. 119977–119977. 25 indexed citations
3.
Lamb, J., Kira M. Pusch, Andrew Polonsky, et al.. (2023). Analysis of the high cracking resistance of a Co Ni superalloy during laser additive manufacturing. Scripta Materialia. 239. 115770–115770. 6 indexed citations
4.
Rodriguez, Mark A., et al.. (2022). Texture and strain analysis of tungsten films via Tilt-A-Whirl methodology. Powder Diffraction. 37(2). 52–61. 1 indexed citations
5.
Stinville, Jean‐Charles, Marie‐Agathe Charpagne, Andrew Polonsky, et al.. (2022). Multi-modal Dataset of a Polycrystalline Metallic Material: 3D Microstructure and Deformation Fields. Scientific Data. 9(1). 460–460. 28 indexed citations
6.
Echlin, McLean P., Andrew Polonsky, W.C. Lenthe, et al.. (2022). Observations of Damage, Defects, and Structuring in Femtosecond Laser Ablated Surfaces. Microscopy and Microanalysis. 28(S1). 872–873. 1 indexed citations
7.
8.
Polonsky, Andrew. (2020). Three-Dimensional Characterization of Additively Manufactured Metals. eScholarship (California Digital Library). 2 indexed citations
9.
Murray, Sean P., Kira M. Pusch, Andrew Polonsky, et al.. (2020). A defect-resistant Co–Ni superalloy for 3D printing. Nature Communications. 11(1). 4975–4975. 174 indexed citations
10.
Polonsky, Andrew, Toby Francis, Kira M. Pusch, et al.. (2020). 3D Characterization of a Novel CoNi-superalloy for Additive Manufacturing. Microscopy and Microanalysis. 26(S2). 1688–1690. 1 indexed citations
11.
Stinville, Jean‐Charles, Toby Francis, Andrew Polonsky, et al.. (2020). Time-Resolved Digital Image Correlation in the Scanning Electron Microscope for Analysis of Time-Dependent Mechanisms. Experimental Mechanics. 61(2). 331–348. 21 indexed citations
12.
Charpagne, Marie‐Agathe, Andrew Polonsky, McLean P. Echlin, et al.. (2020). Growth accidents induced by primary γ′ precipitates in a polycrystalline nickel-based superalloy. Scripta Materialia. 186. 109–113. 26 indexed citations
13.
Intrigila, Benedetto, Giulio Manzonetto, & Andrew Polonsky. (2019). Degrees of extensionality in the theory of Bohm trees and salle’s conjecture. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Latypov, Marat I., Andrew Polonsky, McLean P. Echlin, et al.. (2019). BisQue for 3D Materials Science in the Cloud: Microstructure–Property Linkages. Integrating materials and manufacturing innovation. 8(1). 52–65. 8 indexed citations
15.
Polonsky, Andrew & Patricia Johann. (2019). Local Presentability of Certain Comma Categories. Applied Categorical Structures. 28(1). 135–142. 1 indexed citations
16.
Johann, Patricia & Andrew Polonsky. (2019). Higher-Kinded Data Types: Syntax and Semantics. 4 indexed citations
17.
Endrullis, Jörg, et al.. (2018). Coinductive foundations of infinitary rewriting and infinitary equational logic. SHILAP Revista de lepidopterología.
18.
Whitacre, Jay, Sneha Shanbhag, Alexander I. Mohamed, et al.. (2014). A Polyionic, Large‐Format Energy Storage Device Using an Aqueous Electrolyte and Thick‐Format Composite NaTi2(PO4)3/Activated Carbon Negative Electrodes. Energy Technology. 3(1). 20–31. 54 indexed citations
19.
Endrullis, Jörg, et al.. (2014). Discriminating Lambda-Terms Using Clocked Boehm Trees. Logical Methods in Computer Science. Volume 10, Issue 2. 2 indexed citations
20.
Polonsky, Andrew. (2011). Axiomatizing the Quote. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 12. 469. 1 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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