Jeffrey R. Barker
- Endocrinology top 2%
- Vibrio bacteria research studies 7
- Escherichia coli research studies 5
- Microbiology top 2%
- Reproductive tract infections research 4
- Genetics top 5%
- Bacterial Genetics and Biotechnology 6
- Virology top 5%
- Infectious Diseases top 5%
-
- Bacillus and Francisella bacterial research 10
-
- Scheduling and Optimization Algorithms 4
-
- Multi-Agent Systems and Negotiation 3
-
- Business Process Modeling and Analysis 3
- Co-authors
- Karl E. KloseBernard P. ArulanandamFrancis E. NanoCrystal M. LaurianoRaphael H. ValdiviaDean TjosvoldI. Robert AndrewsTara D. Wehrly
- Cited by
- EndocrinologyMicrobiologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Management Science (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Jeffrey R. Barker
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Endocrinology 301
- Microbiology 191
- Genetics 557
- Virology 89
- Infectious Diseases 311
Countries citing papers authored by Jeffrey R. Barker
This map shows the geographic impact of Jeffrey R. Barker'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 Jeffrey R. Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey R. Barker more than expected).
Fields of papers citing papers by Jeffrey R. Barker
This network shows the impact of papers produced by Jeffrey R. Barker. 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 Jeffrey R. Barker. The network helps show where Jeffrey R. Barker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey R. Barker, 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 | 2022 | 2 | |
| 2 | 2015 | 105 | |
| 3 | 2015 | 13 | |
| 4 | 2014 | 30 | |
| 5 | 2014 | 33 | |
| 6 | 2010 | 15 | |
| 7 | 2009 | 146 | |
| 8 | 2008 | 31 | |
| 9 | 2008 | 134 | |
| 10 | 2007 | 60 | |
| 11 | 2007 | 22 | |
| 12 | Trust and deception in multi-agent trading systems: a logical viewpoint | 2005 | 1 |
| 13 | 2004 | 232 | |
| 14 | A Model for Global Material Management using Dynamic Information | 2004 | 3 |
| 15 | Evolving platforms for process integration in supply networks | 2004 | 1 |
| 16 | Using dynamic information in the supply network | 2004 | 2 |
| 17 | 2004 | 42 | |
| 18 | A Multi-agent Model for Cooperation and Negotiation in Supply Networks | 2004 | 3 |
| 19 | 2003 | 78 | |
| 20 | 1981 | 1 |
About Jeffrey R. Barker
Jeffrey R. Barker is a scholar working on Endocrinology, Management Information Systems and Microbiology, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (10 papers), Vibrio bacteria research studies (7 papers), Bacterial Genetics and Biotechnology (6 papers), Escherichia coli research studies (5 papers), Reproductive tract infections research (4 papers), Scheduling and Optimization Algorithms (4 papers), Multi-Agent Systems and Negotiation (3 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Endocrinology (301 citations), Microbiology (191 citations) and Genetics (557 citations). Jeffrey R. Barker has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Karl E. Klose, Bernard P. Arulanandam, Francis E. Nano, Crystal M. Lauriano, Raphael H. Valdivia, Dean Tjosvold, I. Robert Andrews, Tara D. Wehrly, Jean Celli and Audrey Chong. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Management 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.