Jeffrey R. Barker
- Molecular Biology top 10%
- Genetics top 5%
- Infectious Diseases top 5%
- Endocrinology top 2%
- Ecology top 5%
- Co-authors
- Karl E. KloseBernard P. ArulanandamFrancis E. NanoCrystal M. LaurianoRaphael H. ValdiviaDean TjosvoldI. Robert AndrewsTara D. Wehrly
- Topics
- Bacillus and Francisella bacterial research (10 papers)Vibrio bacteria research studies (7 papers)Bacterial Genetics and Biotechnology (6 papers)
- Cited by
- EndocrinologyMicrobiologyGenetics
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Jeffrey R. Barker
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 916
- Genetics 557
- Infectious Diseases 311
- Endocrinology 301
- Ecology 278
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 of co-authors of Jeffrey R. Barker
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. Barker. A scholar is included among the top collaborators of Jeffrey R. Barker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey R. Barker. Jeffrey R. Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 105 | |
| 3 | 13 | |
| 4 | 30 | |
| 5 | 33 | |
| 6 | 15 | |
| 7 | 146 | |
| 8 | 31 | |
| 9 | 134 | |
| 10 | 60 | |
| 11 | 22 | |
| 12 | Trust and deception in multi-agent trading systems: a logical viewpoint | 1 |
| 13 | 232 | |
| 14 | A Model for Global Material Management using Dynamic Information | 3 |
| 15 | Evolving platforms for process integration in supply networks | 1 |
| 16 | Using dynamic information in the supply network | 2 |
| 17 | 42 | |
| 18 | A Multi-agent Model for Cooperation and Negotiation in Supply Networks | 3 |
| 19 | 78 | |
| 20 | 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) and Bacterial Genetics and Biotechnology (6 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.