Peter Friedland
Impact in
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Bayesian Modeling and Causal Inference
Papers in
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- AI-based Problem Solving and Planning 5
- Semantic Web and Ontologies 4
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- Biomedical Text Mining and Ontologies 4
- Genomics and Phylogenetic Studies 4
- Genetics, Bioinformatics, and Biomedical Research 3
- Gene Regulatory Network Analysis 2
- Co-authors
- Scott Meyers (1 shared paper)Laurence H. Kedes (2 shared papers)Douglas L. Brutlag (3 shared papers)Wray Buntine (1 shared paper)Dennis Howard. Smith (1 shared paper)Yumi Iwasaki (3 shared papers)Larry Kedes (2 shared papers)Jonathan J. King (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Communications of the ACM (3 papers)AI Magazine (1 paper)Nature Biotechnology (1 paper)Cureus (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Peter Friedland
20 papers receiving 311 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 174
- Software 10
- Molecular Biology 139
- Industrial and Manufacturing Engineering 18
- Computer Networks and Communications 34
Countries citing papers authored by Peter Friedland
This map shows the geographic impact of Peter Friedland'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 Peter Friedland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Friedland more than expected).
Fields of papers citing papers by Peter Friedland
This network shows the impact of papers produced by Peter Friedland. 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 Peter Friedland. The network helps show where Peter Friedland may publish in the future.
Co-authors
The 23 scholars most cited alongside Peter Friedland, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Knowledge-based experiment design in molecular genetics | 1979 | 84 |
| 2 | 1984 | 68 | |
| 3 | 1986 | 40 | |
| 4 | 1985 | 28 | |
| 5 | Acquisition of procedural knowledge from domain experts | 1981 | 25 |
| 6 | 1985 | 23 | |
| 7 | A Guide to the Literature on Learning Graphical Models | 1994 | 21 |
| 8 | Knowledge base management for experiment planning in molecular genetics | 1977 | 17 |
| 9 | 1982 | 17 | |
| 10 | 1984 | 11 | |
| 11 | 1982 | 9 | |
| 12 | Industrial strength knowledge bases: issues and experiences | 1983 | 6 |
| 13 | SPEX: a second-generation experiment design system | 1982 | 4 |
| 14 | Knowledge-Based Systems in Japan (Report of the JTEC Panel). | 1994 | 4 |
| 15 | Search Space Characterization for a Telescope Scheduling Application | 1994 | 4 |
| 16 | 1994 | 2 | |
| 17 | Building Intelligent Systems: Artificial Intelligence Research at NASA Ames Research Center | 1987 | 1 |
| 18 | 1987 | 1 | |
| 19 | Practical Planning in COLLAGE | 1994 | 1 |
| 20 | 1983 | 1 |
About Peter Friedland
Peter Friedland is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Signal Processing and Computer Networks and Communications, having authored 24 papers that have together received 368 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (5 papers), Biomedical Text Mining and Ontologies (4 papers), Genomics and Phylogenetic Studies (4 papers), Semantic Web and Ontologies (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Gene Regulatory Network Analysis (2 papers), Data Management and Algorithms (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Artificial Intelligence (174 citations), Software (10 citations), Molecular Biology (139 citations), Industrial and Manufacturing Engineering (18 citations) and Computer Networks and Communications (34 citations). Peter Friedland has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Scott Meyers, Laurence H. Kedes, Douglas L. Brutlag, Wray Buntine, Dennis Howard. Smith, Yumi Iwasaki, Larry Kedes, Jonathan J. King, Mark Stefik and Nancy L. Carrazana San Martín. Their work appears in journals such as Nucleic Acids Research, Communications of the ACM, AI Magazine, Nature Biotechnology and Cureus.
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.