Darryl Farber
Impact in
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- Ethics and Social Impacts of AI
Papers in
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- Systems Engineering Methodologies and Applications 1
- Co-authors
- Thayer Patterson (1 shared paper)Irina Brass (1 shared paper)Miguel Ángel Centeno (1 shared paper)Seth D. Baum (1 shared paper)B. R. King (1 shared paper)Joern Fischer (1 shared paper)Daniel Jiménez (1 shared paper)Timon McPhearson (1 shared paper)
- Journals
- Technology in Society (1 paper)Environment Science and Policy for Sustainable Development (1 paper)Interdisciplinary Science Reviews (1 paper)Bulletin of Science Technology & Society (1 paper)AGUFM (1 paper)
- Partner nations
- United StatesSwedenBulgaria
In The Last Decade
Darryl Farber
8 papers receiving 235 citations
Darryl Farber's Hit Papers
Peers
Comparison fields: 5 of 86
- Health Informatics 10
- Safety Research 28
- Management of Technology and Innovation 19
- Business and International Management 5
- Management Information Systems 21
Countries citing papers authored by Darryl Farber
This map shows the geographic impact of Darryl 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 Darryl Farber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl Farber more than expected).
Fields of papers citing papers by Darryl Farber
This network shows the impact of papers produced by Darryl 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 Darryl Farber. The network helps show where Darryl Farber may publish in the future.
Co-authors
The 20 scholars most cited alongside Darryl 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 | Artificial intelligence, systemic risks, and sustainability Hit paper breakdown → | 2021 | 221 |
| 2 | 2001 | 7 | |
| 3 | 2008 | 6 | |
| 4 | The 2007 Pisco earthquake (Mw=8.0), Central Peru: Preliminary Field Investigations and Seismotectonic Context | 2004 | 4 |
| 5 | 2011 | 4 | |
| 6 | Drexler and Smalley: Views from the gallery | 2004 | 1 |
| 7 | 2010 | 1 | |
| 8 | Building a meta-university | 2020 | 1 |
About Darryl Farber
Darryl Farber is a scholar working on History and Philosophy of Science, Control and Systems Engineering, Sociology and Political Science, Information Systems and Management and Cognitive Neuroscience, having authored 8 papers that have together received 245 indexed citations. Recurring topics across this work include Nuclear and radioactivity studies (1 paper), Cognitive Science and Education Research (1 paper), Ecosystem dynamics and resilience (1 paper), Ethics and Social Impacts of AI (1 paper), Science Education and Perceptions (1 paper), Graphite, nuclear technology, radiation studies (1 paper), Systems Engineering Methodologies and Applications (1 paper) and earthquake and tectonic studies (1 paper). The work is most often cited by research in Health Informatics (10 citations), Safety Research (28 citations), Management of Technology and Innovation (19 citations), Business and International Management (5 citations) and Management Information Systems (21 citations). Darryl Farber has collaborated with scholars based in United States, Sweden and Bulgaria. Frequent co-authors include Thayer Patterson, Irina Brass, Miguel Ángel Centeno, Seth D. Baum, B. R. King, Joern Fischer, Daniel Jiménez, Timon McPhearson, Victor Galaz and Amar Causevic. Their work appears in journals such as Technology in Society, Environment Science and Policy for Sustainable Development, Interdisciplinary Science Reviews, Bulletin of Science Technology & Society and AGUFM.
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.