Benjamin Lipshitz

647 citations
14 papers · 269 indexed · h-index 8
Topics
Parallel Computing and Optimization Techniques (12 papers)Interconnection Networks and Systems (7 papers)Stochastic Gradient Optimization Techniques (4 papers)
Journals
SIAM Journal on Matrix Analysis and ApplicationsIEEE International Conference on High Performance Computing, Data, and AnalyticsUC Berkeley
Partner nations
United StatesIsrael

In The Last Decade

Benjamin Lipshitz

14 papers receiving 237 citations

Peers

Benjamin Lipshitz
Comparison fields: 5 of 34
  • Hardware and Architecture 191
  • Computer Networks and Communications 175
  • Artificial Intelligence 78
  • Computational Theory and Mathematics 69
  • Computational Mathematics 47
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Countries citing papers authored by Benjamin Lipshitz

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Lipshitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Lipshitz

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 6
2 2
3 1
4 1
5 16
6 57
7 7
8 23
9
Communication-Avoiding Parallel Recursive Algorithms for Matrix Multiplication
3
10 25
11 68
12 2
13 35
14 23

About Benjamin Lipshitz

Benjamin Lipshitz is a scholar working on Hardware and Architecture, Computational Mathematics and Computational Theory and Mathematics, having authored 14 papers that have together received 269 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Interconnection Networks and Systems (7 papers) and Stochastic Gradient Optimization Techniques (4 papers). The work is most often cited by research in Computational Mathematics (47 citations), Hardware and Architecture (191 citations) and Computer Networks and Communications (175 citations). Benjamin Lipshitz has collaborated with scholars based in United States and Israel. Frequent co-authors include Oded Schwartz, James Demmel, Grey Ballard, Olga Holtz, Armando Fox, Shoaib Kamil, Austin R. Benson, Sivan Toledo, Minmin Chen and Ed H.. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, IEEE International Conference on High Performance Computing, Data, and Analytics and UC Berkeley.

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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