Robert M. Farber
Impact in
- Virology top 10%
- HIV Research and Treatment
Papers in
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- Complex Network Analysis Techniques 3
- Opinion Dynamics and Social Influence 3
- Chaos control and synchronization 2
- Scientific Research and Discoveries 1
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- Distributed and Parallel Computing Systems 3
- Nonlinear Dynamics and Pattern Formation 2
- Co-authors
- Alan S. Lapedes (5 shared papers)Bette Korber (1 shared paper)David H. Wolpert (1 shared paper)I.G. Kevrekidis (2 shared papers)John L. Hudson (1 shared paper)M. Kube (1 shared paper)Ramiro Rico-Martı́nez (1 shared paper)Robert E. Ecke (1 shared paper)
- Journals
- Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)Proceedings of the National Academy of Sciences (1 paper)Physica D Nonlinear Phenomena (1 paper)Journal of Molecular Graphics and Modelling (1 paper)Chemical Engineering Science (1 paper)
- Partner nations
- United StatesHong KongIreland
In The Last Decade
Robert M. Farber
11 papers receiving 318 citations
Peers
Comparison fields: 5 of 81
- Virology 65
- Statistical and Nonlinear Physics 48
- Infectious Diseases 40
- Molecular Biology 154
- Genetics 43
Countries citing papers authored by Robert M. Farber
This map shows the geographic impact of Robert M. Farber'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 Robert M. Farber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Farber more than expected).
Fields of papers citing papers by Robert M. Farber
This network shows the impact of papers produced by Robert M. Farber. 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 Robert M. Farber. The network helps show where Robert M. Farber may publish in the future.
Co-authors
The 16 scholars most cited alongside Robert M. Farber, 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 | 1993 | 216 | |
| 2 | 1990 | 57 | |
| 3 | 2011 | 19 | |
| 4 | 1994 | 18 | |
| 5 | 2010 | 8 | |
| 6 | 2012 | 4 | |
| 7 | 2013 | 3 | |
| 8 | 1995 | 2 | |
| 9 | 2011 | 1 | |
| 10 | Massively Parallel Near-Linear Scalability Algorithms with Application to Unstructured Video Analysis | 2008 | 1 |
| 11 | 2010 | 1 | |
| 12 | 2002 | 0 | |
| 13 | Efficiently modeling neural networks on massively parallel computers | 1993 | 0 |
About Robert M. Farber
Robert M. Farber is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Hardware and Architecture, Molecular Biology and Artificial Intelligence, having authored 13 papers that have together received 330 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Complex Network Analysis Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Opinion Dynamics and Social Influence (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Chaos control and synchronization (2 papers), RNA and protein synthesis mechanisms (2 papers) and Scientific Research and Discoveries (1 paper). The work is most often cited by research in Virology (65 citations), Statistical and Nonlinear Physics (48 citations), Infectious Diseases (40 citations), Molecular Biology (154 citations) and Genetics (43 citations). Robert M. Farber has collaborated with scholars based in United States, Hong Kong and Ireland. Frequent co-authors include Alan S. Lapedes, Bette Korber, David H. Wolpert, I.G. Kevrekidis, John L. Hudson, M. Kube, Ramiro Rico-Martı́nez, Robert E. Ecke, W. N. Reynolds and Courtney D. Corley. Their work appears in journals such as Statistical Analysis and Data Mining The ASA Data Science Journal, Proceedings of the National Academy of Sciences, Physica D Nonlinear Phenomena, Journal of Molecular Graphics and Modelling and Chemical Engineering Science.
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.