Lisa Hellerstein
Impact in
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- Complexity and Algorithms in Graphs
- semigroups and automata theory
- Computability, Logic, AI Algorithms
- Artificial Intelligence top 2%
- Machine Learning and Algorithms
- Algorithms and Data Compression
Papers in
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- Machine Learning and Algorithms 43
- Algorithms and Data Compression 24
- Cryptography and Data Security 7
- Machine Learning and Data Classification 6
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- Complexity and Algorithms in Graphs 23
- semigroups and automata theory 10
- Formal Methods in Verification 5
- Co-authors
- Marek Karpiński (6 shared papers)Nader H. Bshouty (9 shared papers)Dana Angluin (1 shared paper)Richard M. Karp (3 shared papers)Amol Deshpande (6 shared papers)Garth A. Gibson (2 shared papers)David A. Patterson (2 shared papers)Thomas R. Hancock (7 shared papers)
- Journals
- Algorithmica (4 papers)Journal of Computer and System Sciences (4 papers)SIAM Journal on Computing (3 papers)Discrete Applied Mathematics (3 papers)ACM Transactions on Algorithms (3 papers)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Lisa Hellerstein
60 papers receiving 836 citations
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 422
- Artificial Intelligence 595
- Computer Networks and Communications 315
- Hardware and Architecture 80
- Software 24
Countries citing papers authored by Lisa Hellerstein
This map shows the geographic impact of Lisa Hellerstein'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 Lisa Hellerstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Hellerstein more than expected).
Fields of papers citing papers by Lisa Hellerstein
This network shows the impact of papers produced by Lisa Hellerstein. 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 Lisa Hellerstein. The network helps show where Lisa Hellerstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Hellerstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 117 | |
| 2 | 1994 | 98 | |
| 3 | 1989 | 47 | |
| 4 | 1996 | 45 | |
| 5 | 2018 | 44 | |
| 6 | 1995 | 36 | |
| 7 | 2000 | 32 | |
| 8 | 2008 | 30 | |
| 9 | 1992 | 27 | |
| 10 | 1992 | 23 | |
| 11 | 1995 | 22 | |
| 12 | 2014 | 20 | |
| 13 | 2008 | 20 | |
| 14 | 1998 | 19 | |
| 15 | 2006 | 18 | |
| 16 | 1998 | 17 | |
| 17 | 1995 | 17 | |
| 18 | 2006 | 17 | |
| 19 | 1992 | 16 | |
| 20 | 2016 | 15 |
About Lisa Hellerstein
Lisa Hellerstein is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Management Science and Operations Research and Hardware and Architecture, having authored 62 papers that have together received 904 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (43 papers), Algorithms and Data Compression (24 papers), Complexity and Algorithms in Graphs (23 papers), semigroups and automata theory (10 papers), Optimization and Search Problems (9 papers), Cryptography and Data Security (7 papers), Machine Learning and Data Classification (6 papers) and Formal Methods in Verification (5 papers). The work is most often cited by research in Computational Theory and Mathematics (422 citations), Artificial Intelligence (595 citations), Computer Networks and Communications (315 citations), Hardware and Architecture (80 citations) and Software (24 citations). Lisa Hellerstein has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Marek Karpiński, Nader H. Bshouty, Dana Angluin, Richard M. Karp, Amol Deshpande, Garth A. Gibson, David A. Patterson, Thomas R. Hancock, Vijay Raghavan and Randy H. Katz. Their work appears in journals such as Algorithmica, Journal of Computer and System Sciences, SIAM Journal on Computing, Discrete Applied Mathematics and ACM Transactions on Algorithms.
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.