Countries citing papers authored by Bryan Lawrence
Since
Specialization
Citations
This map shows the geographic impact of Bryan Lawrence'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 Bryan Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Lawrence more than expected).
This network shows the impact of papers produced by Bryan Lawrence. 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 Bryan Lawrence. The network helps show where Bryan Lawrence may publish in the future.
Co-authorship network of co-authors of Bryan Lawrence
This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Lawrence.
A scholar is included among the top collaborators of Bryan Lawrence 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 Bryan Lawrence. Bryan Lawrence is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Senior, C. A., Colin Jones, Richard Wood, et al.. (2020). U.K. Community Earth System Modeling for CMIP6. Journal of Advances in Modeling Earth Systems. 12(9). e2019MS002004–e2019MS002004.29 indexed citations
Dadson, Simon, Eleanor Blyth, Richard J. Ellis, et al.. (2019). Hydro-JULES: Next Generation Land-surface and Hydrological Predictions. AGU Fall Meeting Abstracts. 2019. 14578.2 indexed citations
9.
Juckes, Martin, Karl E. Taylor, Paul J. Durack, et al.. (2019). The CMIP6 Data Request (version 01.00.31). SPIRE - Sciences Po Institutional REpository.2 indexed citations
Kershaw, Philip, Bryan Lawrence, José Gómez‐Dans, & John A. Holt. (2015). Cloud hosting of the IPython Notebook to Provide Collaborative Research Environments for Big Data Analysis. EGUGA. 13090.1 indexed citations
14.
Osprey, A., et al.. (2013). A benchmark-driven modelling approach for evaluating deployment choices on a multi-core architecture. Parallel and Distributed Processing Techniques and Applications.1 indexed citations
Lawrence, Bryan, et al.. (2009). Metadata Objects for Linking the Environmental Sciences (MOLES). EGUGA. 4163.1 indexed citations
18.
Drach, R., Ben Eaton, Jonathan M. Gregory, et al.. (2007). The CF Conventions: Governance and Community Issues in Establishing Standards for Representing Climate, Forecast, and Observational Data. AGUFM. 2007.2 indexed citations
19.
Lawrence, Bryan, et al.. (2006). Feature Types' as an Integration Bridge in the Climate Sciences. AGU Fall Meeting Abstracts. 2006.3 indexed citations
20.
Ajtić, Jelena, et al.. (2001). The Impact of Vortex Breakdown on Ozone over New Zealand in 1998. Veterinar – Repository of the Faculty of Veterinary Medicine, University of Belgrade (University of Belgrade, Faculty of Veterinary Medicine). 2001.1 indexed citations
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.