Joshua A. Grochow

1.1k total citations
29 papers, 343 citations indexed

About

Joshua A. Grochow is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Joshua A. Grochow has authored 29 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 13 papers in Artificial Intelligence and 4 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Joshua A. Grochow's work include Coding theory and cryptography (10 papers), Complexity and Algorithms in Graphs (10 papers) and Advanced Graph Theory Research (8 papers). Joshua A. Grochow is often cited by papers focused on Coding theory and cryptography (10 papers), Complexity and Algorithms in Graphs (10 papers) and Advanced Graph Theory Research (8 papers). Joshua A. Grochow collaborates with scholars based in United States, Australia and Canada. Joshua A. Grochow's co-authors include Balaji Santhanam, Jörg Gsponer, M. Madan Babu, Raja Jothi, Teresa M. Przytycka, Arthur Wüster, L. Aravind, Youming Qiao, Laurent Hébert‐Dufresne and Antoine Allard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Joshua A. Grochow

27 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua A. Grochow United States 9 129 88 73 39 34 29 343
Radu Mihaescu United States 6 140 1.1× 103 1.2× 87 1.2× 14 0.4× 39 1.1× 7 381
IT Informatics 7 38 0.3× 61 0.7× 68 0.9× 15 0.4× 82 2.4× 29 314
Michael Fuchs Taiwan 10 40 0.3× 58 0.7× 76 1.0× 46 1.2× 33 1.0× 55 302
Marc Hellmuth Germany 10 183 1.4× 137 1.6× 58 0.8× 10 0.3× 16 0.5× 54 352
Éric Goles Chile 14 100 0.8× 218 2.5× 111 1.5× 108 2.8× 19 0.6× 54 502
Winfried Just United States 14 121 0.9× 131 1.5× 66 0.9× 32 0.8× 24 0.7× 65 578
Marta Casanellas Spain 11 141 1.1× 165 1.9× 72 1.0× 20 0.5× 53 1.6× 35 549
Kent E. Morrison United States 10 17 0.1× 49 0.6× 43 0.6× 35 0.9× 30 0.9× 35 349
Éva Czabarka United States 8 116 0.9× 55 0.6× 20 0.3× 36 0.9× 39 1.1× 28 424
Grzegorz Kubicki United States 9 49 0.4× 83 0.9× 47 0.6× 14 0.4× 21 0.6× 27 225

Countries citing papers authored by Joshua A. Grochow

Since Specialization
Citations

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

Fields of papers citing papers by Joshua A. Grochow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua A. Grochow

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua A. Grochow. A scholar is included among the top collaborators of Joshua A. Grochow 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 Joshua A. Grochow. Joshua A. Grochow 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.
Grochow, Joshua A., Youming Qiao, Katherine E. Stange, & Xiaorui Sun. (2025). On the Complexity of Isomorphism Problems for Tensors, Groups, and Polynomials V: Over Commutative Rings. 777–784. 1 indexed citations
2.
Wolpert, David H., Jan Korbel, Christopher W. Lynn, et al.. (2024). Is stochastic thermodynamics the key to understanding the energy costs of computation?. Proceedings of the National Academy of Sciences. 121(45). e2321112121–e2321112121. 11 indexed citations
3.
Grochow, Joshua A., et al.. (2023). On the Descriptive Complexity of Groups without Abelian Normal Subgroups (Extended Abstract). Electronic Proceedings in Theoretical Computer Science. 390. 185–202.
4.
Grochow, Joshua A. & Youming Qiao. (2023). On the Complexity of Isomorphism Problems for Tensors, Groups, and Polynomials I: Tensor Isomorphism-Completeness. SIAM Journal on Computing. 52(2). 568–617. 4 indexed citations
5.
Grochow, Joshua A. & Youming Qiao. (2023). On p -Group Isomorphism: Search-to-Decision, Counting-to-Decision, and Nilpotency Class Reductions via Tensors. 16(1). 1–39. 3 indexed citations
6.
Grochow, Joshua A., et al.. (2022). Average-case algorithms for testing isomorphism of polynomials, algebras, and multilinear forms. SHILAP Revista de lepidopterología. Volume 14, Issue 1. 2 indexed citations
7.
Grochow, Joshua A. & Youming Qiao. (2021). On the Complexity of Isomorphism Problems for Tensors, Groups, and Polynomials I: Tensor Isomorphism-Completeness. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 4 indexed citations
8.
Grochow, Joshua A. & Youming Qiao. (2021). On p-group isomorphism: search-to-decision, counting-to-decision, and nilpotency class reductions via tensors. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 38. 2 indexed citations
9.
Grochow, Joshua A.. (2020). Complexity in ideals of polynomials: questions on algebraic complexity of circuits and proofs. Bulletin of the European Association for Theoretical Computer Science. 130(130). 1 indexed citations
10.
Bacco, Caterina De, Christopher P. Kempes, Eric Libby, et al.. (2019). Dynamics of beneficial epidemics. CU Scholar (University of Colorado Boulder). 8 indexed citations
11.
Baiser, Benjamin, Dominique Gravel, Alyssa R. Cirtwill, et al.. (2019). Ecogeographical rules and the macroecology of food webs. Global Ecology and Biogeography. 28(9). 1204–1218. 34 indexed citations
12.
Grochow, Joshua A.. (2018). New applications of the polynomial method: The cap set conjecture and beyond. Bulletin of the American Mathematical Society. 56(1). 29–64. 6 indexed citations
13.
Futorny, Vyacheslav, Joshua A. Grochow, & Vladimir V. Sergeichuk. (2018). Wildness for tensors. Linear Algebra and its Applications. 566. 212–244. 12 indexed citations
14.
Grochow, Joshua A. & David H. Wolpert. (2018). Beyond Number of Bit Erasures. ACM SIGACT News. 49(2). 33–56. 2 indexed citations
15.
Church, Thomas M., et al.. (2017). On cap sets and the group-theoretic approach to matrix multiplication. SHILAP Revista de lepidopterología. 35 indexed citations
16.
Hébert‐Dufresne, Laurent, Joshua A. Grochow, & Antoine Allard. (2016). Multi-scale structure and topological anomaly detection via a new network statistic: The onion decomposition. Scientific Reports. 6(1). 31708–31708. 26 indexed citations
17.
Grochow, Joshua A.. (2015). Unifying Known Lower Bounds via Geometric Complexity Theory. Computational Complexity. 24(2). 393–475. 7 indexed citations
18.
Wolpert, David H., Joshua A. Grochow, Eric Libby, & Simon DeDeo. (2014). A framework for optimal high-level descriptions in science and engineering - preliminary report.. arXiv (Cornell University). 2 indexed citations
19.
Babai, László, et al.. (2011). Code Equivalence and Group Isomorphism. 1395–1408. 15 indexed citations
20.
Fortnow, Lance & Joshua A. Grochow. (2011). Complexity classes of equivalence problems revisited. Information and Computation. 209(4). 748–763. 9 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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