Benjamin Lipshitz
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 12
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- Interconnection Networks and Systems 8
- Distributed and Parallel Computing Systems 2
- Co-authors
- Oded Schwartz (12 shared papers)James Demmel (11 shared papers)Grey Ballard (9 shared papers)Olga Holtz (3 shared papers)Armando Fox (2 shared papers)Shoaib Kamil (2 shared papers)Austin R. Benson (1 shared paper)Sivan Toledo (3 shared papers)
- Journals
- SIAM Journal on Matrix Analysis and Applications (1 paper)Lecture notes in computer science (1 paper)UC Berkeley (4 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Benjamin Lipshitz
15 papers receiving 295 citations
Peers
Comparison fields: 5 of 37
- Computational Mathematics 58
- Hardware and Architecture 229
- Computer Networks and Communications 216
- Computational Theory and Mathematics 100
- Artificial Intelligence 95
Countries citing papers authored by Benjamin Lipshitz
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
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-authors
The 15 scholars most cited alongside Benjamin Lipshitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 81 | |
| 2 | 2013 | 66 | |
| 3 | 2012 | 41 | |
| 4 | 2012 | 29 | |
| 5 | 2012 | 27 | |
| 6 | 2013 | 25 | |
| 7 | 2016 | 20 | |
| 8 | 2012 | 18 | |
| 9 | 2013 | 9 | |
| 10 | 2024 | 8 | |
| 11 | Communication-Avoiding Parallel Recursive Algorithms for Matrix Multiplication | 2013 | 3 |
| 12 | 2023 | 2 | |
| 13 | 2012 | 2 | |
| 14 | 2016 | 1 | |
| 15 | 2016 | 1 |
About Benjamin Lipshitz
Benjamin Lipshitz is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence and Information Systems, having authored 15 papers that have together received 333 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Interconnection Networks and Systems (8 papers), Complexity and Algorithms in Graphs (4 papers), Stochastic Gradient Optimization Techniques (4 papers), Matrix Theory and Algorithms (3 papers), Advanced Graph Theory Research (2 papers), Recommender Systems and Techniques (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Computational Mathematics (58 citations), Hardware and Architecture (229 citations), Computer Networks and Communications (216 citations), Computational Theory and Mathematics (100 citations) and Artificial Intelligence (95 citations). Benjamin Lipshitz has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Oded Schwartz, James Demmel, Grey Ballard, Olga Holtz, Armando Fox, Shoaib Kamil, Austin R. Benson, Sivan Toledo, Haokai Lu and Yuening Li. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Lecture notes in computer science 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.