Grey Ballard

2.2k total citations
62 papers, 1.0k citations indexed

About

Grey Ballard is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computational Mathematics. According to data from OpenAlex, Grey Ballard has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Hardware and Architecture, 25 papers in Computational Theory and Mathematics and 24 papers in Computational Mathematics. Recurrent topics in Grey Ballard's work include Parallel Computing and Optimization Techniques (32 papers), Tensor decomposition and applications (24 papers) and Interconnection Networks and Systems (17 papers). Grey Ballard is often cited by papers focused on Parallel Computing and Optimization Techniques (32 papers), Tensor decomposition and applications (24 papers) and Interconnection Networks and Systems (17 papers). Grey Ballard collaborates with scholars based in United States, Israel and United Kingdom. Grey Ballard's co-authors include James Demmel, Oded Schwartz, Olga Holtz, Benjamin Lipshitz, Tamara G. Kolda, Haesun Park, Ramakrishnan Kannan, Austin R. Benson, Michael Anderson and Kurt Keutzer and has published in prestigious journals such as Communications of the ACM, Human Brain Mapping and Journal of the ACM.

In The Last Decade

Grey Ballard

57 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grey Ballard United States 18 563 462 314 254 246 62 1.0k
Jiajia Li United States 19 624 1.1× 371 0.8× 85 0.3× 294 1.2× 271 1.1× 49 948
Edgar Solomonik United States 13 418 0.7× 304 0.7× 82 0.3× 232 0.9× 154 0.6× 40 768
Jaeyoung Choi South Korea 16 721 1.3× 722 1.6× 239 0.8× 192 0.8× 38 0.2× 111 1.3k
Jee Choi United States 10 589 1.0× 456 1.0× 131 0.4× 133 0.5× 106 0.4× 25 762
Louis-Noël Pouchet United States 23 1.3k 2.3× 977 2.1× 171 0.5× 361 1.4× 50 0.2× 74 1.8k
Francisco D. Igual Spain 15 518 0.9× 416 0.9× 122 0.4× 125 0.5× 30 0.1× 83 860
Marc Baboulin France 12 318 0.6× 197 0.4× 301 1.0× 119 0.5× 36 0.1× 31 736
Kazushige Goto United States 6 446 0.8× 346 0.7× 157 0.5× 153 0.6× 35 0.1× 11 774
Emmanuel Agullo France 14 481 0.9× 403 0.9× 191 0.6× 88 0.3× 25 0.1× 34 727
Uday Bondhugula India 23 1.9k 3.4× 1.4k 3.0× 226 0.7× 467 1.8× 66 0.3× 58 2.4k

Countries citing papers authored by Grey Ballard

Since Specialization
Citations

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

Fields of papers citing papers by Grey Ballard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grey Ballard

This figure shows the co-authorship network connecting the top 25 collaborators of Grey Ballard. A scholar is included among the top collaborators of Grey Ballard 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 Grey Ballard. Grey Ballard 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.
Ballard, Grey & Tamara G. Kolda. (2025). Tensor Decompositions for Data Science. Cambridge University Press eBooks. 1 indexed citations
2.
Ballard, Grey, et al.. (2025). Brief Announcement: Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation. SPIRE - Sciences Po Institutional REpository. 633–637. 1 indexed citations
3.
Ballard, Grey, et al.. (2024). Parallel Randomized Tucker Decomposition Algorithms. SIAM Journal on Scientific Computing. 46(2). A1186–A1213. 2 indexed citations
4.
Ballard, Grey, et al.. (2024). Visualizing PRAM Algorithm for Mergesort. 365–368.
5.
Kannan, Ramakrishnan, et al.. (2023). Distributed-Memory Parallel JointNMF. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 301–312. 1 indexed citations
6.
Ballard, Grey, et al.. (2023). Randomized Algorithms for Rounding in the Tensor-Train Format. SIAM Journal on Scientific Computing. 45(1). A74–A95. 13 indexed citations
7.
Ballard, Grey, et al.. (2021). PLANC. ACM Transactions on Mathematical Software. 47(3). 1–37. 7 indexed citations
8.
Ballard, Grey, et al.. (2019). Joint 3D localization and classification of space debris using a multispectral rotating point spread function. Applied Optics. 58(31). 8598–8598. 3 indexed citations
9.
Mokhtari, Fatemeh, Paul J. Laurienti, W. Jack Rejeski, & Grey Ballard. (2018). Dynamic Functional Magnetic Resonance Imaging Connectivity Tensor Decomposition: A New Approach to Analyze and Interpret Dynamic Brain Connectivity. Brain Connectivity. 9(1). 95–112. 10 indexed citations
10.
Ballard, Grey, Christian Ikenmeyer, J. M. Landsberg, & Nick Ryder. (2018). The geometry of rank decompositions of matrix multiplication II: 3 × 3 matrices. Journal of Pure and Applied Algebra. 223(8). 3205–3224. 5 indexed citations
11.
Kannan, Ramakrishnan, Grey Ballard, & Haesun Park. (2016). A high-performance parallel algorithm for nonnegative matrix factorization. ACM SIGPLAN Notices. 51(8). 1–11. 19 indexed citations
12.
Ballard, Grey, et al.. (2016). Hypergraph Partitioning for Sparse Matrix-Matrix Multiplication. 3(3). 1–34. 28 indexed citations
13.
Kannan, Ramakrishnan, Grey Ballard, & Haesun Park. (2016). A high-performance parallel algorithm for nonnegative matrix factorization. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11. 27 indexed citations
14.
Ballard, Grey, et al.. (2016). Parallel Tensor Compression for Large-Scale Scientific Data. arXiv (Cornell University). 912–922. 77 indexed citations
15.
Ballard, Grey, et al.. (2015). Avoiding Communication in Successive Band Reduction. 1(2). 1–37. 5 indexed citations
16.
Benson, Austin R. & Grey Ballard. (2015). A framework for practical parallel fast matrix multiplication. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 42–53. 20 indexed citations
17.
Lipshitz, Benjamin, Grey Ballard, James Demmel, & Oded Schwartz. (2012). Communication-avoiding parallel strassen: implementation and performance. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 25 indexed citations
18.
Ballard, Grey, James Demmel, Olga Holtz, Benjamin Lipshitz, & Oded Schwartz. (2012). Communication-optimal parallel algorithm for strassen's matrix multiplication. 193–204. 68 indexed citations
19.
Baxley, John V. & Grey Ballard. (2011). EXISTENCE OF SOLUTIONS FOR A CLASS OF SINGULAR NONLINEAR THIRD ORDER AUTONOMOUS BOUNDARY VALUE PROBLEMS. 15(2). 1 indexed citations
20.
Ballard, Grey, James Demmel, Olga Holtz, & Oded Schwartz. (2011). Minimizing Communication in Numerical Linear Algebra. SIAM Journal on Matrix Analysis and Applications. 32(3). 866–901. 146 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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