Clive G. Bowsher
- Economics and Econometrics top 2%
- Molecular Biology
- Finance top 5%
- General Economics, Econometrics and Finance top 5%
- Accounting top 10%
- Co-authors
- Peter S. SwainMargaritis VoliotisRoland MeeksRebecca M. PerrettFrank WindmeijerCraig A. McArdleStephen BondChris McWilliams
- Topics
- Gene Regulatory Network Analysis (9 papers)Monetary Policy and Economic Impact (5 papers)Stochastic processes and financial applications (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United KingdomUnited States
In The Last Decade
Clive G. Bowsher
19 papers receiving 964 citations
Peers
Comparison fields: 5 of 112
- Economics and Econometrics 386
- Molecular Biology 367
- Finance 171
- General Economics, Econometrics and Finance 171
- Accounting 86
Countries citing papers authored by Clive G. Bowsher
This map shows the geographic impact of Clive G. Bowsher'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 Clive G. Bowsher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clive G. Bowsher more than expected).
Fields of papers citing papers by Clive G. Bowsher
This network shows the impact of papers produced by Clive G. Bowsher. 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 Clive G. Bowsher. The network helps show where Clive G. Bowsher may publish in the future.
Co-authorship network of co-authors of Clive G. Bowsher
This figure shows the co-authorship network connecting the top 25 collaborators of Clive G. Bowsher. A scholar is included among the top collaborators of Clive G. Bowsher 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 Clive G. Bowsher. Clive G. Bowsher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 32 | |
| 3 | 74 | |
| 4 | 80 | |
| 5 | 15 | |
| 6 | 38 | |
| 7 | 22 | |
| 8 | 86 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 43 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 66 | |
| 17 | 374 | |
| 18 | 11 | |
| 19 | 53 |
About Clive G. Bowsher
Clive G. Bowsher is a scholar working on General Economics, Econometrics and Finance, Finance and Modeling and Simulation, having authored 19 papers that have together received 989 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Monetary Policy and Economic Impact (5 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (171 citations), Finance (171 citations) and Economics and Econometrics (386 citations). Clive G. Bowsher has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Peter S. Swain, Margaritis Voliotis, Roland Meeks, Rebecca M. Perrett, Frank Windmeijer, Craig A. McArdle, Stephen Bond, Chris McWilliams, Philipp Thomas and Ramon Grima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.